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In this project, we study the semiclassical Schrödinger equation with external potential that may contain uncertainties, and is treated as the control variable.
May 30, 2023 · Title:On a neural network approach for solving potential control problem of the semiclassical Schrödinger equation. Authors:Yating Wang, Liu ...
In this project, we study the semiclassical Schrödinger equation with external potential that may contain uncertainties, and is treated as the control variable.
We present a machine learning algorithm that discovers conservation laws from differential equations, both numerically (parametrized as neural networks) and ...
In this work, we apply neural networks to learn the control problem for the semiclassical Schr\"odinger equation, where the control variable is the potential ...
Feb 15, 2022 · In this work we approach the Schrödinger equation in quantum wells with arbitrary potentials, using the machine learning technique.
On a neural network approach for solving potential control problem of the semiclassical Schrödinger equation. https://doi.org/10.1016/j.cam.2023.115504 ·.
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Sep 13, 2023 · This article presents an approach to the two-dimensional Schrödinger equation based on automatic learning methods with neural networks.
In this work, two neural networks with different architectures are proposed and trained using a set of potentials, energies, and wave functions previously ...
Missing: control | Show results with:control
Jul 13, 2023 · In this interdisciplinary approach, we aim to solve the quantum many-body problem by utilizing neural-network quantum states. These states, as ...