Publications
Google Scholar Profile ORCID: 0000-0001-9383-7499
Journal Articles
[**] Nilay Kumar, Alexander Dowling, Jeremiah Zartman (2023). Reverse engineering morphogenesis through Bayesian optimization of physics-based models (under review) [preprint]
[**] Kanishka Ghosh, Santiago D. Salas, Alejandro Garciadiego, Jennifer B. Dunn, Alexander W. Dowling (2023). Multiscale Equation-Oriented Optimization Decreases the Carbon Intensity of Shale Gas to Liquid Fuel Processes (under review)
[**] Nicole P. Cortes, John C. Eslick, Alexander A. Noring, Naresh Susarla, Chinedu Okoli, Miguel A. Zamarripa, Douglas A. Allan, John H. Brewer, Arun K.S. Iyengar, Anthony P. Burgard, David C. Miller, Alexander W. Dowling. (2023), Market Optimization and Technoeconomic Analysis of Hydrogen-Electricity Coproduction Systems (under review)
[J45] Laurianne Lair, Jonathan Aubuchon Ouimet, Molly Dougher, Bryan W. Boudouris, Alexander W. Dowling, William A. Phillip (2024). Critical Mineral Separations: Opportunities for Membrane Materials and Processes to Advance Sustainable Economies and Secure Supplies, Annual Reviews in Chemical and Biomolecular Engineering, accepted.
[J44] Madelynn Jean Watson, Pedro Machado, Aline da Silva, Yan Rivera, Celma Ribeiro, Claudio Nascimento, Alexander W Dowling. (2022) Sustainable aviation fuel technologies, costs, emissions, policies, and markets: a critical review, Journal of Cleaner Production. [link]
[J43] Damian T. Agi, Kyla D. Jones, Madelynn J. Watson, Hailey G. Lynch, Molly Dougher, Xinhe Chen, Montana N. Carlozo, Alexander W. Dowling (2024). Computational Toolkits for model-based design and optimization, Current Opinion in Chemical Engineering. [link]
[J42] Barnabas Agbodekhe, Eliseo Marin-Rimoldi, Yong Zhang, Alexander W. Dowling, Edward J. Maginn. (2023). Assessment and Ranking of Difluoromethane (R32) and Pentafluoroethane (R125) Interatomic Potentials Using Several Thermophysical and Transport Properties Across Multiple State Points, Journal of Chemical & Engineering Data. [link]
[J41] Jordan Jalving, Jaffer Ghouse, Nicole Cortes, Xian Gao, Bernard Knueven, Damian Agi, Shawn Martin, Xinhe Chen, Darice Guittet, Radhakrishna Tumbalam-Gooty, Ludovico Bianchi, Keith Beattie, Daniel Gunter, John D Siirola, David C. Miller, Alexander W Dowling (2023), Beyond Price Taker: Conceptual Design and Optimization of Integrated Energy Systems using Machine Learning Market Surrogates, Applied Energy [link]
[J40] Elvis A. Eugene, Kyla D. Jones, Jialu Wang, Xian Gao, Alexander W. Dowling. (2023) Learning and Optimization Under Epistemic Uncertainty with Bayesian Hybrid Models, Computers & Chemical Engineering. [link]
[J39] Jonathan A. Ouimet, Alexander W. Dowling, William A. Phillip. (2023) Isolating the effects of gate layer permeability and sorbent density on the performance of solute-selective polymeric ion pumps, Molecular Systems Design & Engineering. [link]
[J38] Wenjie Shang, Minxiang Zeng, Ali Tanvir, Ke Wang, Mortaza Saeidi-Javash, Alexander Dowling, Tengfei Luo, Yanliang Zhang. (2023) Hybrid Data-driven Discovery of High-performance Silver Selenide-based Thermoelectric Composites, Advanced Material. [link]
[J37] Ning Wang, Montana Carlozo, Eliseo Marin-Rimoldi, Bridgette Befort, Alexander Dowling, Edward Maginn. (2023) Machine Learning Enabled Development of Accurate Force Fields for Refrigerants, Journal of Chemical Theory and Computation [link]
[J36] Bridgette J. Befort, Alejandro Garciadiego, Jialu Wang, Ke Wang, Gabriela Franco, Edward J. Maginn, Alexander W. Dowling (2023). Data Science for Thermodynamic Modeling: A Case Study for Ionic Liquid and Hydrofluorocarbon Refrigerant Mixtures, Fluid Phase Equilibria. [link]
[J35] Ramón González-Pérez, Stephen Adams, Alexander Dowling, William Phillip, Jonathan Whitmer (2023). Thermodynamics of Li+–Crown Ether Interactions in Aqueous Solvent. Journal Physical Chemistry A, [preprint] [link]
[J34] Ke Wang, Minxiang Zeng, Jialu Wang, Wenjie Shang, Yanliang Zhang, Tengfei Luo, Alexander W. Dowling. (2023) When Physics-Informed Data Analytics Outperforms Black-box Machine Learning: A Case Study in Thickness Control for Additive Manufacturing. Digital Chemical Engineering (invited special issue: Rising Stars) 6, p. 100076. [link]
[J33] Alejandro Garciadiego, Bridgette J. Befort, Gabriela Franco, Mozammel Mazumder, and Alexander W. Dowling (2022). What Data Are Most Valuable to Screen Ionic Liquid Entrainers for Hydrofluorocarbon Refrigerant Reuse and Recycling? Industrial & Engineering Chemistry Research, 61(50), p. 18412–18425 [preprint] [link]
[J32] Mortaza Saeidi-Javash, Ke Wang, Minxiang Zeng, Tengfei Luo, Alexander Dowling, Yanliang Zhang (2022), Machine Learning-Assisted Ultrafast Flash Sintering of High-Performance and Wearable Silver-Selenide Thermoelectric Devices. Energy Environmental Science, 15, p. 5093–5104. [link]
[J31] Casey O'Brien, Madelynn Watson, Alexander Dowling (2022). Challenges and Opportunities in Converting CO2 to Carbohydrates. ACS Energy Letters, 7(10), p. 3509–3523. [code] [link]
[J30] Noah P. Wamble, Elvis A. Eugene, William A. Phillip, and Alexander W. Dowling (2022), Optimal Diafiltration Membrane Cascades Enable Green Recycling of Spent Lithium-Ion Batteries. ACS Sustainable Chemistry & Engineering, 10(37), p. 12207–12225. [link]
[J29] Jialu Wang, Alexander Dowling (2022), Pyomo.DOE: An Open-Source Package for Model-Based Design of Experiments in Python. AIChE Journal (invited special issue: Futures 2022), 68(12), p. e17813 [link]
[J28] Kanishka Ghosh, Sergio Vernuccio, Alexander Dowling (2022), Nonlinear Reactor Design Optimization with Embedded Microkinetic Model Information. Frontiers in Chemical Engineering (invited special issue -- Editors’ Showcase: Computational Methods in Chemical Engineering), Vol. 4, p. 898685. [link]
