Revisiting the U-Zr Phase Diagram: A Critical Review
J. Lund, W. Williams, M. Okuniewski, R. E. García
Minerals, Metals & Materials Society (TMS), San Diego, CA
Invited Presentation
Machine Learning of Phase Diagrams: Applications to Energy Materials
J. Lund, W. Wang, R. Braatz, R. E. García
Minerals, Metals & Materials Society (TMS), San Diego, CA
Invited Presentation
Machine Learning of Phase Diagrams
J. Lund, W. Wang, R. Braatz, R. E. García
American Physical Society, Las Vegas, NV
Paper
Grain Boundary Metal-Insulator Transitions in Polycrystalline LiCoO2
L.D. Robinson, J. Lund, K. S. N. Vikrant, R. E. García
Journal of Power Sources, 547, pg 231918
https://doi.org/10.1016/j.jpowsour.2022.231918.
Paper
Machine Learning of Phase Diagrams
J. Lund, W. Wang, R. Braatz, R. E. García
Materials Advances, 3, pg 8485-8497
https://doi.org/10.1039/D2MA00524G
Presentation
Artificial Intelligence for the Thermodynamic Equilibrium of Materials
J. Lund
Computational Interdisciplinary Graduate Program Symposium, West Lafayette, IN.
Paper
Thermodynamically Consistent Variational Principles for Charged Interfaces
J. Lund, K. S. N. Vikrant, C. M. Bishop, W. Rheinheimer, and R. E. García
Acta Materialia, 205, pg 116525
https://doi.org/10.1016/j.actamat.2020.116525.
Paper
Modeling of Flash Sintering of Ionic Ceramics
K. S. N. Vikrant, X. L. Phuah, J. Lund, Han Wang, C. S. Hellberg, N. Bernstein, W. Rheinheimer, C. M. Bishop, H. Wang, and R. E. García
MRS Bulletin, 46, pg 67-75
https://doi.org/10.1557/s43577-020-00012-0.
Presentation
Real time data analytics and machine learning of phase equilibria
J. Lund, H. Wang, R.E. García
Toyota Research Institute Accelerated Materials Design and Discovery Conference, Boston, MA.
Poster
Volta: CALPHAD-based phase field modeling of electrochemical materials.
J. Lund, A. Deva, K. S. N. Vikrant, R.E. García
Gordon Research Conference Solid State Studies in Ceramics, South Hadley, MA.