Standout Papers

Recent advances and applications of deep learning methods in materials science 2021 2026 2022 2024544
  1. Recent advances and applications of deep learning methods in materials science (2022)
    Kamal Choudhary, Brian DeCost et al. npj Computational Materials
  2. Atomistic Line Graph Neural Network for improved materials property predictions (2021)
    Kamal Choudhary, Brian DeCost npj Computational Materials

Immediate Impact

19 from Science/Nature 77 standout
Sub-graph 1 of 23

Citing Papers

Reinforcing self-assembly of hole transport molecules for stable inverted perovskite solar cells
2024 StandoutScience
Structured information extraction from scientific text with large language models
2024 Standout
1 intermediate paper

Works of Brian DeCost being referenced

Recent advances and applications of deep learning methods in materials science
2022 Standout
Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
2019

Author Peers

Author Last Decade Papers Cites
Brian DeCost 1704 319 518 463 44 2.5k
Hugh Cartwright 2140 682 399 650 45 3.7k
Prasanna V. Balachandran 3014 448 651 949 73 4.0k
Yue Liu 1186 193 513 650 27 2.0k
Daniel W. Davies 2441 662 353 774 48 3.6k
Jonathan Schmidt 1880 311 318 669 33 2.9k
Kamal Choudhary 2810 445 389 759 98 3.6k
Jason Hattrick‐Simpers 1856 210 689 483 97 2.7k
Logan Ward 3304 756 867 820 62 4.3k
Wei‐keng Liao 922 279 332 194 89 2.2k
Rohit Batra 2989 749 449 1203 53 4.3k

All Works

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Rankless by CCL
2026