| 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 | 131 | 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 | 122 | 2021 |
| Techno-economic assessment of optimised vacuum swing adsorption for post-combustion CO2 capture from steam-methane reformer flue gas SG Subraveti, S Roussanaly, R Anantharaman, L Riboldi, A Rajendran Separation and Purification Technology 256, 117832, 2021 | 88 | 2021 |
| Machine learning-based multiobjective optimization of pressure swing adsorption SG Subraveti, Z Li, V Prasad, A Rajendran Industrial & Engineering Chemistry Research 58 (44), 20412-20422, 2019 | 84 | 2019 |
| 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 | 80 | 2019 |
| How much can novel solid sorbents reduce the cost of post-combustion CO2 capture? A techno-economic investigation on the cost limits of pressure–vacuum swing adsorption SG Subraveti, S Roussanaly, R Anantharaman, L Riboldi, A Rajendran Applied Energy 306, 117955, 2022 | 53 | 2022 |
| 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 | 40 | 2020 |
| Physics-based neural networks for simulation and synthesis of cyclic adsorption processes SG Subraveti, Z Li, V Prasad, A Rajendran Industrial & Engineering Chemistry Research 61 (11), 4095-4113, 2022 | 21 | 2022 |
| Is Carbon Capture and Storage (CCS) Really So Expensive? An Analysis of Cascading Costs and CO2 Emissions Reduction of Industrial CCS Implementation on … SG Subraveti, E Rodríguez Angel, A Ramírez, S Roussanaly Environmental Science & Technology 57 (6), 2595-2601, 2023 | 16 | 2023 |
| Can a computer “learn” nonlinear chromatography?: Physics-based deep neural networks for simulation and optimization of chromatographic processes SG Subraveti, Z Li, V Prasad, A Rajendran Journal of Chromatography A 1672, 463037, 2022 | 10 | 2022 |
| Computational fluid dynamics study of viscous fingering in supercritical fluid chromatography SG Subraveti, P Nikrityuk, A Rajendran Journal of Chromatography A 1534, 150-160, 2018 | 8 | 2018 |
| 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 |
| Can a Computer “Learn” Nonlinear Chromatography?: Experimental Validation of Physics-Based Deep Neural Networks for the Simulation of Chromatographic Processes SG Subraveti, Z Li, V Prasad, A Rajendran Industrial & Engineering Chemistry Research 62 (14), 5929-5944, 2023 | 4 | 2023 |
| Machine learning-based design and techno-economic assessments of adsorption processes for CO2 capture SG Subraveti | 2 | 2021 |
| Is CCS really so expensive? An analysis of cascading costs and CO2 emissions reduction of industrial CCS implementation applied to a bridge SG Subraveti, E Rodriguez, A Ramirez, S Roussanaly SSRN, 2022 | 1 | 2022 |
| Adsorption and Chromatographic Processes: Modeling and Optimization SG Subraveti | 1 | 2017 |
| How to accurately fast-track sorbent selection for post-combustion CO2 capture? A comparative assessment of data-driven and simplified physical models for screening sorbents SG Subraveti, L Riboldi, HY Xu, Y Jooss, S Roussanaly, LE Andersson, ... Computer Aided Chemical Engineering 52, 3013-3018, 2023 | | 2023 |
| Is Carbon Capture and Storage (CCS) Really So Expensive? SG Subraveti, ER Angel, A Ramirez Petroleum Exploration Society of Australia (PESA), 2023 | | 2023 |
| Techno-economic assessment of the hybrid adsorption-membrane concept for post-combustion CO2 capture from industry flue gases R M Montañés, L Riboldi, S Roussanaly, JA Oassou, SG Subraveti, ... 16th Greenhouse Gas Control Technologies Conference, 2022 | | 2022 |
| The potential of adsorption-based CO2 capture to reduce the cost of low-carbon hydrogen production BM Balasubramaniam, SG Subraveti, R Anantharaman, A Rajendran, ... Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT …, 2022 | | 2022 |
Arvind RajendranProfessor of Chemical Engineering, University of AlbertaVerified email at ualberta.ca
