68 citations · 379 across the 17 of their papers we have counts for
3 papers · 1 filter
CHIPS-FF: Evaluating Universal Machine Learning Force Fields for Material Properties
Daniel Wines, Kamal Choudhary
In this work, we introduce CHIPS-FF (Computational High-Performance Infrastructure for Predictive Simulation-based Force Fields), a universal, open-source benchmarking platform for…
Quantum Monte Carlo and density functional theory study of strain and magnetism in 2D 1T-VSe with charge density wave states
Daniel Wines, Akram Ibrahim, Nishwanth Gudibandla +18
Two-dimensional (2D) 1T-VSe has prompted significant interest due to the discrepancies regarding alleged ferromagnetism (FM) at room temperature, charge density wave (CDW) stat…
Toward improved property prediction of 2D materials using many-body quantum Monte Carlo methods
Daniel Wines, Jeonghwan Ahn, Anouar Benali +10
The field of two-dimensional (2D) materials has grown dramatically in the last two decades. 2D materials can be utilized for a variety of next-generation optoelectronic, spintronic…