arXiv Physics @arxiv_physics@qoto.org

Quantum approximate algorithm for NP optimization problems with constraints. (arXiv:2002.00943v1 [quant-ph]) http://arxiv.org/abs/2002.00943

Multiphysics metamirrors for simultaneous manipulations of acoustic and electromagnetic waves. (arXiv:2002.00989v1 [physics.optics]) http://arxiv.org/abs/2002.00989

Multilayer $^{10}B$-RPC neutron imaging detector. (arXiv:2002.00991v1 [physics.ins-det]) http://arxiv.org/abs/2002.00991

New approach for FIB-preparation of atom probe specimens for aluminum alloys. (arXiv:2002.00992v1 [cond-mat.mtrl-sci]) http://arxiv.org/abs/2002.00992

In-situ calibration of the single-photoelectron charge response of the IceCube photomultiplier tubes. (arXiv:2002.00997v1 [physics.ins-det]) http://arxiv.org/abs/2002.00997

Silicate Melting and Vaporization during Rocky Planet Formation. (arXiv:2002.00998v1 [astro-ph.EP]) http://arxiv.org/abs/2002.00998

Fast-freezing kinetics inside a droplet impacting on a cold surface. (arXiv:2002.01002v1 [cond-mat.soft]) http://arxiv.org/abs/2002.01002

Dissecting the statistical properties of the Linear Extrapolation Method of determining protein stability. (arXiv:2002.01018v1 [stat.ME]) http://arxiv.org/abs/2002.01018

PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations. (arXiv:2002.01029v1 [physics.comp-ph]) http://arxiv.org/abs/2002.01029

Deep Learning for Highly Accelerated Diffusion Tensor Imaging. (arXiv:2002.01031v1 [eess.IV]) http://arxiv.org/abs/2002.01031

Temperature dependence of spin pinning and spin-wave dispersion in nanoscopic ferromagnetic waveguides. (arXiv:2002.00003v1 [physics.app-ph]) http://arxiv.org/abs/2002.00003

High-efficiency calculation of elastic constants enhanced by the optimized strain-matrix sets. (arXiv:2002.00005v1 [cond-mat.mtrl-sci]) http://arxiv.org/abs/2002.00005

A large deviation principle linking lineage statistics to fitness in microbial populations. (arXiv:2002.00019v1 [q-bio.PE]) http://arxiv.org/abs/2002.00019

Embedding Hard Physical Constraints in Neural Network Coarse-Graining of 3D Turbulence. (arXiv:2002.00021v1 [physics.comp-ph]) http://arxiv.org/abs/2002.00021

Model for the electrical conductivity in dense plasma mixtures. (arXiv:2002.00039v1 [physics.plasm-ph]) http://arxiv.org/abs/2002.00039

Open IT tools for inquiry-based physics education. (arXiv:2002.00045v1 [physics.ed-ph]) http://arxiv.org/abs/2002.00045

Observation of Collisions between Two Ultracold Ground-State CaF Molecules. (arXiv:2002.00048v1 [physics.atom-ph]) http://arxiv.org/abs/2002.00048

Studying Lagrangian theories with machine learning: a toy model. (arXiv:2002.00049v1 [physics.comp-ph]) http://arxiv.org/abs/2002.00049

Exact solution for the Anisotropic Ornstein-Uhlenbeck Process. (arXiv:2002.00051v1 [physics.bio-ph]) http://arxiv.org/abs/2002.00051

Implementing a neural network interatomic model with performance portability for emerging exascale architectures. (arXiv:2002.00054v1 [physics.comp-ph]) http://arxiv.org/abs/2002.00054