Standout Papers

Recent advances and applications of deep learning methods in materials science 2022 2026 2023 2024544
  1. Recent advances and applications of deep learning methods in materials science (2022)
    Kamal Choudhary, Brian DeCost et al. npj Computational Materials

Immediate Impact

1 by Nobel laureates 1 from Science/Nature 39 standout
Sub-graph 1 of 19

Citing Papers

Bamboo fiber-derived carbon support for the immobilization of Pt nanoparticles to enhance hydrogen evolution reaction
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2 intermediate papers

Works of Ryan Cohn being referenced

Recent advances and applications of deep learning methods in materials science
2022 Standout

Author Peers

Author Last Decade Papers Cites
Ryan Cohn 344 32 113 96 6 616
Ruoqian Liu 473 22 167 98 7 685
Arindam Paul 356 16 202 70 14 593
G. Lambard 349 8 106 115 16 551
Ke Wang 291 16 104 94 35 545
Alok Choudhary 332 21 55 67 25 653
Daylond Hooper 370 8 87 102 11 540
Eric Gossett 572 6 104 116 6 680
Michał Walczak 94 29 55 62 17 708
Yuanyuan Li 101 13 170 85 22 718
Rongzhi Dong 355 9 192 110 22 715

All Works

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2026