News
Group updates
News
Recent milestones from the group.
2026
- Shunshun Liu graduates with a PhD in Materials Science and Engineering
- Congratulations to Shunshun Liu, who graduated with a PhD in Spring 2026!
- New paper in Scientific Reports: predicting misfit volume in refractory high-entropy alloys
- Congratulations to Shunshun Liu on the publication of “An Active Learning Workflow for Predicting Misfit Volume in Body-Centered Cubic Refractory High-Entropy Alloys” in Scientific Reports. Read more →
- New paper in Scientific Reports: predicting TTT curves in uranium-based alloys
- Congratulations to Sunidhi Garg, in collaboration with Dr. Joshi (PNNL), Dr. Bhattacharya (UVA), and Prof. Agnew (UVA), on the publication of “A Physics-Regularized Machine Learning Approach for Predicting Time-Temperature-Transformation Curves in Alloys: Application to Uranium-based Alloys” in Scientific Reports. Read more →
- New paper in npj Computational Materials: a computational Dieke design map
- Congratulations to Shunshun Liu, in collaboration with Prof. Clarke (Harvard), on the publication of “A Computational Dieke Design Map for Near-Infrared Optical Absorption in Transition Metal-Substituted Yttria-Stabilized Zirconia” in npj Computational Materials. Read more →
- New paper in Digital Discovery: adaptive ensemble sampling for van der Waals epitaxy
- Congratulations to Ankita, in collaboration with Dr. Bagchi (ORNL), Dr. Ghosh (ORNL, now at IIT-Madras), and Dr. Panchapakesan (ORNL), on the publication of “Towards ‘on-demand’ van der Waals epitaxy with adaptive ensemble sampling atomistic workflows” in Digital Discovery.
- New paper in Integrating Materials and Manufacturing Innovation: LLM-based large scale data extraction from scientific publications
- Congratulations to Shunshun Liu and Talon Booth, in collaboration with Prof. Reinhart (Penn State) and Prof. Ji (UVA, Computer Science), on the publication of “Expert-Grounded Automatic Prompt Engineering for Extracting Lattice Constants of High-Entropy Alloy from Scientific Publications using Large Language Models” in Integrating Materials and Manufacturing Innovation. Read more →