As industries advance, materials are increasingly exposed to more diverse and extreme environments, making the evaluation of their performance under such conditions ever more important. However, conducting experiments to assess materials in extreme environments is often challenging and costly. Computational modeling capable of predicting material behavior under these conditions offers an efficient alternative. Our research focuses on developing such models to accurately predict the behavior of materials in extreme environments.
Hydrogen
Hydrogen Diffusion and Embrittlement in Single Phase Microstructure
Anomalous Hydrogen Diffusion and Embrittlement in Q&P Steel
Fatigue & Creep
Prediction of Rolling Contact Fatigue Life with Microstructural Alteration
Modeling Creep Deformation of NBSC Superalloys