output
20022025
most citedRestoring the density-gradient expansion for exchange in solids and surfaces

12k citations

Showing 2020Show all

123 papers · 1 filter

cond-mat.quant-gas20207 cited

Bose-Einstein condensates in an atom-optomechanical system with effective global non-uniform interaction

Jia-Ming Cheng, Zheng-Wei Zhou, Guang-Can Guo +2

We consider a hybrid atom-optomechanical system consisting of a mechanical membrane inside an optical cavity and an atomic Bose-Einstein condensate outside the cavity. The condensa…

astro-ph.HE20201 cited

The Mysterious Magnetospheres of Magnetars

Matthew G. Baring, Zorawar Wadiasingh, Peter L. Gonthier +2

Magnetars are the most luminous compact objects in the stellar mass range observed in the Milky Way, with giant flares of hard X-ray power ~10^45 erg/sec being detected from three…

nucl-ex202027 cited

Measurements of and cross sections and their ratios in collisions at RHIC

STAR Collaboration, J. Adam, L. Adamczyk +356

We report on the and differential and total cross sections as well as the / and / cross-section ratios measured by the STAR experiment a…

q-bio.OT20201 cited

Neuromatch Academy: Teaching Computational Neuroscience with global accessibility

Tara van Viegen, Athena Akrami, Kate Bonnen +32

Neuromatch Academy designed and ran a fully online 3-week Computational Neuroscience summer school for 1757 students with 191 teaching assistants working in virtual inverted (or fl…

cs.CR2020

The Design and Implementation of a Verified File System with End-to-End Data Integrity

Daniel W. Song, Konstantinos Mamouras, Ang Chen +2

Despite significant research and engineering efforts, many of today's important computer systems suffer from bugs. To increase the reliability of software systems, recent work has…

physics.flu-dyn202064 cited

Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning

Adam Subel, Ashesh Chattopadhyay, Yifei Guan +1

Developing data-driven subgrid-scale (SGS) models for large eddy simulations (LES) has received substantial attention recently. Despite some success, particularly in a priori (offl…