| 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 | 174 | 2021 |
| 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 | 173 | 2020 |
| 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 | 125 | 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 | 104 | 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 | 94 | 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 | 72 | 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 | 58 | 2020 |
| 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 | 46 | 2023 |
| 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 | 34 | 2022 |
| 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 | 19 | 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 | 14 | 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 | 9 | 2023 |
| 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 |
| System optimization of hybrid processes for CO2 capture L Riboldi, SG Subraveti, RM Montañés, D Kim, S Roussanaly, ... Computer Aided Chemical Engineering 53, 1375-1380, 2024 | 3 | 2024 |
| 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 |
| Methane enrichment from dilute sources: Performance limits and implications for methane removal and abatement SG Subraveti, R Anantharaman | | 2025 |
| Process performance limits of three-step vacuum temperature swing adsorption for methane enrichment from dilute sources SG Subraveti, R Anantharaman | | 2025 |
| Hybrid Concepts as Enabling Options for CO2 Capture: an Extensive Mapping of Techno-Economic Potential L Riboldi, R M Montañés, SG Subraveti, D Kim, S Roussanaly, ... Sai Gokul and Kim, Donghoi and Roussanaly, Simon and Anantharaman, Rahul …, 2024 | | 2024 |
Arvind RajendranProfessor of Chemical Engineering, University of Albertaualberta.ca üzerinde doğrulanmış e-posta adresine sahip