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2307.08214
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Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo
17 July 2023
Rui Li
Hao-Tong Ye
Du Jiang
Xuelan Wen
Chuwei Wang
Zhe Li
Xiang Li
Di He
Ji Chen
Weiluo Ren
Liwei Wang
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Papers citing
"Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo"
5 / 5 papers shown
Title
Is attention all you need to solve the correlated electron problem?
Max Geier
Khachatur Nazaryan
Timothy Zaklama
Liang Fu
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07 Feb 2025
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
Zekun Shi
Zheyuan Hu
Min-Bin Lin
Kenji Kawaguchi
104
4
0
27 Nov 2024
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Leon Gerard
Michael Scherbela
P. Marquetand
Philipp Grohs
AI4CE
35
34
0
19 May 2022
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation
Jeffmin Lin
Gil Goldshlager
Lin Lin
35
22
0
07 Dec 2021
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
141
444
0
16 Sep 2019
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