212 citations · 1.3k across the 41 of their papers we have counts for
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Machine learning many-body potentials for colloidal systems
Gerardo Campos-Villalobos, Emanuele Boattini, Laura Filion +1
Simulations of colloidal suspensions consisting of mesoscopic particles and smaller species such as ions or depletants are computationally challenging as different length and time…
Inverse design of soft materials via a deep-learning-based evolutionary strategy
Gabriele Maria Coli, Emanuele Boattini, Laura Filion +1
Colloidal self-assembly -- the spontaneous organization of colloids into ordered structures -- has been considered key to produce next-generation materials. However, the present-da…
Averaging local structure to predict the dynamic propensity in supercooled liquids
Emanuele Boattini, Frank Smallenburg, Laura Filion
Predicting the local dynamics of supercooled liquids based purely on local structure is a key challenge in our quest for understanding glassy materials. Recent years have seen an e…
Defects in Crystals of Soft Colloidal Particles
Marjolein de Jager, Joris de Jong, Laura Filion
In this paper we use computer simulations to examine point defects in systems of "soft" colloidal particles including Hertzian spheres, and star polymers. We use Monte Carlo simula…
Point Defects in Crystals of Charged Colloids
Rinske M. Alkemade, Marjolein de Jager, Berend van der Meer +2
Charged colloidal particles - both on the nano and micron scales - have been instrumental in enhancing our understanding of both atomic and colloidal crystals. These systems can be…