522 citations · 1.7k across the 18 of their papers we have counts for
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cond-mat.mtrl-sci2017★ 322 cited
Symmetry-Adapted Machine-Learning for Tensorial Properties of Atomistic Systems
Andrea Grisafi, David M. Wilkins, Gábor Csányi +1
Statistical learning methods show great promise in providing an accurate prediction of materials and molecular properties, while minimizing the need for computationally demanding e…
physics.chem-ph2017★ 45 cited
Solvent Fluctuations and Nuclear Quantum Effects Modulate the Molecular Hyperpolarizability of Water
Chungwen Liang, Gabriele Tocci, David Wilkins +3
Second-Harmonic Scatteringh (SHS) experiments provide a unique approach to probe non-centrosymmetric environments in aqueous media, from bulk solutions to interfaces, living cells…