3 citations · 5 across the 4 of their papers we have counts for
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cond-mat.str-el2025★ 1 cited
Expressivity of determinantal ansatzes for neural network wave functions
Ni Zhan, William A. Wheeler, Gil Goldshlager +3
Neural network wave functions have shown promise as a way to achieve high accuracy on the many-body quantum problem. These wave functions most commonly use a determinant or sum of…
cond-mat.mtrl-sci2025
Space Group Equivariant Crystal Diffusion
Rees Chang, Angela Pak, Alex Guerra +4
Accelerating inverse design of crystalline materials with generative models has significant implications for a range of technologies. Unlike other atomic systems, 3D crystals are i…
cond-mat.mtrl-sci2025★ 3 cited
Revealing the proton slingshot mechanism in solid acid electrolytes through machine learning molecular dynamics
Menghang Wang, Jingxuan Ding, Grace Xiong +8
In solid acid electrolytes CsHPO and CsHSO, the origin of fast proton conduction has long been debated, attributed either to local proton hopping or to polyanion rotati…