28 citations · 29 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2023★ 28 cited
High Pressure and Temperature Neural Network Reactive Force Field for Energetic Materials
Brenden W. Hamilton, Pilsun Yoo, Michael N. Sakano +2
Reactive force fields for molecular dynamics have enabled a wide range of studies in numerous material classes. These force fields are computationally inexpensive as compared to el…
cond-mat.mtrl-sci2022★ 1 cited
Data-Driven Machine Learning to Predict Mechanical Properties of Monolayer TMDs
Prottay Malakar, Md Shajedul Hoque Thakur, Shahriar Muhammad Nahid +1
The understanding of the material properties of the layered transition metal dichalcogenides (TMDs) is critical for their applications in structural composites. The data-driven mac…