18 citations · 28 across the 3 of their papers we have counts for
6 papers
Modeling of effective interactions between ligand coated nanoparticles through symmetry functions
Dinesh Chintha, Shivanand Kumar Veesam, Emanuele Boattini +2
Ligand coated nanoparticles are complex objects consisting of a metallic or semiconductor core with organic ligands grafted on their surface. These organic ligands provide stabilit…
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…
Modeling of many-body interactions between elastic spheres through symmetry functions
Emanuele Boattini, Nina Bezem, Sudeep N. Punnathanam +2
Simple models for spherical particles with a soft shell have been shown to self-assemble into numerous crystal phases and even quasicrystals. However, most of these models rely on…
Autonomously revealing hidden local structures in supercooled liquids
Emanuele Boattini, Susana Marín-Aguilar, Saheli Mitra +3
Few questions in condensed matter science have proven as difficult to unravel as the interplay between structure and dynamics in supercooled liquids and glasses. The conundrum: clo…
Unsupervised learning for local structure detection in colloidal systems
Emanuele Boattini, Marjolein Dijkstra, Laura Filion
We introduce a simple, fast, and easy to implement unsupervised learning algorithm for detecting different local environments on a single-particle level in colloidal systems. In th…