34 citations · 66 across the 4 of their papers we have counts for
4 papers
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…
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.…
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…
Uncertain Loading and Quantifying Maximum Energy Concentration within Composite Structures
Robert Lipton, Paul Sinz, Michael Stuebner
We introduce a systematic method for identifying the worst case load among all boundary loads of fixed energy. Here the worst case load is defined to be the one that delivers the l…