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The Journal of Chemical Physics
|
June 1, 2022
Comparing machine learning techniques for predicting glassy dynamics
Rinske M Alkemade, Emanuele Boattini, Laura Filion, et al.
Science Advances
|
January 19, 2022
Inverse design of soft materials via a deep learning-based evolutionary strategy
Gabriele M Coli, Emanuele Boattini, Laura Filion, et al.
Physical Review Letters
|
March 28, 2025
Defects Enhance Stability in 12-fold Symmetric Soft-Matter Quasicrystals
Alptuğ Ulugöl, Robert J Hardeman, Frank Smallenburg, et al.
The Journal of Chemical Physics
|
March 23, 2026
Determining fluid-crystal phase boundaries for a binary hard-sphere mixture using direct-coexistence simulations
Rinske M Alkemade, Alessandro Salo, Laura Filion, et al.
The Journal of Chemical Physics
|
November 7, 2021
Machine learning many-body potentials for colloidal systems
Gerardo Campos-Villalobos, Emanuele Boattini, Laura Filion, et al.
The Journal of Chemical Physics
|
June 18, 2025
Machine learning short-ranged many-body interactions in colloidal systems using descriptors based on Voronoi cells
Rinske M Alkemade, Rastko Sknepnek, Frank Smallenburg, et al.
The Journal of Chemical Physics
|
October 24, 2014
Phase behaviour of polarizable colloidal hard rods in an external electric field: a simulation study
Thomas Troppenz, Laura Filion, René van Roij, et al.
Soft Matter
|
April 9, 2020
High antisite defect concentrations in hard-sphere colloidal Laves phases
Berend van der Meer, Frank Smallenburg, Marjolein Dijkstra, et al.
The Journal of Chemical Physics
|
July 12, 2012
A parameter-free, solid-angle based, nearest-neighbor algorithm
Jacobus A van Meel, Laura Filion, Chantal Valeriani, et al.
The Journal of Chemical Physics
|
December 24, 2017
Diffusion and interactions of interstitials in hard-sphere interstitial solid solutions
Berend van der Meer, Emma Lathouwers, Frank Smallenburg, et al.
Page
of 6
Search research articles
Search
Showing results (21-30 of 54) with videos related to
Sort By:
Page
of 6
The Journal of Chemical Physics
|
June 1, 2022
Comparing machine learning techniques for predicting glassy dynamics
Rinske M Alkemade, Emanuele Boattini, Laura Filion, et al.
Science Advances
|
January 19, 2022
Inverse design of soft materials via a deep learning-based evolutionary strategy
Gabriele M Coli, Emanuele Boattini, Laura Filion, et al.
Physical Review Letters
|
March 28, 2025
Defects Enhance Stability in 12-fold Symmetric Soft-Matter Quasicrystals
Alptuğ Ulugöl, Robert J Hardeman, Frank Smallenburg, et al.
The Journal of Chemical Physics
|
March 23, 2026
Determining fluid-crystal phase boundaries for a binary hard-sphere mixture using direct-coexistence simulations
Rinske M Alkemade, Alessandro Salo, Laura Filion, et al.
The Journal of Chemical Physics
|
November 7, 2021
Machine learning many-body potentials for colloidal systems
Gerardo Campos-Villalobos, Emanuele Boattini, Laura Filion, et al.
The Journal of Chemical Physics
|
June 18, 2025
Machine learning short-ranged many-body interactions in colloidal systems using descriptors based on Voronoi cells
Rinske M Alkemade, Rastko Sknepnek, Frank Smallenburg, et al.
The Journal of Chemical Physics
|
October 24, 2014
Phase behaviour of polarizable colloidal hard rods in an external electric field: a simulation study
Thomas Troppenz, Laura Filion, René van Roij, et al.
Soft Matter
|
April 9, 2020
High antisite defect concentrations in hard-sphere colloidal Laves phases
Berend van der Meer, Frank Smallenburg, Marjolein Dijkstra, et al.
The Journal of Chemical Physics
|
July 12, 2012
A parameter-free, solid-angle based, nearest-neighbor algorithm
Jacobus A van Meel, Laura Filion, Chantal Valeriani, et al.
The Journal of Chemical Physics
|
December 24, 2017
Diffusion and interactions of interstitials in hard-sphere interstitial solid solutions
Berend van der Meer, Emma Lathouwers, Frank Smallenburg, et al.
Page
of 6