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Brian L. DeCost

34 papers hereh-index 224.4k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author26
  • last author5

Across the 34 of 34 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci28
  • cs.LG2
  • cs.CV1
  • physics.app-ph1
  • physics.data-an1
  • physics.ins-det1
same name
  • Brian L. DeCost — 3 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedRecent Advances and Applications of Deep Learning Methods in Materials Science

1.2k citations · 4.5k across the 34 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cond-mat.mtrl-sci2020★ 538 cited

The Joint Automated Repository for Various Integrated Simulations (JARVIS) for data-driven materials design

Kamal Choudhary, Kevin F. Garrity, Andrew C. E. Reid +25

The Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated infrastructure to accelerate materials discovery and design using density functional the…

cond-mat.mtrl-sci2020★ 549 cited

On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

A. Gilad Kusne, Heshan Yu, Changming Wu +13

Active learning - the field of machine learning (ML) dedicated to optimal experiment design, has played a part in science as far back as the 18th century when Laplace used it to gu…

cond-mat.mtrl-sci2020

Scientific AI in materials science: a path to a sustainable and scalable paradigm

Brian DeCost, Jason Hattrick-Simpers, Zachary Trautt +3

Recently there has been an ever-increasing trend in the use of machine learning (ML) and artificial intelligence (AI) methods by the materials science, condensed matter physics, an…

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