| Evolution of electronic circuits using carbon nanotube composites MK Massey, A Kotsialos, D Volpati, E Vissol-Gaudin, C Pearson, L Bowen, ... Scientific reports 6 (1), 1-7, 2016 | 22 | 2016 |
| An object-oriented framework to enable workflow evolution across materials acceleration platforms CJ Leong, KYA Low, J Recatala-Gomez, PQ Velasco, E Vissol-Gaudin, ... Matter 5 (10), 3124-3134, 2022 | 10 | 2022 |
| Computing based on material training: Application to binary classification problems E Vissol-Gaudin, A Kotsialos, C Groves, C Pearson, DA Zeze, MC Petty 2017 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2017 | 8 | 2017 |
| Data classification using carbon-nanotubes and evolutionary algorithms E Vissol-Gaudin, A Kotsialos, MK Massey, DA Zeze, C Pearson, C Groves, ... Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 8 | 2016 |
| Training a carbon-nanotube/liquid crystal data classifier using evolutionary algorithms E Vissol-Gaudin, A Kotsialos, MK Massey, DA Zeze, C Pearson, C Groves, ... Unconventional Computation and Natural Computation: 15th International …, 2016 | 7 | 2016 |
| Mapping pareto fronts for efficient multi-objective materials discovery A Low, YF Lim, K Hippalgaonkar, E Vissol-Gaudin Authorea Preprints, 2022 | 6 | 2022 |
| Solving binary classification problems with carbon nanotube/liquid crystal composites and evolutionary algorithms E Vissol-Gaudin, A Kotsialos, MK Massey, C Groves, C Pearson, DA Zeze, ... 2017 IEEE Congress on Evolutionary Computation (CEC), 1924-1931, 2017 | 6 | 2017 |
| Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules E Vissol-Gaudin, C Pearson, C Groves, DA Zeze, HF Cantiello, ... Scientific Reports 11 (1), 10776, 2021 | 5 | 2021 |
| Constructing custom thermodynamics using deep learning X Chen, BW Soh, ZE Ooi, E Vissol-Gaudin, H Yu, KS Novoselov, ... Nature Computational Science 4 (1), 66-85, 2024 | 3 | 2024 |
| Confidence measures for carbon-nanotube/liquid crystals classifiers E Vissol-Gaudin, A Kotsialos, C Groves, C Pearson, DA Zeze, MC Petty, ... 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 3 | 2018 |
| Bayesian vs Evolutionary Optimisation in Exploring Pareto Fronts for Materials Discovery KYA Low, E Vissol-Gaudin, YF Lim, K Hippalgaonkar Authorea Preprints, 2023 | 2 | 2023 |
| Automated electrokinetic stretcher for manipulating nanomaterials BW Soh, ZE Ooi, E Vissol-Gaudin, CJ Leong, K Hippalgaonkar Lab on a Chip 23 (16), 3716-3726, 2023 | 2 | 2023 |
| Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs AKY Low, F Mekki-Berrada, A Ostudin, J Xie, E Vissol-Gaudin, YF Lim, ... | 1 | 2023 |
| Towards intelligently designed evolvable processors BAH Jones, JLP Chouard, BCC Branco, EGB Vissol-Gaudin, C Pearson, ... Evolutionary Computation 30 (4), 479-501, 2022 | 1 | 2022 |
| Evolutionary computation based on nanocomposite training: application to data classification E VISSOL-GAUDIN, B GABRIELLE Durham University, 2020 | 1 | 2020 |
| Unconventional computation and natural computation E Vissol-Gaudin, A Kotsialos, MK Massey, DA Zeze, C Pearson, C Groves, ... | 1 | 2016 |
| Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs K Hippalgaonkar, A Low, F Mekki-Berrada, A Gupta, A Ostudin, J Xie, ... | | 2023 |
| Optimising Ferroelectric Thin Films with Evolutionary Computation E Vissol-Gaudin, YF Lim, K Hippalgaonkar Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | | 2023 |
| Using carbon-nanotube classifiers to diagnose diseases E Vissol-Gaudin Tuesday, May 8, 44, 0 | | |