[J27] Xian Gao, Bernard Knueven, John D. Siirola, David C. Miller, Alexander W. Dowling (2022). Multiscale Simulation of Integrated Energy System and Electricity Market Interactions. Applied Energy, 316, p. 11901. [link]
[J26] Krishnendu Mukherjee, Alexander W. Dowling, and Yamil J. Colón (2022), Sequential Design of Adsorption Simulations in Metal-Organic Frameworks. Molecular Systems Design & Engineering. [preprint] [link]
[J25] Kalin R. Baca, Greta M. Olsen, Lucia Matamoros Valenciano, Madelyn G. Bennett, Dorothy M. Haggard, Bridgette J. Befort, Alejandro Garciadiego, Alexander W. Dowling, Edward J. Maginn, Mark B. Shiflett (2022), Phase Equilibria and Diffusivities of HFC-32 and HFC-125 in Ionic Liquids for the Separation of R-410A. ACS Sustainable Chemistry & Engineering, 10(2), p. 816-830. [link]
[J24] Cara Kilmartin, Jonathan Ouimet, Alexander Dowling, William Phillip (2021). Staged Diafiltration Cascades Provide Opportunities to Execute Highly Selective Separations. Industrial & Engineering Chemistry Research, 60(43), p. 15706-15719. [link]
[J23] Ke Wang, Alexander W. Dowling (2022). Bayesian optimization for chemical products and functional materials, Current Opinion in Chemical Engineering, 36, p. 100728 [link] [preprint]
[J22] Jonathan A. Ouimet, Xinhong Liu, David J. Brown, Elvis A. Eugene, Tylar Popps, Zachary W. Muetzel, Alexander W. Dowling, William A. Phillip (2022). DATA: Diafiltration Apparatus for high-Throughput Analysis, J. Membrane Science, 641(1), p. 119743. [link]
[J21] Bridgette J. Befort, Ryan S. DeFever, Garrett M. Tow, Alexander W. Dowling, Edward J. Maginn (2021). Machine Learning Directed Optimization of Classical Molecular Modeling Force Fields, J. Chem. Inf. Model, 61(9), p. 440-4414. [preprint] [link]
[J20] Elvis A. Eugene, William A. Phillip, Alexander W. Dowling (2021). Material Property Targets to Enable Adsorptive Water Treatment and Resource Recovery Systems, ACS EST Engg, 1(8), p. 1171-1182 [link]
[J19] Clay T. Elmore, Alexander W. Dowling (2021). Learning Spatiotemporal Dynamics in Wholesale Energy Markets with Dynamic Mode Decomposition, Energy, 232, p. 121013 [preprint] [link]
[J18] Andrew Lee, Jaffer H. Ghouse, John C. Eslick, Carl D. Laird, John D. Siirola, Miguel A. Zamarripa, Dan Gunter, John H. Shinn, Alexander W. Dowling, Debangsu Bhattacharyya, Lorenz T. Biegler, Anthony P. Burgard, David C. Miller (2021). The IDAES Process Modeling Framework and Model Library – Flexibility for Process Simulation and Optimization, J. Advanced Manufacturing and Processing, 3(3), p. e10095. [link]
[J17] Ryan S. DeFever, Ray A. Matsumoto, Alexander W. Dowling, Peter T. Cummings, Edward J. Maginn (2021). MoSDeF Cassandra: A complete Python interface for the Cassandra Monte Carlo software, J. Computational Chemistry, 42 (18), p. 1321-1331. [link]
[J16] Alejandro Garciadiego, Tengfei Luo, Alexander W. Dowling (2021). Molecular design targets and optimization of low-temperature thermal desalination systems, Desalination, 504, p. 114941. [preprint] [link]
[J15] Ana Rita C. Morais, Abby Harders, Kalin Baca, Greta M. Olson, Mark B. Shiflett, Bridgett Befort, Alexander W. Dowling, Edward J. Maginn (2020). Phase Equilibria, Diffusivities, and Equation of State Modeling of HFC-32 and HFC-125 in Imidazolium-based Ionic Liquids for the Separation of R-410A, Industrial Engineering & Chemistry Research, 59(40), p. 18222–18235. [link]
[J14] Fani Boukouvala, Alexander Dowling, Jonathan Verrett, Zachary Ulissi, Victor Zavala (2020). Computational Notebooks in Chemical Engineering Curricula, Chemical Engineering Education, 54 (3), p. 143 - 150. [link]
[J13] Farshud Sorourifar, Victor M. Zavala, Alexander W. Dowling (2020). Integrated Multiscale Design, Market Participation, and Replacement Strategies for Battery Energy Storage Systems, IEEE Trans. Sustainable Energy, 11(1), p. 84-92. [link]
[J12] Elvis A. Eugene, William A. Phillip, Alexander W. Dowling (2019). Data Science-Enabled Molecular-to-Systems Engineering for Sustainable Water Treatment, Current Opinion in Chemical Engineering, 26, p. 122–130. [open access link]
[J11] Jose A. Renteria, Yankai Cao, Alexander W. Dowling, and Victor M. Zavala (2018). Optimal PID controller tuning using stochastic programming techniques, AIChE Journal 64 (8), p. 2997 – 3010. [link]
[J10] Alexander W. Dowling, Tian Zheng, and Victor M. Zavala (2018). A decomposition algorithm for simultaneous scheduling and control of CSP systems, AIChE Journal 64 (8), p. 2480-2417. [link]
[J9] Alexander W. Dowling and Victor M. Zavala (2018). Economic Opportunities for Industrial Systems from Frequency Regulation Markets, Computers & Chemical Engineering 114 (9), p. 254-264. [link]
[J8] Alexander W. Dowling, Tian Zheng, and Victor M. Zavala (2017). Economic Assessment of Concentrated Solar Power Technologies: A Review, Renewable and Sustainable Energy Reviews 72, p. 1019–1032. [link] [preprint]
[J7] Alexander W. Dowling, Ranjeet Kumar, Victor M. Zavala (2017). A Multi-Scale Optimization Framework for Electricity Market Participation, Applied Energy 190, p. 147-164. [link] [preprint]
[J6] Luis Fabian Fuentes-Cortes, Alexander W. Dowling, Carlos Rubio-Maya, Victor M. Zavala, and Jose Ponce-Ortega (2016). Integrated design and control of multigeneration systems for building complexes, Energy 116.2, p. 1403–1416. [link]
[J5] Alexander W. Dowling, Gerardo Ruiz-Mercado, and Victor M. Zavala (2016). A Framework for Multi-Stakeholder Decision-Making and Conflict Resolution. Computers & Chemical Engineering 90, p. 136 – 150. [link]
[J4] Jinliang Ma, John P. Eason, Alexander W. Dowling, Lorenz T. Biegler, and David C. Miller (2016). Development of a first-principles hybrid boiler model for oxy-combustion power generation system. International Journal of Greenhouse Gas Control 46, p. 136 – 157. [link]
