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Emanuele Boattini
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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
972020
Unsupervised learning for local structure detection in colloidal systems
E Boattini, M Dijkstra, L Filion
The Journal of chemical physics 151 (15), 2019
792019
Averaging local structure to predict the dynamic propensity in supercooled liquids
E Boattini, F Smallenburg, L Filion
Physical Review Letters 127 (8), 088007, 2021
442021
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
372018
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
342022
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
252021
Comparing machine learning techniques for predicting glassy dynamics
RM Alkemade, E Boattini, L Filion, F Smallenburg
The Journal of Chemical Physics 156 (20), 2022
212022
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
122020
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
82023
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
42021
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
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Articles 1–12