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Jul 18, 2018 · Abstract:We introduce a new family of trial wave-functions based on deep neural networks to solve the many-electron Schrödinger equation.
Dec 15, 2019 · We introduce a new family of trial wave-functions based on deep neural networks to solve the many-electron Schrödinger equation.
This opens up new possibilities for solving large-scale many-electron Schrödinger equation. Keywords: Schrödinger equation, Variational Monte Carlo, Deep neural.
Sep 5, 2019 · This demonstrates that deep neural networks can improve the accuracy of variational quantum Monte Carlo to the point where it outperforms other ...
Solving many-electron Schrödinger equation using deep neural networks. from www.nature.com
Feb 15, 2022 · In this work we approach the Schrödinger equation in quantum wells with arbitrary potentials, using the machine learning technique.
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Sep 16, 2020 · This paper presents a deep neural network that can be used as a wavefunction Ansatz for variational quantum Monte Carlo on many-electron ...
We introduce a new family of trial wave-functions based on deep neural networks to solve the many-electron Schrodinger equation.
Jun 21, 2024 · The solution of Schrödinger equation generates the quantisation properties of the system, which can completely describe the quantum ...