[J3] Alexander W. Dowling, Cheshta Balwani, Qianwen Gao, and Lorenz T. Biegler (2015). Optimization of Sub-Ambient Separation Systems with Embedded Cubic Equation of State Thermodynamic Models and Complementarity Constraints. Computers & Chemical Engineering 81, p. 323 – 343. [link]
[J2] Alexander W. Dowling and Lorenz T. Biegler (2015). A Framework for Large Scale Equation-Oriented Flowsheet Optimization. Computers & Chemical Engineering 72.2, p. 3 – 20. [link]
[J1] Alexander W. Dowling, Sree R. R. Vetukuri, and Lorenz T. Biegler (2012). Large-Scale Optimization Strategies for Pressure Swing Adsorption. AIChE Journal 58.12, p. 3777-3791. [link]
Presentations
2024
2023
Damian T. Agi, Alexander W. Dowling, Hani A.E. Hawa, and Kyle Hawley. Nonlinear Differential Algebraic Model of a Water-Gas Shift Membrane Reactor for Low-Carbon Hydrogen Production. American Institute of Chemical Engineers Annual Meeting (AIChE 2023), Orlando, FL. Oral presentation. November 7, 2023. [link]
Montana N. Carlozo, Ning Wang, Bridgette J. Befort, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization for Nonlinear Model and Force Field Calibration. American Institute of Chemical Engineers Annual Meeting (AIChE 2023). Orlando, FL. Oral presentation. November 6, 2023. [link]
Damian T. Agi, Alexander W. Dowling, and Hani A.E. Hawa. Techno-economic Optimization of Pd-based Water-Gas Shift Membrane Reactors for Low-Cost Blue H2. National Organization for the Professional Development of Black Chemists and Chemical Engineers (NOBCChE) Conference, New Orleans, Louisiana. Poster. September 13, 2023.
Kyla D. Jones and Alexander W. Dowling. Optimization Under Uncertainty with Bayesian Hybrid Models: Application to Kinetic Modeling. Modeling and Optimization: Theory and Applications (MOPTA). Bethlehem, PA. Oral presentation. August 16, 2023. [link]
Xinhong Liu, Jonathan A. Ouimet, William A. Phillip, and Alexander W. Dowling. Optimization of Reactive Ink Formulation for Controlled Membrane Patterning. ACS Fall 2023. San Francisco, CA. Poster. August 15, 2023. [link]
Xinhe Chen, Radhakrishna Tumbalam-Gooty, Darice Guittet, and Alexander W. Dowling. Multiperiod Optimization of Integrated Energy Systems with Machine-Learning Surrogates to Predict Market Impacts. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023. [link]
Hailey G. Lynch, Jialu Wang, and Alexander W. Dowling. Model-Based Design of Experiments and Pyomo.DoE. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023. [link]
Ke Wang, and Alexander W. Dowling. Optimization Of Modern Manufacturing for Thermoelectric Material Using Machine Learning And Data Science. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023.
Kyla D. Jones, Shivam Kumar, and Alexander W. Dowling. On the Identifiability of Hybrid Models: Application to Adsoprtion Modeling. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023. [link]
Montana N. Carlozo, Bridgette J. Befort, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization for Nonlinear Model Calibration. Foundations of Process/product Analytics and Machine learning (FOPAM). Davis, CA. Poster presentation. August 2, 2023. [link]
Montana N. Carlozo, Bridgette J. Befort, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization Formulations for Nonlinear Model Calibration. 5th i-CoMSE Workshop: Machine Learning for Molecular Science. Twin Cities, MN. Poster presentation. July 13, 2023. [link]
Montana N. Carlozo, Bridgette J. Befort, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization Formulations for Nonlinear Model Calibration. SIAM Conference on Optimization (SIAM OP 2023). Seattle, WA. Oral presentation. May 31, 2023. [link]
Kyla D. Jones and Alexander W. Dowling. Optimization Under Uncertainty with Bayesian Physicochemical Models. SIAM Conference on Optimization (SIAM OP 2023). Seattle, WA. Oral presentation. May 31, 2023.
Xinhong Liu, William A. Phillip, and Alexander W. Dowling. Data Analytics for Membrane Material Innovations. SIAM Conference on Optimization (SIAM-OP 2023). Seattle, WA. Poster. May 31, 2023. [link]
Jialu Wang and Alexander W. Dowling. Characterizing the Pareto Optimal Trade-off between Model-based Information Content and Measurements Cost. SIAM Conference on Optimization (SIAM-OP 2023). Seattle, WA. Poster. May 31, 2023. [link]
Jialu Wang and Alexander W. Dowling. Characterizing the Pareto Optimal Trade-off between Model-based Information Content and Measurements Cost. Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC 2023). San Antonio, TX. Poster. January 9, 2023.
Xinhong Liu, Jonathan A. Ouimet, Laurianne Lair, William A. Phillip, and Alexander W. Dowling. Optimizing Membrane Characterization using the DATA (Diafiltration Apparatus for high-Throughput Analysis) Framework. Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC 2023). San Antonio, TX. Poster. January 9, 2023.
Kyla D. Jones, Elvis A. Eugene, and Alexander W. Dowling. Decision Making with Hybrid Models Under Parameter and Epistemic Uncertainty: Reactor Optimization Case Study. Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC 2023). San Antonio, TX. Poster. January 9, 2023.
2022
Elvis A. Eugene*, Kyla D. Jones, Jialu Wang, and Alexander W. Dowling. Optimization Under Uncertainty with Bayesian Hybrid Models. AIChE Annual Meeting. Phoenix, AZ. November 17, 2022. [link]
Jialu Wang* and Alexander W. Dowling. Pyomo.DoE: An Open-source Package for Model-based Design of Experiments in Python. AIChE Annual Meeting. Phoenix, AZ. November 16, 2022. [link]
Bridgette Befort*, Ryan DeFever, Edward Maginn, Alexander Dowling. Machine Learning-Enabled Optimization of Classical Molecular Models. AIChE Annual Meeting. Phoenix, AZ, November 14, 2022.
