| DigiMOF: a database of metal–organic framework synthesis information generated via text mining LT Glasby, K Gubsch, R Bence, R Oktavian, K Isoko, SM Moosavi, ... Chemistry of Materials 35 (11), 4510-4524, 2023 | 41* | 2023 |
| Computational techniques for characterisation of electrically conductive MOFs: quantum calculations and machine learning approaches F Zanca, LT Glasby, S Chong, S Chen, J Kim, D Fairen-Jimenez, ... Journal of Materials Chemistry C 9 (39), 13584-13599, 2021 | 30 | 2021 |
| Gas adsorption and framework flexibility of CALF-20 explored via experiments and simulations R Oktavian, R Goeminne, LT Glasby, P Song, R Huynh, OT Qazvini, ... Nature Communications 15 (1), 3898, 2024 | 24 | 2024 |
| Computational characterization of Zr-oxide MOFs for adsorption applications R Oktavian, R Schireman, LT Glasby, G Huang, F Zanca, ... ACS Applied Materials & Interfaces 14 (51), 56938-56947, 2022 | 18 | 2022 |
| Hydrogen storage in MOFs: Machine learning for finding a needle in a haystack LT Glasby, PZ Moghadam Patterns 2 (7), 2021 | 11 | 2021 |
| Topological characterization of metal–organic frameworks: a perspective LT Glasby, JL Cordiner, JC Cole, PZ Moghadam Chemistry of Materials 36 (19), 9013-9030, 2024 | 7 | 2024 |
| Augmented Reality for Enhanced Visualization of MOF Adsorbents LT Glasby, R Oktavian, K Zhu, JL Cordiner, JC Cole, PZ Moghadam Journal of Chemical Information and Modeling 63 (19), 5950-5955, 2023 | 3 | 2023 |
| Machine Learning and Digital Manufacturing Approaches for Solid‐State Materials Development LT Glasby, EH Whaites, PZ Moghadam AI‐Guided Design and Property Prediction for Zeolites and Nanoporous …, 2023 | 3 | 2023 |
| Topological Characterisation of Metal-Organic Frameworks in the Cambridge Structural Database LT Glasby University of Sheffield, 2024 | | 2024 |
Peyman Z. MoghadamAssociate Professor, University College Londonucl.ac.uk의 이메일 확인됨
