Machine learning based data-driven discovery of nonlinear phase-field
  dynamics
On a Helmholtz transmission problem in planar domains with corners
The itinerant ferromagnetic phase of the Hubbard model Study of Joint MMSE Consensus and Relay Selection Algorithms for
  Distributed Beamforming A Diffractive Neural Network with Weight-Noise-Injection Training Avalanches on the Complex Network of Rigan Earthquake, Virtual
  Seismometer Technique, Criticality and Seismic Cycle Maximal determinants and saturated D-optimal designs of orders 19 and 37 Injectivity, multiple zeros, and multistationarity in reaction networks Learning Reasoning Strategies in End-to-End Differentiable Proving Clustered Geometries Exploiting Quantum Coherence Effects for Efficient
  Energy Transfer in Light Harvesting Beltrami fields exhibit knots and chaos almost surely Thermodynamics of exotic matter with constant w=P/E MOMDIS: a Glauber model computer code for knockout reactions Universal discriminative quantum neural networks Molecular dynamics simulation of the capillary leveling of a
  glass-forming liquid Time-lagged autoencoders: Deep learning of slow collective variables for
  molecular kinetics The interacting 2D Bose gas and nonlinear Gibbs measures Controlled-rearing studies of newborn chicks and deep neural networks STE-QUEST - Test of the Universality of Free Fall Using Cold Atom
  Interferometry Gelfand spectra and Wallman compactifications Distance matrices, random metrics and Urysohn space PT Symmetry in Classical and Quantum Statistical Mechanics
physics.comp-ph