Saswat Mishra
Engineering · Purdue University West Lafayette
Publications
28
Citations
374
Est. group size
~6
Recurring co-author estimate
Active years
49
Publishing since 1977
Saswat Mishra works on computational and data-driven materials science, using density functional theory (DFT) simulations, molecular dynamics, and machine learning to study metal alloys and other materials under extreme conditions such as high pressure and high strain rates. Their work spans predicting new material phases, designing high-strength alloys, and understanding phenomena like martensitic phase transformations and oxidation behavior in metals.
Publication output was minimal or absent from 2017-2020 but increased noticeably starting in 2021, peaking in 2023, and has remained steady through 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Discovery of new high-pressure phases – integrating high-throughput DFT simulations, graph neural networks, and active learning
npj Computational Materials · 2025
- Design of high-hardness complex concentrated alloys from physics, machine learning, and experiments
Journal of Applied Physics · 2025
- High strain rate deformation mechanisms in fcc alloys as a function of load triaxiality
Physical Review Materials · 2025
- How accurate is density functional theory at high pressures?
Computational Materials Science · 2024
- Role of dislocations on martensitic transformation temperatures and microstructure: A molecular dynamics study
Journal of Applied Physics · 2024
- Preferential composition during nucleation and growth in multi-principal element alloys
Journal of Applied Physics · 2024
- Discovery of High-Strength Complex Concentrated Alloys from Physics, Machine Learning, and Experiments
SSRN Electronic Journal · 2024
- Electronic, mechanical, and vibrational properties of calcium lanthanum sulfide solid solution: A DFT study
Journal of Applied Physics · 2023
- Mass uptake during oxidation of metallic alloys: Literature data collection, analysis, and FAIR sharing
Computational Materials Science · 2023
- Role of Dislocations on Martensitic Transformation Temperatures and Microstructure: A Molecular Dynamics Study
SSRN Electronic Journal · 2023
- Preferential Composition during Nucleation and Growth in Multi-Principal Elements Alloys
arXiv (Cornell University) · 2023
- Mass uptake during oxidation of metallic alloys: literature data collection, analysis, and FAIR sharing
arXiv (Cornell University) · 2023
- Developing a DFT database of high-pressure structures
Faculty of 1000 Research Ltd · 2023
- Comparing the accuracy of melting temperature prediction methods for high entropy alloys
Journal of Applied Physics · 2022
- Spin reorientation behaviour and dielectric properties of Fe-doped <i>h</i> -HoMnO <sub>3</sub>
Journal of Physics Condensed Matter · 2021
- Journal of Applied Physics×6
- Computational Materials Science×2
- SSRN Electronic Journal×2
- arXiv (Cornell University)×2
- npj Computational Materials×1
- Jiayuwen Qi
Engineering · The Ohio State University
- Daniel Huber
Engineering · The Ohio State University
- M.J. Mills
Engineering · The Ohio State University
- Zhenyu Bu
Engineering · The Ohio State University
- A. Bezold
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile