activity
20032026
most citedAFLOW: An automatic framework for high-throughput materials discovery

1.6k citations · 7.9k across the 92 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020

Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation

Nick Lawrence, Mingren Shen, Ruiqi Yin +2

The use of accurate scanning transmission electron microscopy (STEM) image simulation methods require large computation times that can make their use infeasible for the simulation…

physics.app-ph2020★ 30 cited

Impact of Nonuniform Thermionic Emission on the Transition Behavior between Temperature- and Space-Charge-Limited Emission

Dongzheng Chen, Ryan Jacobs, Dane Morgan +1

Experimental observations have long-established that there exists a smooth roll-off or knee transition between the temperature-limited (TL) and full-space-charge-limited (FSCL) emi…

cond-mat.mtrl-sci2020★ 487 cited

Opportunities and Challenges for Machine Learning in Materials Science

Dane Morgan, Ryan Jacobs

Advances in machine learning have impacted myriad areas of materials science, ranging from the discovery of novel materials to the improvement of molecular simulations, with likely…

cond-mat.mtrl-sci2020★ 8 cited

Semi-adsorption-controlled growth window for half Heusler FeVSb epitaxial films

Estiaque H. Shourov, Ryan Jacobs, Wyatt A. Behn +8

The electronic, magnetic, thermoelectric, and topological properties of Heusler compounds (composition or ) are highly sensitive to stoichiometry and defects. Here we…

physics.comp-ph2020★ 27 cited

Assessing Graph-based Deep Learning Models for Predicting Flash Point

Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz +8

Flash points of organic molecules play an important role in preventing flammability hazards and large databases of measured values exist, although millions of compounds remain unme…