| Prediction of MOF Performance in Vacuum Swing Adsorption Systems for Postcombustion CO2 Capture Based on Integrated Molecular Simulations, Process … TD Burns, KN Pai, SG Subraveti, SP Collins, M Krykunov, A Rajendran, ... Environmental science & technology 54 (7), 4536-4544, 2020 | 133 | 2020 |
| Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)–a state-of-the-art review Y Yan, TN Borhani, SG Subraveti, KN Pai, V Prasad, A Rajendran, ... Energy & Environmental Science 14 (12), 6122-6157, 2021 | 123 | 2021 |
| Cycle design and optimization of pressure swing adsorption cycles for pre-combustion CO2 capture SG Subraveti, KN Pai, AK Rajagopalan, NS Wilkins, A Rajendran, ... Applied energy 254, 113624, 2019 | 81 | 2019 |
| Evaluation of diamine-appended metal-organic frameworks for post-combustion CO2 capture by vacuum swing adsorption KN Pai, JD Baboolal, DA Sharp, A Rajendran Separation and Purification Technology 211, 540-550, 2019 | 56 | 2019 |
| Experimentally validated machine learning frameworks for accelerated prediction of cyclic steady state and optimization of pressure swing adsorption processes KN Pai, V Prasad, A Rajendran Separation and Purification Technology 241, 116651, 2020 | 49 | 2020 |
| Generalized, adsorbent-agnostic, artificial neural network framework for rapid simulation, optimization, and adsorbent screening of adsorption processes KN Pai, V Prasad, A Rajendran Industrial & Engineering Chemistry Research 59 (38), 16730-16740, 2020 | 44 | 2020 |
| Improving the performance of vacuum swing adsorption based CO2 capture under reduced recovery requirements RT Maruyama, KN Pai, SG Subraveti, A Rajendran International Journal of Greenhouse Gas Control 93, 102902, 2020 | 42 | 2020 |
| Practically Achievable Process Performance Limits for Pressure-Vacuum Swing Adsorption-Based Postcombustion CO2 Capture KN Pai, V Prasad, A Rajendran ACS Sustainable Chemistry & Engineering 9 (10), 3838-3849, 2021 | 36 | 2021 |
| Single-and dual-stage high-purity oxygen production using silver-exchanged titanosilicates (Ag-ETS-10) SA Hosseinzadeh Hejazi, L Estupiñan Perez, KN Pai, A Rajendran, ... Industrial & Engineering Chemistry Research 57 (27), 8997-9008, 2018 | 14 | 2018 |
| Experimental validation of an adsorbent-agnostic artificial neural network (ANN) framework for the design and optimization of cyclic adsorption processes KN Pai, TTT Nguyen, V Prasad, A Rajendran Separation and Purification Technology 290, 120783, 2022 | 11 | 2022 |
| Optimization of pressure‐vacuum swing adsorption processes for nitrogen rejection from natural gas streams using a nitrogen selective metal organic framework NS Wilkins, KN Pai, A Rajendran The Canadian Journal of Chemical Engineering 100 (9), 2374-2393, 2022 | 9 | 2022 |
| How Can (or Why Should) Process Engineering Aid the Screening and Discovery of Solid Sorbents for CO2 Capture? A Rajendran, SG Subraveti, KN Pai, V Prasad, Z Li Accounts of Chemical Research 56 (17), 2354-2365, 2023 | 5 | 2023 |
| A study on pressure vacuum swing adsorption based process design for carbon dioxide capture KN Pai | 1 | 2017 |
| Superstructure model for the simultaneous design and optimization of the PVSA process cycle KN Pai, R Haghpanah, W Edsall | | 2024 |
| Integrated CFD-Adsorption Model for Predictive Analysis of Pressure Drop in Structured Adsorbent Contactors J Rovinelli, KN Pai, V Parmar, B Rosendall, S Rezaei, A Liu, P Hovington 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Practically Achievable Process Limits for a Temperature Swing Adsorption Process for CO2 Capture from Ngcc Flue Gas Y Bharath, KN Pai, PT Thierry, S Lethier, P Llewellyn, C Pereira, V Pugnet, ... 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Superstructure Optimization of Pressure Vacuum Swing Adsorption Processes KN Pai, R Haghpanah, W Edsall 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Experimental Validation of an Adsorbent Agnostic Machine-Assisted Adsorption Process Learning and Emulation (MAPLE) Framework KN Pai, T Nguyen, V Prasad, A Rajendran 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Unified Machine learning based design of adsorption separation processes KN Pai | | 2021 |
| Practically Achievable Process Performance Limits for Pressure-Vacuum Swing Adsorption-Based Postcombustion CO₂ Capture KN Pai, V Prasad, A Rajendran | | 2021 |
Arvind RajendranProfessor of Chemical Engineering, University of Alberta在 ualberta.ca 的電子郵件地址已通過驗證
