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Publications
Proceedings
2023 AIChE Annual Meeting
Meet the Candidates Poster Sessions
Meet the Industry Candidates Poster Session: Computing And Systems Technology Division
2023 AIChE Annual Meeting
Session: Meet the Industry Candidates Poster Session: Computing And Systems Technology Division
Co-Chairs
Kim, S. H.
, Dow
Zanfir, M.
, Linde
Baratsas, S.
, ExxonMobil
Presentations
01:00 PM
(147a) Influence of Mass Transfer for the Transient Response of Ultra-Microelectrodes to Potential and Current Transients
Ezeh, C.
,
Chuai, Y.
,
Otto, K.
,
Orazem, M. E.
(147c) Molecular Models to Predict the Influence of Templating Molecules on the Structure and Organization of Zeolites
Gao, X.
(147ae) Data-Driven Process Monitoring and Control for Smart Manufacturing
Yerimah, L.
,
Bequette, B. W.
(147d) Accelerating Digitalization Via Advanced Optimization, Machine Learning, and Simulation Techniques
Cheng, P.
(147af) Molecular Modeling and Machine Learning-Based Design and Discovery of Nanoporous Material for Energy and Environmental Applications
Mukherjee, K.
(147e) Machine Learning Scientist, Especially for Chemicals, Materials, Multi-Omics, Health, and Environment.
Verma, P.
(147ag) Analysis and Optimal Design of Membrane Processes for Flue Gas CO2 Capture
Li, Q.
(147f) Quantifying Synergy for Mixtures of End-Scission and Random Scission Catalysts in Polymer Upcycling
Chen, Z.
,
Peters, B.
(147g) Development of Algorithms for Identification of Sparse Dynamic Models with Mass and Energy Conservation from Noisy Data
Adeyemo, S.
(147ah) Machine Learning Enabled Development of Accurate Force Fields for Refrigerants
Carlozo, M.
,
Wang, N.
,
Marin Rimoldi, E.
,
Befort, B.
,
Dowling, A.
,
Maginn, E.
(147i) Advances in Next Generation Cyber-Physical Systems: Cybersecurity, Quantum Computing, and Smart Material Design
Kasturi Rangan, K.
,
Durand, H.
(147j) Bridging Thermal and Electrochemical Catalysis: Rational Catalyst Design at Atomic Scales through Physical and Machine-Learning Based Insights
Deo, S.
(147ai) Measure This, Not That: Pareto Optimal Trade-Offs between Model-Based Information Content and Measurements Budget
Dowling, A.
,
Wang, J.
(147k) Machine Learning-Based Prediction of Thermal Conductivity in Metal-Organic Frameworks
Islamov, M.
(147aj) Effective Control of High Temperature Steam Electrolyzer Modules That Use Variable, Renewable Electricity
Immonen, J.
,
Powell, K.
(147l) Modeling Kerogen Flexibility upon Gas Adsorption Using Osmotic Ensemble Simulations
Parashar, S.
,
Ravikovitch, P.
,
Neimark, A.
(147ak) Understanding Chromatographic Retention and Fluid Phase/Sorption Equilibria By Molecular Simulations and Thermodynamic Modeling
Chang, C. K.
(147m) Control Advances for Dynamic Cyber-Physical Systems Incorporating Structural Simulation Methods and Quantum Computation
Nieman, K.
,
Durand, H.
(147n) Hybrid Grey-Box Modeling and Estimation for Condition Monitoring of Complex Dynamics Energy Systems
Saini, V.
(147r) Techniques to Assist the Human-in-the-Loop in Type-1 Diabetes and Smart Manufacturing
Sontakke, M.
,
Bequette, B. W.
(147o) A Novel Framework for Design of Net-Zero Chemical Systems: Analysis and Results
Sen, A.
,
Thakker, V.
,
Stephanopoulos, G.
,
Bakshi, B.
(147s) Data Analytics Enabled High Throughput Material Discovery and Computational Analyses for Membrane Innovations
Liu, X.
(147p) State Estimation and Cost Optimal Sensor Network Design for Electrochemical Sensor Based Corrosion Monitoring
Somayajula, C. S.
(147t) Computational Exploration of Single Atom Catalysts Supported on Metal Oxides for Sustainable Hydrogenation Reactions
Hu, J.
(147q) Optimization-Based Strategies for Decarbonization of Energy Systems
Cao, K.
(147u) Optimization-Based Strategies for Spectral Analysis and Kinetic Modeling
Krumpolc, T.
,
Trahan, D. W.
,
Chen, X.
,
Biegler, L. T.
(147am) Simulation, Optimization, and Machine Learning Methods for Sustainable Process and Supply Chain Design
Luo, Y.
,
Ierapetritou, M.
(147ad) Path-Sampling and Machine Learning for Rare Un-postulated Abnormal Events
Sudarshan, V.
(147v) Enhancing Feature Engineering and Machine Learning through Systems Engineering for Improved Diagnosis: Case Studies in Speech Disorder and Autism Spectrum Disorder
He, Q. P.
,
Yousefi Zowj, F.
(147w) Rational Design of Low-Dimensional Catalysts Using First Principles Methods for CO2 Reduction to C1 Products
Rekhi, L.
,
Choksi, T.
(147x) Evaluating Impacts of Carbon Taxes on the Economic Viability and Carbon Footprint of Plastic Production Pathways
Wang, B. X.
,
Zavala, V. M.
(147y) Development of Mathematical Programming Models for the Synthesis of Reactor Networks
Pastore De Lima, A. E.
(147z) Harnessing Molecular Simulations and Machine Learning to Predict Macromolecular Properties and Drive Efficient Polymer Recycling
Ley Flores, M.
,
de Pablo, J. J.
(147aa) Nonconvex Optimization Problems Involving the Euclidean Distance
Sahinidis, N.
,
Kuznetsov, A.
(147ab) Tuning Strategy for a Multi-Objective Model Predictive Control for Cost and Emissions Optimization of Heat Pump Water Heaters
dela Rosa, L.
,
Mande, C.
,
Ellis, M.
(147ac) Empowering Molecular Simulations with Machine Learning to Understand and Engineer Molecular Systems
Dasetty, S.