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Emanuele Boattini

Showing results (1-10 of 8) with videos related to

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Physical Review Letters|September 3, 2021
Averaging Local Structure to Predict the Dynamic Propensity in Supercooled LiquidsEmanuele Boattini, Frank Smallenburg, Laura Filion
The Journal of Chemical Physics|October 24, 2019
Unsupervised learning for local structure detection in colloidal systemsEmanuele Boattini, Marjolein Dijkstra, Laura Filion
The Journal of Chemical Physics|November 7, 2021
Machine learning many-body potentials for colloidal systemsGerardo Campos-Villalobos, Emanuele Boattini, Laura Filion, et al.
Science Advances|January 19, 2022
Inverse design of soft materials via a deep learning-based evolutionary strategyGabriele M Coli, Emanuele Boattini, Laura Filion, et al.
The Journal of Chemical Physics|June 1, 2022
Comparing machine learning techniques for predicting glassy dynamicsRinske M Alkemade, Emanuele Boattini, Laura Filion, et al.
The Journal of Chemical Physics|March 15, 2022
Modeling of many-body interactions between elastic spheres through symmetry functionsEmanuele Boattini, Nina Bezem, Sudeep N Punnathanam, et al.
The Journal of Chemical Physics|January 1, 2022
Modeling of effective interactions between ligand coated nanoparticles through symmetry functionsDinesh Chintha, Shivanand Kumar Veesam, Emanuele Boattini, et al.
Nature Communications|October 31, 2020
Autonomously revealing hidden local structures in supercooled liquidsEmanuele Boattini, Susana Marín-Aguilar, Saheli Mitra, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Physical Review Letters|September 3, 2021
Averaging Local Structure to Predict the Dynamic Propensity in Supercooled LiquidsEmanuele Boattini, Frank Smallenburg, Laura Filion
The Journal of Chemical Physics|October 24, 2019
Unsupervised learning for local structure detection in colloidal systemsEmanuele Boattini, Marjolein Dijkstra, Laura Filion
The Journal of Chemical Physics|November 7, 2021
Machine learning many-body potentials for colloidal systemsGerardo Campos-Villalobos, Emanuele Boattini, Laura Filion, et al.
Science Advances|January 19, 2022
Inverse design of soft materials via a deep learning-based evolutionary strategyGabriele M Coli, Emanuele Boattini, Laura Filion, et al.
The Journal of Chemical Physics|June 1, 2022
Comparing machine learning techniques for predicting glassy dynamicsRinske M Alkemade, Emanuele Boattini, Laura Filion, et al.
The Journal of Chemical Physics|March 15, 2022
Modeling of many-body interactions between elastic spheres through symmetry functionsEmanuele Boattini, Nina Bezem, Sudeep N Punnathanam, et al.
The Journal of Chemical Physics|January 1, 2022
Modeling of effective interactions between ligand coated nanoparticles through symmetry functionsDinesh Chintha, Shivanand Kumar Veesam, Emanuele Boattini, et al.
Nature Communications|October 31, 2020
Autonomously revealing hidden local structures in supercooled liquidsEmanuele Boattini, Susana Marín-Aguilar, Saheli Mitra, et al.
Pageof 1