Standout Papers

ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition 2018 2026 2020 2023 302
  1. ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition (2018)
    Dipendra Jha, Logan Ward et al. Scientific Reports

Immediate Impact

10 from Science/Nature 71 standout
Sub-graph 1 of 22

Citing Papers

4D Printing: A Comprehensive Review of Technologies, Materials, Stimuli, Design, and Emerging Applications
2025 Standout
Self-Driving Laboratories for Chemistry and Materials Science
2024 Standout
5 intermediate papers

Works of Arindam Paul being referenced

Microstructure optimization with constrained design objectives using machine learning-based feedback-aware data-generation
2019
ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition
2018 Standout

Author Peers

Author Last Decade Papers Cites
Arindam Paul 356 202 113 14 593
Ruoqian Liu 473 167 46 7 685
Surya R. Kalidindi 331 254 105 35 597
Akshay Iyer 230 161 97 18 516
G. Lambard 349 106 27 16 551
Ryan Cohn 344 113 20 6 616
Jing Chen 215 331 133 24 655
Xiaobo Ji 331 121 36 31 673
Sambit Das 175 321 206 21 584
Ryan Murdock 442 80 26 8 610
Xinyu Gao 217 312 25 23 729

All Works

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Rankless by CCL
2026