| Hydrophilic microporous membranes for selective ion separation and flow-battery energy storage R Tan, A Wang, R Malpass-Evans, R Williams, EW Zhao, T Liu, C Ye, ... Nature materials 19 (2), 195-202, 2020 | 258 | 2020 |
| Maximising the hydrogen evolution activity in organic photocatalysts by co-polymerisation RS Sprick, CM Aitchison, E Berardo, L Turcani, L Wilbraham, BM Alston, ... Journal of Materials Chemistry A 6 (25), 11994-12003, 2018 | 99 | 2018 |
| High-throughput screening approach for the optoelectronic properties of conjugated polymers L Wilbraham, E Berardo, L Turcani, KE Jelfs, MA Zwijnenburg Journal of chemical information and modeling 58 (12), 2450-2459, 2018 | 67 | 2018 |
| stk: A python toolkit for supramolecular assembly L Turcani, E Berardo, KE Jelfs Journal of computational chemistry 39 (23), 1931-1942, 2018 | 61 | 2018 |
| Machine learning for organic cage property prediction L Turcani, RL Greenaway, KE Jelfs Chemistry of Materials 31 (3), 714-727, 2018 | 56 | 2018 |
| An evolutionary algorithm for the discovery of porous organic cages E Berardo, L Turcani, M Miklitz, KE Jelfs Chemical Science 9 (45), 8513-8527, 2018 | 48 | 2018 |
| Computationally-inspired discovery of an unsymmetrical porous organic cage E Berardo, RL Greenaway, L Turcani, BM Alston, MJ Bennison, M Miklitz, ... Nanoscale 10 (47), 22381-22388, 2018 | 35 | 2018 |
| stk: An extendable Python framework for automated molecular and supramolecular structure assembly and discovery L Turcani, A Tarzia, FT Szczypiński, KE Jelfs The Journal of Chemical Physics 154 (21), 2021 | 27 | 2021 |
| Materials precursor score: Modeling chemists’ intuition for the synthetic accessibility of porous organic cage precursors S Bennett, FT Szczypinski, L Turcani, ME Briggs, RL Greenaway, KE Jelfs Journal of Chemical Information and Modeling 61 (9), 4342-4356, 2021 | 19 | 2021 |
| Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks C Fare, L Turcani, EO Pyzer-Knapp Physical Chemistry Chemical Physics 22 (23), 13041-13048, 2020 | 17 | 2020 |
| Computational discovery of molecular C60 encapsulants with an evolutionary algorithm M Miklitz, L Turcani, RL Greenaway, KE Jelfs Communications Chemistry 3 (1), 10, 2020 | 12 | 2020 |
| Streamlining the automated discovery of porous organic cages AR Basford, SK Bennett, M Xiao, L Turcani, J Allen, KE Jelfs, ... Chemical Science, 2024 | | 2024 |
| Computational workflow for steric assessment using the electric field-derived size AM Mroz, L Turcani, KE Jelfs Electronic Structure 5 (4), 045004, 2023 | | 2023 |
| Materials Precursor Score: Modelling Chemists' Intuition for the Synthetic Accessibility of Porous Organic Cage Precursors S Bennett, F Szczypiński, L Turcani, M Briggs, RL Greenaway, K Jelfs | | 2021 |
| Hydrophilic microporous membranes for selective ion separation and flow-battery energy storage (December, 10.1038/S41563-019-0536-8, 2019) R Tan, A Wang, R Malpass-Evans, R Williams, EW Zhao, T Liu, C Ye, ... NATURE MATERIALS 19 (2), 251-251, 2020 | | 2020 |
| Artificial intelligence for porous organic cages L Turcani Imperial College London, 2020 | | 2020 |
| Supporting Information Computationally-Inspired Discovery of an Unsymmetrical Porous Organic Cage E Berardo, RL Greenaway, L Turcani, BM Alston, MJ Bennison, M Miklitz, ... | | |
