most citedTime series forecasting of multiphase microstructure evolution using deep learning

14 citations · 21 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2024★ 14 cited

Time series forecasting of multiphase microstructure evolution using deep learning

Saurabh Tiwari, Prathamesh Satpute, Supriyo Ghosh

Microstructure evolution, which plays a critical role in determining materials properties, is commonly simulated by the high-fidelity but computationally expensive phase-field meth…

cond-mat.mtrl-sci2024★ 7 cited

Exploring large language models for microstructure evolution in materials

Prathamesh Satpute, Saurabh Tiwari, Maneet Gupta +1

There is a significant potential for coding skills to transition fully to natural language in the future. In this context, large language models (LLMs) have shown impressive natura…