Standout Papers

Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices 2020 2026 2022 2024291
  1. Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices (2020)
    Anthony Wang, Ryan Murdock et al. Chemistry of Materials

Immediate Impact

2 from Science/Nature 61 standout
Sub-graph 1 of 23

Citing Papers

A strong-yet-ductile high-entropy alloy in a broad temperature range from cryogenic to elevated temperatures
2024 Standout
Self-Driving Laboratories for Chemistry and Materials Science
2024 Standout
4 intermediate papers

Works of Ryan Murdock being referenced

Compositionally restricted attention-based network for materials property predictions
2021
Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices
2020 Standout

Author Peers

Author Last Decade Papers Cites
Ryan Murdock 110 442 1 105 8 610
Nicholas Wagner 30 342 140 8 635
Jake Graser 67 414 190 7 573
G. Lambard 132 349 1 115 16 551
Akshay Iyer 100 230 1 82 18 516
Travis Williams 55 451 89 9 673
Baekjun Kim 71 488 50 7 641
Kyle Bystrom 122 599 166 6 694
Eric Gossett 130 572 116 6 680
Doogon Kim 32 61 7 132 10 573
Hermann Tribukait 90 439 215 6 673

All Works

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Rankless by CCL
2026