| Mechanism discovery and model identification using genetic feature extraction and statistical testing A Chakraborty, A Sivaram, L Samavedham, V Venkatasubramanian Computers & Chemical Engineering 140, 106900, 2020 | 21 | 2020 |
| AI-DARWIN: A first principles-based model discovery engine using machine learning A Chakraborty, A Sivaram, V Venkatasubramanian Computers & Chemical Engineering 154, 107470, 2021 | 20 | 2021 |
| Role of Thermodynamics and Membrane Separation in Water-Energy Nexus A Mukherjee, S Lanjewar, R Kumar, A Chakraborty, A Abdelrasoul, A Roy Modeling and Simulation for the Design of Membrane Processes 1, 2020 | 7 | 2020 |
| Technoeconomic and environmental optimization of combined heat and power systems with renewable integration for chemical plants Z Liu, A Chakraborty, T He, IA Karimi Applied Thermal Engineering, 119474, 2023 | 6 | 2023 |
| Seasonal Variations in River Water Properties and Their Impact on Mixing Energies and Pressure Retarded Osmosis A Chakraborty, A Roy Environmental Engineering Science 35 (10), 12, 2018 | 5 | 2018 |
| Hybrid AI Models in Chemical Engineering–A Purpose-driven Perspective A Chakraborty, S Serneels, H Claussen, V Venkatasubramanian Computer Aided Chemical Engineering 51, 1507-1512, 2022 | 4 | 2022 |
| Identifying first-principles models for bubble column aeration using machine learning P Jul-Rasmussen, A Chakraborty, V Venkatasubramanian, X Liang, ... Computer Aided Chemical Engineering 52, 1089-1094, 2023 | 3 | 2023 |
| Hybrid AI modeling techniques for pilot scale bubble column aeration: A comparative study P Jul-Rasmussen, A Chakraborty, V Venkatasubramanian, X Liang, ... Computers & Chemical Engineering 185, 108655, 2024 | 2 | 2024 |
| Water–energy nexus for estuarine systems with seasonal salinity variations: a thermodynamic feasibility analysis of reverse osmosis (RO)–pressure retarded osmosis (PRO … A Chakraborty, A Roy Water Supply 20 (6), 2415-2427, 2020 | 2 | 2020 |
| 3D Printing in Biomedical Applications R Kumar, A Chakraborty, A Mukherjee, P Dadhich, A Roy Chemical Engineering World 53, 40-44, 2018 | 2 | 2018 |
| Modelling of fugitive emissions released due to handling of iron ore cargo at the port S Manjare, A Chakraborty International Journal of Environmental Science and Technology, 2022 | 1 | 2022 |
| Discovering zeolite adsorption isotherms: a hybrid AI modeling approach A Chakraborty, A Gandhi, MMF Hasan, V Venkatasubramanian Computer Aided Chemical Engineering 53, 511-516, 2024 | | 2024 |
| Evolutionary Optimization of the Reduced Gas-phase Isoprene Oxidation Mechanism A Chakraborty, F Wiser, S Sen, VF McNeill, V Venkatasubramanian | | 2024 |
| Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models V Venkatasubramanian, A Chakraborty arXiv preprint arXiv:2405.19561, 2024 | | 2024 |
| Automated Mechanism-Based Explanation Generation of Machine Learning Models A Chakraborty, V Venkatasubramanian 2023 AIChE Annual Meeting, 2023 | | 2023 |
| A Data Reconciliation Methodology for Reduced Order Modeling of Process Systems A Chakraborty, H Marathe, V Venkatasubramanian 2022 AIChE Annual Meeting, 2022 | | 2022 |
| A Framework for the Statistical Value of Extreme Points for Function Approximation A Chakraborty, K Kumaran, V Venkatasubramanian 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Discovering First-Principles-Based Models Using Machine Learning for Physicochemical Systems A Chakraborty, V Venkatasubramanian 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Discovering Interpretable Models from Data Using Machine Learning: Application to Nonlinear Parametric Models A Chakraborty, A Sivaram, V Venkatasubramanian 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Mechanism Discovery and Model Identification Using Genetic Feature Extraction and Statistical Testing A Sivaram, A Chakraborty, L Samavedham, V Venkatasubramanian 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
Venkat VenkatasubramanianSamuel Ruben-Peter G. Viele Professor of Engineering, Columbia UniversityVerified email at columbia.edu
