15 citations · 20 across the 2 of their papers we have counts for
3 papers
physics.comp-ph2020★ 15 cited
Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties
Paul Sinz, Michael W. Swift, Xavier Brumwell +4
The dream of machine learning in materials science is for a model to learn the underlying physics of an atomic system, allowing it to move beyond interpolation of the training set…
math.NA2019
Multiscale-Spectral GFEM and Optimal Oversampling
Ivo Babuska, Robert Lipton, Paul Sinz +1
In this work we address the Multiscale Spectral Generalized Finite Element Method (MS-GFEM) developed in [I. Babuška and R. Lipton, Multiscale Modeling and Simulation 9 (2011), pp.…
physics.comp-ph2019★ 5 cited
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction
Xavier Brumwell, Paul Sinz, Kwang Jin Kim +2
A general machine learning architecture is introduced that uses wavelet scattering coefficients of an inputted three dimensional signal as features. Solid harmonic wavelet scatteri…