Xinhong Liu*, Jonathan A. Ouimet, Laurianne Lair, William Phillip and Alexander Dowling. Improved Characterization of Membrane Transport Properties through Advanced Data Analytics. AIChE Annual Meeting. Phoenix, AZ. November 14th, 2022. [link]
Kanishka Ghosh*, Santiago D. Salas, Jennifer B. Dunn, and Alexander W. Dowling. Nonlinear Reactor Design Optimization with Embedded Microkinetic Information for Sustainable Shale Gas Processing. AIChE Annual Meeting. Phoenix, AZ. November 14th, 2022. [link]
Nicole P Cortes*, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel A Zamarripa, Arun Iyengar, Anthony P. Burgard, David C. Miller, Douglas Allan, and Alexander W. Dowling. Co-optimizing the Design and Operation Strategy of Solid Oxide Fuel Cell-based Hydrogen-Electricity Co-Production Systems. AIChE Annual Meeting. Phoenix, AZ. November 13, 2022.
Xinhong Liu*, Jonathan A. Ouimet, Laurianne Lair, William Phillip and Alexander Dowling. Improved Characterization of Membrane Transport Properties through Data Analytics. INFORMS Annual Meeting. Indianapolis, IN. October 17, 2022. [link]
Kyla D. Jones*, Elvis A. Eugene, and Alexander W. Dowling. Optimization Under Uncertainty with Bayesian Hybrid Models. INFORMS Annual Meeting. Indianapolis, IN. Flash Talk. October 19, 2022. [link]
Kanishka Ghosh* and Alexander W. Dowling. Nonlinear Reaction Design Optimization with Embedded Microkinetic Information. INFORMS Annual Meeting. Indianapolis, IN. October 17, 2022. [link]
Montana N. Carlozo*, Bridgette J. Befort, Nilay Kumar, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization Formulations for Nonlinear Model Calibration. INFORMS Annual Meeting. Indianapolis, IN. Poster. October 16, 2022. [link]
Nicole P Cortes*, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel A Zamarripa, Arun Iyengar, Anthony P. Burgard, David C. Miller, Douglas Allan, and Alexander W. Dowling. Co-optimizing the Design and Operation Strategy of Solid Oxide Fuel Cell-based Hydrogen-Electricity Co-Production Systems. INFORMS Annual Meeting. Indianapolis, IN. October 16, 2022. [link]
Xinhe Chen* and Alexander W. Dowling. Multi-Period Integrated Energy System Conceptual Design Problem with Market Surrogates. INFORMS Annual Meeting, Indianapolis, IN. October 16, 2022. [link]
Ke Wang* and Alexander W. Dowling. Bayesian Optimization in Material Science and Applications to Thermoelectric Materials. INFORMS Annual Meeting, Indianapolis, IN. October 16, 2022. [link]
Jialu Wang* and Alexander W. Dowling. Pyomo.DoE: An Open-source Package for Model-based Design of Experiments in Python. INFORMS Annual Meeting, Indianapolis, IN. October 16, 2022. [link]
Damian T. Agi*, Alexander W. Dowling, and Hani A.E. Hawa. Mathematical Modeling and Optimization of a Water-Gas Shift Membrane Reactor for Blue H2 Production. NOBCChE Conference, Orlando, FL. Poster. September 28,2022.
Xinhong Liu*, Jonathan A. Ouimet, Laurianne Lair, William Phillip and Alexander Dowling. Improved Characterization of Membrane Transport Properties through Data Analytics. SIAM Mathematics of Data Science. San Diego, CA. September 28, 2022. [link]
Jialu Wang* and Alexander W. Dowling. Pyomo.DoE: An Open-source Package for Model-based Design of Experiments in Python. SIAM Mathematics of Data Science. San Diego, CA. September 28, 2022. [link]
Kyla D. Jones*, Elvis A. Eugene, and Alexander W. Dowling. Uncertainty Quantification and Optimization with Bayesian Hybrid Models for Chemical Sciences, Engineering, and Beyond. SIAM Mathematics of Data Science. San Diego, CA. Poster. September 28, 2022. [link]
Damian D. Agi*, Alexander W. Dowling, and Hani A. E. Hawa. Mathematical Modeling and Optimization of a Water-Gas Shift Membrane Reactor for Blue H2 Production. ND CBE 8th Annual Research Symposium. Poster. September 23, 2022.
Montana N. Carlozo*, Bridgette J. Befort, Nilay Kumar, Edward J. Maginn, and Alexander W. Dowling. Bayesian Optimization Formulations for Nonlinear Model Calibration. ND CBE 8th Annual Research Symposium. Poster. September 23, 2022.
Nicole P Cortes*, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel A Zamarripa, Arun Iyengar, Anthony P. Burgard, David C. Miller, Douglas Allan, and Alexander W. Dowling. Co-optimizing the Design and Operation Strategy of Solid Oxide Fuel Cell-based Hydrogen-Electricity Co-Production Systems. ND CBE 8th Annual Research Symposium. Poster. September 23, 2022.
Kyla D. Jones*, Elvis A. Eugene, and Alexander W. Dowling. Kennedy & O'Hagan Hybrid Models for Decision Making Under Uncertainty. ND CBE 8th Annual Research Symposium. Poster. September 23, 2022.
Jialu Wang, Alexander W. Dowling*. Pyomo.DoE: Model-based Design of Experiments using Pyomo. International Conference on Continuous Optimization (ICCOPT/MOPTA), Bethlehem, PA. Oral Presentation. July 28, 2022.
Xinhong Liu*, Alexander Pérez, John R. Hoffman, William A. Phillip, Alexander W. Dowling. Optimization of Reactive Ink Formulation for Additive Manufacturing of Charged Membranes. International Conference on Continuous Optimization (ICCOPT/MOPTA), Bethlehem, PA. Poster. July 25, 2022.
Nicole P Cortes*, John C. Eslick, Alexander Noring, Naresh Susarla, Chinedu Okoli, Miguel A Zamarripa, Arun Iyengar, Anthony P. Burgard, David C. Miller, Douglas Allan, and Alexander W. Dowling. Co-optimizing the Design and Operation Strategy of Solid Oxide Fuel Cell-based Hydrogen-Electricity Co-Production Systems. International Conference on Continuous Optimization (ICCOPT/MOPTA), Bethlehem, PA. Poster. July 25, 2022.
Ke Wang* and Alexander W. Dowling. Constrained Bayesian optimization for AgSe Flash Sintering. International Conference on Continuous Optimization (ICCOPT/MOPTA), Bethlehem, PA. Poster. July 25, 2022.
