38 citations · 40 across the 3 of their papers we have counts for
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cond-mat.mtrl-sci2022★ 38 cited
Efficient Probabilistic Computing with Stochastic Perovskite Nickelates
Tae Joon Park, Kemal Selcuk, Hai-Tian Zhang +8
Probabilistic computing has emerged as a viable approach to solve hard optimization problems. Devices with inherent stochasticity can greatly simplify their implementation in elect…
cond-mat.mtrl-sci2016★ 1 cited
Machine learning force fields: Construction, validation, and outlook
Venkatesh Botu, Rohit Batra, James Chapman +1
Force fields developed with machine learning methods in tandem with quantum mechanics are beginning to find merit, given their (i) low cost, (ii) accuracy, and (iii) versatility. R…