Machine Learning of Two-Dimensional Spectroscopic Data
The Stirred Tank Reactor Polymer Electrolyte Membrane Fuel Cell
Entanglement Entropy and Mutual Information Production Rates in Acoustic
  Black Holes Predicting Sequences of Traversed Nodes in Graphs using Network Models
  with Multiple Higher Orders Emergence of disconnected clusters in heterogeneous complex systems Modular extensions of unitary braided fusion categories and 2+1D
  topological/SPT orders with symmetries A Perron theorem for matrices with negative entries and applications to
  Coxeter groups Visualization and Optimization Techniques for High Dimensional Parameter
  Spaces Phase Reduction Method for Strongly Perturbed Limit Cycle Oscillators Electrostatic contribution to colloidal solvation in terms of the
  self-energy modified Boltzmann distribution Spacetime Duality and Superduality Areas on the space of smooth probability density functions on $S^2$ The Jordan property for Lie groups and automorphism groups of complex
  spaces Generative Modeling for Atmospheric Convection A machine learning route between band mapping and band structure Control of transversal instabilities in reaction-diffusion systems Semidefinite Programming and Nash Equilibria in Bimatrix Games Predicting missing links via correlation between nodes Dielectric response effects in attosecond time-resolved streaked
  photoelectron spectra of metal surfaces Geometric ergodicity of the Random Walk Metropolis with
  position-dependent proposal covariance Accurate Sampling with Noisy Forces from Approximate Computing Can Machine Learning Model with Static Features be Fooled: an
  Adversarial Machine Learning Approach
physics.chem-ph