Standout Papers

Machine learning–enabled high-entropy alloy discovery 2022 2026 2023 2024397
  1. Machine learning–enabled high-entropy alloy discovery (2022)
    Ziyuan Rao, Po‐Yen Tung et al. Science

Immediate Impact

1 from Science/Nature 53 standout
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Citing Papers

Investigation on the wear performance of CoCrNi matrix self-lubricating composites at cryogenic temperature
2025 Standout
Coupling different strengthening mechanisms with transformation-induced plasticity (TRIP) effect in advanced high-entropy alloys: A comprehensive review
2025 Standout
8 intermediate papers

Works of Prithiv Thoudden Sukumar being referenced

Modeling and simulation of dynamic recrystallization in super austenitic stainless steel employing combined cellular automaton, artificial neural network and finite element method
2021
A critical evaluation on efficacy of recrystallization vs. strain induced boundary migration in achieving grain boundary engineered microstructure in a Ni-base superalloy
2018
and 3 more

Author Peers

Author Last Decade Papers Cites
Prithiv Thoudden Sukumar 534 445 196 19 774
Po‐Yen Tung 398 335 127 18 652
V. Vignal 327 428 139 22 660
Heike Hattendorf 507 554 190 37 888
Sharvan Kumar 546 465 274 24 777
G. Y. Lai 537 366 202 28 683
Zhongyin Zhu 460 251 141 23 650
Majid Abbasi 786 344 102 25 922
R. E. A. Williams 625 524 140 22 965
Bin Ma 410 357 95 38 793
Yu Han 640 216 110 31 784

All Works

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2026