Standout Papers

A general-purpose machine learning framework for predicting properties of inorganic materials 2016 2026 2019 2022 1.1k
  1. A general-purpose machine learning framework for predicting properties of inorganic materials (2016)
    Logan Ward, Ankit Agrawal et al. npj Computational Materials
  2. Matminer: An open source toolkit for materials data mining (2018)
    Logan Ward, Alexander Dunn et al. Computational Materials Science
  3. Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments (2018)
    Fang Ren, Logan Ward et al. Science Advances
  4. ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition (2018)
    Dipendra Jha, Logan Ward et al. Scientific Reports

Immediate Impact

2 by Nobel laureates 41 from Science/Nature 68 standout
Sub-graph 1 of 21

Citing Papers

Large recoverable elastic energy in chiral metamaterials via twist buckling
2025 StandoutNature
Machine Learning in Polymer Research
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1 intermediate paper

Works of Logan Ward being referenced

A general-purpose machine learning framework for predicting properties of inorganic materials
2016 Standout

Author Peers

Author Last Decade Papers Cites
Logan Ward 3304 756 867 820 62 4.3k
Rohit Batra 2989 749 449 1203 53 4.3k
Chiho Kim 2962 849 547 1180 63 4.3k
Daniel W. Davies 2441 662 353 774 48 3.6k
Taylor D. Sparks 2859 384 472 1062 105 3.7k
Bryce Meredig 5102 735 987 1386 40 6.2k
Alexander V. Shapeev 4804 601 838 1115 95 5.7k
Ghanshyam Pilania 4574 879 747 1554 100 6.0k
Yunxing Zuo 1924 413 554 961 23 2.9k
Joshua Schrier 2657 361 627 1243 86 4.5k
Prasanna V. Balachandran 3014 448 651 949 73 4.0k

All Works

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2026