| Artificial intelligence in reaction prediction and chemical synthesis V Venkatasubramanian, V Mann Current Opinion in Chemical Engineering 36, 100749, 2022 | 51 | 2022 |
| Predicting chemical reaction outcomes: A grammar ontology‐based transformer framework V Mann, V Venkatasubramanian AIChE Journal 67 (3), e17190, 2021 | 41 | 2021 |
| Retrosynthesis prediction using grammar-based neural machine translation: An information-theoretic approach V Mann, V Venkatasubramanian Computers & Chemical Engineering 155, 107533, 2021 | 31 | 2021 |
| Group contribution-based property modeling for chemical product design: A perspective in the AI era V Mann, R Gani, V Venkatasubramanian Fluid Phase Equilibria 568, 113734, 2023 | 19 | 2023 |
| Hybrid, interpretable machine learning for thermodynamic property estimation using grammar2vec for molecular representation V Mann, K Brito, R Gani, V Venkatasubramanian Fluid Phase Equilibria 561, 113531, 2022 | 16 | 2022 |
| AI-driven hypergraph network of organic chemistry: network statistics and applications in reaction classification V Mann, V Venkatasubramanian Reaction Chemistry & Engineering 8 (3), 619-635, 2023 | 9 | 2023 |
| Robust and efficient swarm communication topologies for hostile environments V Mann, A Sivaram, L Das, V Venkatasubramanian Swarm and Evolutionary Computation 62, 100848, 2021 | 9 | 2021 |
| Optimal filtering and residual analysis in errors-in-variables model identification V Mann, D Maurya, AK Tangirala, S Narasimhan Industrial & Engineering Chemistry Research 59 (5), 1953-1965, 2020 | 9 | 2020 |
| Intelligent process flowsheet synthesis and design using extended SFILES representation V Mann, R Gani, V Venkatasubramanian Computer Aided Chemical Engineering 52, 221-226, 2023 | 5 | 2023 |
| SUSIE: Pharmaceutical CMC ontology-based information extraction for drug development using machine learning V Mann, S Viswanath, S Vaidyaraman, J Balakrishnan, ... Computers & Chemical Engineering 179, 108446, 2023 | 4 | 2023 |
| eSFILES: Intelligent process flowsheet synthesis using process knowledge, symbolic AI, and machine learning V Mann, M Sales-Cruz, R Gani, V Venkatasubramanian Computers & Chemical Engineering 181, 108505, 2024 | 3 | 2024 |
| G‐MATT: Single‐step retrosynthesis prediction using molecular grammar tree transformer K Zhang, V Mann, V Venkatasubramanian AIChE Journal 70 (1), e18244, 2024 | 2 | 2024 |
| A formal grammar-based machine learning approach for predicting reaction outcomes V Mann, V Venkatasubramanian 2020 Virtual AIChE Annual Meeting, 2020 | 2 | 2020 |
| Superstructure Optimization Using the Extended Sfiles Representation of Flowsheets Combining Domain Knowledge, Machine Learning, and Symbolic AI G Chen, V Mann, R Gani, V Venkatasubramanian 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Contrastive Learning to Improve Pharmaceutical Knowledge Graph Quality in Machine Learning A Kadiresan, NP Taskiran, A Chakraborty, V Mann, ... 2024 AIChE Annual Meeting, 2024 | | 2024 |
| A Knowledge-Graph-Based Pharmaceutical Engineering Chatbot for Drug Discovery NP Taskiran, CE Tsai, A Chakraborty, V Mann, V Venkatasubramanian 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Accelerating Drug Discovery through the Automatic Population of a Pharmaceutical Ontology Using Knowledge Graphs NP Taskiran, A Chakraborty, V Mann, V Venkatasubramanian 2024 AIChE Annual Meeting, 2024 | | 2024 |
| 10A: Process Design for a Net Zero Carbon Economy I AI Torres, H Durand, V Mann, A Chakraborty 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Hybrid Artificial Intelligence-based Process Flowsheet Synthesis and Design using Extended SFILES Representation V Mann, M Sales-Cruz, R Gani, V Venkatasubramanian Computer Aided Chemical Engineering 53, 1279-1284, 2024 | | 2024 |
| Domain-informed Language Models for Process Systems Engineering V Mann Columbia University, 2024 | | 2024 |
Venkat VenkatasubramanianSamuel Ruben-Peter G. Viele Professor of Engineering, Columbia University在 columbia.edu 的电子邮件经过验证
