C&EN

Machine Learning Interatomic Potentials for Reactive Hydrogen Dynamics at Metal Surfaces Based on Iterative Refinement of Reaction Probabilities

Department of Chemistry, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, U.K. Department of Chemistry, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, U.K. Department of Physics, ...
C&EN

Band Alignment of Oxides by Learnable Structural-Descriptor-Aided Neural Network and Transfer Learning

Laboratory for Materials and Structures, Institute of Innovative Research, Tokyo Institute of Technology, R3-7, 4259 Nagatsuta, Midori-ku, Yokohama 226-8501, Japan Institute for Materials Research, ...
IEEE

Min Norm Point Algorithm for Higher Order MRF-MAP Inference

Abstract: Many tasks in computer vision and machine learning can be modelled as the inference problems in an MRF-MAP formulation and can be reduced to minimizing a submodular function. Using higher ...
GitHub

skin.scad

This file provides functions and modules that construct shapes from a list of cross sections. In the case of skin() you specify each cross sectional shape yourself, and the number of points can vary.
GitHub

deep_backward_stochastic_differential_equation_method.py

# dY_t = -f(t, Y_t, Z_t) dt + Z_t dW_t , Y_T = g(X_T) # using a neural network to approximate the terminal value Y_0 and the driver Z_t.