Ke Wang*, Minxiang Zeng, Zeyu Liu, Yanliang Zhang, Tengfei Luo, Alexander W. Dowling. Comparison of Gaussian Process Regression Models for AgSe Flash Sintering. PSE2021+, Kyoto, Japan. Poster.
Bridgette J. Befort*, Ryan S. DeFever, Edward J. Maginn, and Alexander W. Dowling. Machine Learning-Enabled Optimization of Force Fields for Hydrofluorocarbons. PSE2021+. June 23, 2022.
Nicole P Cortes*, Xian Gao, Bernard Knueven and Alexander W. Dowling. Estimating Energy Market Schedules Using Historical Price Data. PSE 2021+. Poster. June 23, 2022.
Jialu Wang*, Elvis A. Eugene, and Alexander W. Dowling. Scalable stochastic programming for Bayesian hybrid models. PSE2021+. Poster. June 23, 2022.
Xinhong Liu*, Jialu Wang, Jonathan A. Ouimet, William A. Phillip, Alexander W. Dowling. Membrane Characterization with Model-Based Design of Experiment. PSE2021+. June 23, 2022.
Xinhong Liu*, Riju De, Alexander Pérez, John R. Hoffman, William A. Phillip, Alexander W. Dowling. Mathematical Modelling of Reactive Inks for Additive Manufacturing of Charged Membranes. PSE2021+. Poster. June 23, 2022.
Montana N. Carlozo*, Bridgette J. Befort, Nilay Kumar, Edward J. Maginn, and Alexander W. Dowling. Applications of Bayesian Optimization for the Rapid Calibration of Molecular Modeling Force Fields. Midwest Thermodynamics and Statistical Mechanics (MTSM) Conference. Poster. June 6, 2022.
Alexander Dowling. (Contributors: Alejandro Garciadiego, Bridgette Befort, Gabriela Franco, Mozammel Mazumder, Ryan DeFever, Garret Tow, Edward Maginn). From Data to Process Design: Modeling Azeotropic Separation of High Global Warming Potential Hydrofluorocarbon Refrigerants Using Ionic Liquids. 26th Annual Green Chemistry & Engineering Conference. Reston, VA. June 6, 2022.
Jialu Wang* and Alexander W. Dowling. Pyomo.DOE: Model-Based Design of Experiments in Pyomo. Advanced Manufacturing and Processing Conference, Bethesda, MD. June 3, 2022.
Elvis A. Eugene*, Jialu Wang, Xian Gao, Alexander Dowling. Optimization under Epistemic Uncertainty Using Bayesian Hybrid Models. SIAM Conference on Uncertainty Quantification, April 12 - 15, 2022.
Bridgette J. Befort*, Ryan S. DeFever, Alexander W. Dowling, and Edward J. Maginn. Machine Learning-Enabled Automated Optimization of Force Fields. American Chemical Society Spring Conference, San Diego, CA. March 23, 2022.
2021
Alexander W. Dowling. Rethinking Computing Education with Vocareum and Canvas. ND Learning Faculty Presentation. November 18, 2021. [slides]
Jialu Wang* and Alexander W. Dowling. Model-Based Design of Experiments in Pyomo and Its Application to Adsorptive CO2 Capture Systems. AIChE Annual Meeting, Boston, MA, November 11, 2021. [link]
Bridgette J. Befort*, Alejandro Garciadiego, Gabriela Franco, Edward J. Maginn, and Alexander W. Dowling. Managing Model and Data Alternatives with the Design of Ionic Liquid Enabled Separations of High Global Warming Potential Hydrofluorocarbon Refrigerants. AIChE Annual Meeting, Boston, MA, November 11, 2021. [link]
Elvis A. Eugene*, Noah Wamble, William A. Phillip, and Alexander W. Dowling. Superstructure Optimization Enabled Design Heuristics and Material Property Targets for Continuous Diafiltration Membrane Cascades, AIChE Annual Meeting, Boston, MA, November 11, 2021. [link]
Kanishka Ghosh* and Alexander W. Dowling. Beyond R2: Cautionary Tales Using Reduced-Order Kinetic Models for Reactor Optimization, AIChE Annual Meeting, Boston, MA, November 10, 2021. [link]
Elvis A. Eugene*, William A. Phillip, and Alexander W. Dowling. Material Property Targets for Emerging Adsorptive Water Treatment and Resource Recovery Systems, AIChE Annual Meeting, Boston, MA, November 10, 2021. [link]
Jordan Jalving, Jaffer Ghouse, Bernard Knueven, John Siirola, David C. Miller, Alexander W. Dowling*. Toward Future Energy Generation Systems: Multi-Scale Optimization with Market Interactions, AIChE Annual Meeting, Boston, MA, November 10, 2021. [link]
Alejandro Garciadiego*, Tengfei Luo, and Alexander W. Dowling. Molecular Design Targets and Optimization of Low-Temperature Thermal Desalination Systems. AIChE Annual Meeting, Boston, MA, November 9, 2021. [link]
Xinhong Liu*, Jonathan A. Ouimet, Elvis Eugene, William Phillip and Alexander Dowling. High Throughput Characterization of Membrane Transport Properties through Data Analytics. AIChE Annual Meeting, Boston, MA, November 9, 2021. [link]
Elvis A. Eugene* and Alexander W. Dowling. Decision-Making Under Epistemic Uncertainty Using Bayesian Hybrid Models. AIChE Annual Meeting, Boston, MA, November 8, 2021. [link]
Xian Gao* and Alexander W. Dowling. A Multi-Scale Modeling Paradigm for Energy System Operation and Design. AIChE Annual Meeting, Boston, MA, November 7, 2021. [link]
Xian Gao*, Nicole Cortes and Alexander W. Dowling. Optimization Workflows to Quantify the Resource-grid Interactions in Wholesale Energy Markets. INFORMS Annual Meeting, Anaheim, CA, Oct. 24, 2021.
Bridgette Befort*, Ryan DeFever, Garret Tow, Alexander Dowling, Edward Maginn. Machine Learning Directed Optimization of Force Fields. SIAM Conference on Optimization, July 22, 2021.
Bridgette Befort*, Ryan DeFever, Garret Tow, Alexander Dowling, Edward Maginn. Efficient Force Field Tuning for Predicting Thermophysical Properties. NIST 21st Symposium on Thermophysical Properties, June 24, 2021.
Alejandro Garciadiego*, Bridgette Befort*, Ryan DeFever, Gabriela Franco, Edward Maginn, Alexander Dowling. From Data to Design: Modeling and Screening Ionic Liquids for the Design of Separation Processes Enabling the Responsible Recycle of Azeotropic Hydrofluorocarbon Refrigerant Mixtures. ESCAPE CAPE Forum, June 11, 2021.
