most citedOn-the-fly machine learning-augmented constrained AIMD to design new routes from glassy carbon to quenchable amorphous diamond with low pressure and temperature

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2025★ 6 cited

On-the-fly machine learning-augmented constrained AIMD to design new routes from glassy carbon to quenchable amorphous diamond with low pressure and temperature

Meng-Qi Cheng, Wei-Dong Luo, Hong Sun

Recent advances in machine learning have enabled large-scale atomic simulations with first-principles accuracy, allowing precise modeling of disordered materials such as glassy car…