Autonomously revealing hidden local structures in supercooled liquids E Boattini, S Marín-Aguilar, S Mitra, G Foffi, F Smallenburg, L Filion Nature Communications 11, 2020 | 110 | 2020 |
Unsupervised learning for local structure detection in colloidal systems E Boattini, M Dijkstra, L Filion The Journal of chemical physics 151 (15), 2019 | 92 | 2019 |
Averaging local structure to predict the dynamic propensity in supercooled liquids E Boattini, F Smallenburg, L Filion Physical Review Letters 127 (8), 088007, 2021 | 55 | 2021 |
Inverse design of soft materials via a deep learning–based evolutionary strategy GM Coli, E Boattini, L Filion, M Dijkstra Science advances 8 (3), eabj6731, 2022 | 44 | 2022 |
Neural-network-based order parameters for classification of binary hard-sphere crystal structures E Boattini, M Ram, F Smallenburg, L Filion Molecular Physics 116 (21-22), 3066-3075, 2018 | 39 | 2018 |
Comparing machine learning techniques for predicting glassy dynamics RM Alkemade, E Boattini, L Filion, F Smallenburg The Journal of Chemical Physics 156 (20), 2022 | 28 | 2022 |
Machine learning many-body potentials for colloidal systems G Campos-Villalobos, E Boattini, L Filion, M Dijkstra The Journal of Chemical Physics 155 (17), 2021 | 26 | 2021 |
Modeling of many-body interactions between elastic spheres through symmetry functions E Boattini, N Bezem, SN Punnathanam, F Smallenburg, L Filion The Journal of Chemical Physics 153 (6), 064902, 2020 | 13 | 2020 |
Dynamics of supercooled liquids from static averaged quantities using machine learning S Ciarella, M Chiappini, E Boattini, M Dijkstra, LMC Janssen Machine Learning: Science and Technology 4 (2), 025010, 2023 | 9 | 2023 |
Modeling of effective interactions between ligand coated nanoparticles through symmetry functions D Chintha, SK Veesam, E Boattini, L Filion, SN Punnathanam The Journal of Chemical Physics 155 (24), 2021 | 4 | 2021 |
Artificial intelligence meets soft matter: Machine learning applications for the study of colloidal self-assembly E Boattini Utrecht University, 2021 | | 2021 |
Supplementary Information Averaging local structure to predict the dynamic propensity in supercooled liquids E Boattini, F Smallenburg, L Filion | | |