Xinhong Liu*, Jonathan Ouimet, Elvis Eugene, William Phillip, Alexander Dowling. Dynamic Modeling and Nonlinear Parameter Estimation of Nanofiltration Membranes. AIChE Virtual Spring Meeting, April 22, 2021.
Bridgette Befort*, Ryan DeFever, Garret Tow, Alexander Dowling, Edward Maginn. Machine-Learning Enabled Optimization of Force Fields. AIChE Virtual Spring Meeting, April 22, 2021.
Noah Wamble*, Elvis Eugene, William Phillip, Alexander Dowling. Elucidating Diafiltration Membrane Cascade Design Rules with Superstructure Optimization. AIChE Virtual Spring Meeting, April 21, 2021.
2020
Bridgette Befort*, Ryan DeFever, Alexander Dowling, Edward Maginn. Molecular Modeling to Aid the Separation of Azeotropic Mixtures of High Global Warming Potential Hydrofluorocarbon Refrigerants Using Ionic Liquids. AIChE Annual Meeting, November 16, 2020. [link]
Alejandro Garciadiego del Rio*, Bridgette Befort, Edward Maginn and Alexander W. Dowling, Process Design Under Uncertainty for Novel Separations of Azeotropic High Global Warming Potential Hydrofluorocarbon Refrigerants Using Ionic Liquids, AIChE Annual Meeting, November 17, 2020.
Jialu Wang*, Ryan Hughes, Debangsu Bhattacharyya, and Alexander W. Dowling. Design of Experiments and Uncertainty Quantification for adsorptive CO2 Capture Systems. AIChE Annual Meeting, November 20, 2020. Poster. [link]
Elvis A. Eugene*, Xian Gao, and Alexander W. Dowling. Bayesian Learning from Hybrid Models and Their Applications in Thermodynamics and Reaction Engineering. AIChE Annual Meeting, November 19, 2020. [link]
Xian Gao* and Alexander W. Dowling. Optimal Scheduling And Control Of Hybrid Energy Systems In Multiscale Electricity Markets. AIChE Annual Meeting, November 19, 2020. [link]
Elvis A. Eugene*, Xinhong Liu, William A. Phillip, and Alexander W. Dowling. Molecules to Systems Design of Advanced Membrane Materials and Technologies. AIChE Annual Meeting, November 18, 2020. [link]
Kanishka Ghosh* and Alexander W. Dowling. Reduced-Order Kinetic Models and Reactor Optimization for Modular Shale Gas Utilization. AIChE Annual Meeting, November 18, 2020. [link]
Xian Gao* and Alexander W. Dowling. Optimal Scheduling And Control Of Hybrid Energy Systems In Multiscale Electricity Markets. INFORMS Annual Meeting, Nov. 10, 2020.
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Integration of Molecular Simulations and Computer-Aided Design to Enable Novel Azeotropic Separations. American Institute of Chemical Engineers Midwest Regional Conference, Chicago, IL. March 11, 2020. Oral Presentation.
Kanishka Ghosh* and Alexander W. Dowling. Reduced-order Kinetic Models and Reactor Optimization for Oligomerization in CISTAR. American Institute of Chemical Engineers Midwest Regional Conference, Chicago, IL. March 11, 2020. Oral Presentation.
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Bridging the Gap: Multi-scale Research for Innovation. Indiana Science Communication Day 2020, Indianapolis, IN. March 2, 2020. Poster Presentation.
Xian Gao*, and Alexander W. Dowling. Statistical Forecasting and Stochastic Programming for Energy Market Participation. Conference on Data Analytics (CoDA) 2020, Santa Fe, NM, February 25, 2020. Poster Presentation.
Elvis A. Eugene*, Xinhong Liu, William A. Philip, and Alexander W. Dowling. Model Based Optimization and Bayesian Learning from Dynamic Membrane Characterization Experiments. Conference on Data Analytics (CoDA) 2020, Santa Fe, NM, February 25, 2020. Poster Presentation.
Bridgette Befort*, Alexander W. Dowling, and Edward J. Maginn. Integration of Molecular Simulations and Computer-Aided Design to Enable Novel Azeotropic Separations. Chemical Separations Gordon Research Conference, Galveston, TX. January 26-31, 2020. Poster Presentation.
2019
Alexander W. Dowling*. Rethinking Computing and Statistics Instruction with Vocareum and Gradescope. Sakai Lunch & Learn, University of Notre Dame, November 22, 2019. [slides]
Alejandro Garciadiego*, Tengfei Luo, and Alexander W. Dowling. Mathematical Optimization of Membrane-Free Desalination Systems That Utilize Low-Grade Heat. AIChE Annual Meeting, Orlando, FL, November 14, 2019. Oral Presentation. [link]
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Discovery of New Ionic Liquids Via Molecular Simulations for the Separation of Azeotropic Mixtures of High Global Warming Potential Hydrofluorocarbon Refrigerants. AIChE Annual Meeting, Orlando, FL, November 14, 2019. Oral Presentation. [link]
Xian Gao* and Alexander W. Dowling. Bayesian Statistical Learning and Stochastic Programming for Optimal Energy Market Participation. AIChE Annual Meeting, Orlando, FL, November 14, 2019. Oral Presentation. [link]
Elvis A. Eugene*, William A. Phillip and Alexander W. Dowling. Mathematical Optimization and Process Intensification of Diafiltration Membrane Systems. AIChE Annual Meeting, Orlando, FL, November 13, 2019. Oral Presentation. [link]
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Integration of Molecular Simulations and Computer-Aided Molecular Design to Enable Novel Azeotropic Separations. AIChE Annual Meeting, Orlando, FL, November 12, 2019. Poster. [link]
Kanishka Ghosh* and Alexander W. Dowling. Microkinetic Model Reduction for Ethylene Oligomerization Reactor Optimization and Design. AIChE Annual Meeting, Orlando, FL, November 12, 2019. Poster. [link]
Alexander W. Dowling*. Training All Chemical Engineers in Computing and Data Science. AIChE Annual Meeting, Orlando, FL, November 12, 2019. Oral Presentation. [slides]
Clay T. Elmore and Alexander W. Dowling*. Learning Spatiotemporal Dynamics in Wholesale Energy Markets with Dynamic Mode Decomposition. Foundations of Process Analytics and Machine learning (FOPAM) 2019, The StateView Hotel—Marriott Autograph Collection in Raleigh, NC, Aug 8, 2019. Poster.
Xian Gao* and Alexander W. Dowling. Bayesian Statistical Learning and Stochastic Programming for Optimal Energy Market Participation. Foundations of Process Analytics and Machine learning (FOPAM) 2019, The StateView Hotel—Marriott Autograph Collection in Raleigh, NC, Aug 7, 2019. Poster.
Alexander Dowling. Toward Integrating Python Throughout the Chemical Engineering Curricula: Using Google Colaboratory in the Classroom.Future of Cyber Assisted Chemical Engineering Education, Beaver Run Resort, Breckenridge, CO. CACHE 50TH 2019. July 19 - 20, 2019. Poster and Oral Presentation. [link]
Alejandro Garciadiego*, Tengfei Luo, and Alexander W. Dowling. Mathematical Modeling and Optimization of Directional Solvent Extraction for Sustainable Water Desalination. FOCAPD, Copper Mountain Resort, CO, July 14, 2019. Poster.
Elvis A. Eugene*, William A. Phillip and Alexander W. Dowling. Material Property Goals to Enable Continous Diafiltration Membrane Cascades for Lithium-Ion Battery Recycling. 9th International Conference on Computer-Aided Process Design (FOCAPD) 2019, Copper Mountain Resort, CO, July 14, 2019. Poster.
Bridgette Befort*, Edward J. Maginn, and Alexander W. Dowling. Process and Molecular Design Integration for the Separation of Hydrofluorocarbon Mixtures. FOCAPD, Copper Mountain Resort, CO, July 14, 2019. Poster.
Kanishka Ghosh* and Alexander W. Dowling. Microkinetic Model Reduction in Reactor Optimization for Oligomerization Reaction using CISTAR Technology. FOCAPD, Copper Mountain Resort, CO, July 14, 2019. Poster.
Bridgette Befort*, Alexander W. Dowling, and Edward J. Maginn. Discovery of New Ionic Liquids via Molecular Simulations for the Separation of Azeotropic Mixtures of High Global Warming Potential Hydrofluorocarbon Refrigerants. Midwest Thermodynamics and Statistical Mechanics Conference, Urbana, IL, June 2019. Poster.
Elvis A. Eugene*, William A. Phillip and Alexander W. Dowling. Optimizing Materials Discovery and Novel Membrane Systems: Mathematical Frameworks. AIChE Midwest Regional Conference, University of Illinois in Chicago, Chicago, IL, March 18, 2019.
Xian Gao*, Steven Atkinson and Alexander W. Dowling. How to Make Money in Dynamic Energy Markets: Uncertainty Modeling and Optimization Frameworks. AIChE Midwest Regional Conference, University of Illinois in Chicago, Chicago, IL, March 18, 2019.
Alejandro Garciadiego*, Tengfei Luo, and Alexander W. Dowling. Mathematical Optimization of Membrane-free Desalination Systems that Utilize Low-grade Heat. AIChE Midwest Regional Conference, University of Illinois in Chicago, Chicago, IL, March 18, 2019.
2018
Yushan Zhang*, Yong Zhang, Alexander W. Dowling, Mark J. McCready and Edward J. Maginn. Systematic Refinement of Gaff Force Field for Nineteen Organic Battery Electrolytes. AIChE Annual Meeting, Pittsburgh, PA, October 31, 2018. [link]
Alejandro Garciadiego, Tengfei Luo, and Alexander W. Dowling*. Mathematical Optimization of Sustainable Water Desalination Processes Using Directional Solvent Extraction. AIChE Annual Meeting, Pittsburgh, PA, October 31, 2018. [link]
Xian Gao, Steven Atkinson, and Alexander W. Dowling*. Uncertainty Quantification and Stochastic Programming Strategies for Energy Market Participation. AIChE Annual Meeting, Pittsburgh, PA, October 30, 2018. [link]
Elvis A. Eugene, William A. Phillip, and Alexander W. Dowling*. Material Property Targets for Nanostructured Adsorptive Membranes in Residential Water Purification Applications. AIChE Annual Meeting, Pittsburgh, PA, October 29, 2018. [link]
Alexander W. Dowling*. Exploiting Opportunities in Energy and Ancillary Markets: A Chemical Engineer’s Perspective. Sandia National Laboratories, Albuquerque, NM, October 8, 2018.
Alexander W. Dowling* and Bethany L. Nicholson. Uncovering New Opportunities from Frequency Regulation Markets with Dynamic Optimization and Pyomo.DAE. 13th International Symposium on Process Systems Engineering, San Diego, CA, July 3, 2018. [conference paper]
Alexander W. Dowling*, Steven Atkinson, and Xian Gao. Optimal Energy Storage Scheduling in Electricity Markets with Multiscale Uncertainty. SIAM Conference on Uncertainty Quantification, Garden Grove, CA. April 16, 2018.
Alexander W. Dowling*. Data-Driven Multiscale Optimization of Energy Systems. Center for Informatics and Computational Sciences, University of Notre Dame, Notre Dame, IN, February 5, 2018. [video] [slides]
Invited Presentations
Pyomo.DoE: An Open-Source Python Package for Model-based (Science-based) Design of Experiments. BASF Data Science Seminar. virtual, Feb. 2024.
Measure This, Not That: Pareto Optimal Trade-Offs between Model-Based Information Content and Measurements Cost. CAST Planery, AIChE Annual Meeting. Orlando, FL, Nov. 2023.
Pyomo.DoE: An Open-Source Python Package for Model-based (Science-based) Design of Experiments. Dow Chemical Company Data Science Seminar. virtual, Sept. 2023
Beyond Price Taker: Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity. Institution of Chemical Engineers (IChemE) Virtual Seminar Series. virtual, July 2023
Pyomo.DoE: Enabling model-based design of experiments in the Pyomo ecosystem. Symposium on Model Based Design of Experiments . Sargent Centre for Process Systems Engineering, Imperial College London, UK, June 2023.
Adaptively Optimizing Experiments: Past, Present, and Future. SIAM Conference on Optimization Mini-Symposium (Invited Presentation). Seattle, WA, May 2023.
Beyond Price Taker: Market-Based Technoeconomic Optimization of Integrated Energy Systems that Co-Produce Hydrogen and Electricity using Machine Leaning Surrogate Models. McMaster Advanced Control Consortium (MACC) Annual Meeting (Invited Presentation). McMaster University, Hamilton, ON (virtual), May 2023
Optimizing Manufacturing of Thermoelectrical Material using Machine Learning and Data Science. ND Energy Lunch Seminar Series. University of Notre Dame, Notre Dame, IN, Dec. 2022.
Faster Science-Based Data Analytics with Pyomo.DoE. Invited Presentation in AIChE Futures Session. AIChE Annual Meeting, Phoenix, AZ, Nov. 2022.
Book Chapters
[B2] Alexander W. Dowling, John P. Eason, Jinliang Ma, David C. Miller, and Lorenz T. Biegler. Equation-based Design, Integration and Optimization of Oxycombustion Power Systems (chapter). In: Alternative Energy Sources and Technologies: Process Design and Operation, ed. by Mariano M. Martin. Springer, p. 119 – 158. ISBN: 978-3-319-28750-8. [link] [preprint]
[B1] Yajun Wang, Alexander W. Dowling, Carlos Krieft, Andrea Walther, and Lorenz T. Biegler (2015). Pressure Swing Adsorption Optimization Strategies for CO2Capture (Chapter 8). In: Sustainability of Products, Processes and Supply Chains: Theory and Applications, ed. by Fengqi You. Elsevier, p. 197 – 223. ISBN: 9780444634726. [link] [preprint]
Conference Papers
[C20] Ke Wang, Mortaza Saeidi-Javash, Minxiang Zeng, Zeyu Liu, Yanliang Zhang, Tengfei Luo, Alexander W. Dowling. Gaussian Process Regression Machine Learning Models for Photonic Sintering (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 1819-1824 [file] [link]
[C19] Jialu Wang, Elvis A. Eugene, and Alexander W. Dowling. Scalable Stochastic Programming with Bayesian Hybrid Models (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 1309-1314 [file] [link]
[C18] Bridgette J. Befort, Ryan S. DeFever, Edward J. Maginn, Alexander W. Dowling. Machine Learning-Enabled Optimization of Force Fields for Hydrofluorocarbons (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 1249-1254 [file] [link]
[C17] Xinhong Liu, Riju De, Alexander Pérez, John R. Hoffman, William A. Phillip, Alexander W. Dowling. Mathematical Modelling of Reactive Inks for Additive Manufacturing of Charged Membranes (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 1063-1068 [file] [link]
[C16] Xinhong Liu, Jialu Wang, Jonathan A. Ouimet, William A. Phillip, Alexander W. Dowling. Membrane Characterization with Model-Based Design of Experiments (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 859-864 [file] [link]
[C15] Nicole Cortes, Xian Gao, Bernard Knueven, and Alexander W. Dowling. Estimating Energy Market Schedules using Historical Price Data (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 517-522 [file] [link]
[C14] Alejandro Garciadiego, Mozammel Mazumder, Bridgette J. Befort and Alexander W. Dowling. Modeling and Optimization of Ionic Liquid Enabled Extractive Distillation of Ternary Azeotrope Mixtures (2022). 14th International Symposium on Process Systems Engineering (PSE2021+). Ed. by Y. Yamashita, M. Kano. Computer Aided Chemical Engineering, 49, p. 307-312 [file] [link]
[C13] Elvis A. Eugene, Xian Gao, Alexander W. Dowling. Learning and Optimization with Bayesian Hybrid Models (2020). 2020 American Control Conference (ACC), Denver, CO, USA, 2020, p. 3997-4002. [link] [file]
[C12] Xian Gao and Alexander W. Dowling. Making Money in Energy Markets: Probabilistic Forecasting and Stochastic Programming Paradigms. 2020 American Control Conference (ACC), Denver, CO, USA, 2020, p. 168-173. [link] [video] [file]
[C11] Elvis A. Eugene, William A. Phillip, Alexander W. Dowling. Material Property Goals to Enable Continous Diafiltration Membrane Cascades for Lithium-Ion Battery Recycling. Proceedings of the 9th International Conference on Computer-Aided Process Design (FOCAPD) 2019, p. 469 - 474. [link] [file]
[C10] Alexander W. Dowling and Bethany L. Nicholson (2018). Uncovering New Opportunities from Frequency Regulation Markets with Dynamic Optimization and Pyomo.DAE. 13th International Symposium on Process Systems Engineering (PSE 2018). Ed. by Mario R. Eden, Marianthi G. Ierapetritou, Gavin P. Towler. Computer-Aided Chemical Engineering, 44, p. 2509 – 2514. [link] [file]
[C9] Alexander W. Dowling, Victor M. Zavala (2017). Redesigning Decision-Making Architectures to Exploit Multi-Scale Electricity Markets. FOCAPO/CPC 2017. [file]
[C8] Alexander W. Dowling, Victor M. Zavala (2017). Resolving Conflicts Among Stakeholders in Real-Time Operations. FOCAPO/CPC 2017. [file]
[C7] Alexander W. Dowling, Ana Dyreson, Franklin Miller, Victor M. Zavala (2017). Economic Assessment and Optimal Operation of CSP Systems with TES in California Electricity Markets. SolarPACES 2016, AIP Conference Proceedings 1850, p. 160006. [link]
[C6] Alexander W. Dowling and Lorenz T. Biegler (2015). Degeneracy Hunter: An Algorithm for Determining Irreducible Sets of Degenerate Constraints in Mathematical Programs. 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Ed. by Krist V. Gernaey, Jakob K. Huusom, and Raqul Gani. Computer-Aided Chemical Engineering, Vol. 37, p. 809 – 814. [link] [file]
[C5] Alexander W. Dowling, Cheshta Balwani, Qianwen Gao, and Lorenz T. Biegler (2014). Equation-oriented Optimization of Cryogenic Systems for Coal Oxycombustion Power Generation. 12th International Conference on Greenhouse Gas Control Technologies (GHGT-12). Energy Procedia, 63, p. 421 – 430. [link]
[C4] Alexander W. Dowling, John P. Eason, Jinliang Ma, David C. Miller, and Lorenz. T. Biegler (2014). Coal Oxycombustion Power Plant Optimization Using First Principles and Surrogate Boiler Models. 12th International Conference on Greenhouse Gas Control Technologies (GHGT-12). Energy Procedia, 63, p. 352-361. [link]
[C3] Alexander W. Dowling, Qianwen Gao, and Lorenz T. Biegler (2014). Equation-Oriented Optimization of Cryogenic Systems for Coal Oxycombustion Power Plants. Proceedings of the 8th International Conference on Foundations of Computer-Aided Process Design. Ed. by Mario Eden, John D. Siirola, and Gavin P. Towler. Computer-Aided Chemical Engineering, Vol. 34, p. 501 – 506. [link]
[C2] Alexander W. Dowling and Lorenz T. Biegler (2014). Rigorous Optimization-based Synthesis of Distillation Cascades without Integer Variables. 24th European Symposium on Computer Aided Process Engineering. Ed. by Jir J. Klemes, Petar S. Varbanov, and Peng Yen Liew. Computer-Aided Chemical Engineering, Vol. 33, p. 55 – 60. [link] [pdf]
[C1] Alexander W. Dowling and Lorenz T. Biegler (2013). Optimization-based Process Synthesis for Sustainable Power Generation. Chemical Engineering Transactions, Vol. 35., p. 1 – 12. [link]