TBPLaS is an open-source software package for the accurate simulation of physical systems with arbitrary geometry and dimensionality utilizing the tight-binding (TB) theory. It has an intuitive object

NIAID Data Ecosystem100

DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data (minimal)

动力系统预测

物理系统模拟

This is a minimal version of the DynaBench dataset, containing the first 5% of the data. The full dataset is available at https://professor-x.de/dynabench Abstract: Previous work on learning physical

NIAID Data Ecosystem30

物理系统模拟基准套件

物理系统模拟

机器学习

物理系统模拟基准套件是由纽约大学数学科学研究所创建的一套用于科学计算的核心组件，涵盖广泛的物理领域和应用。该数据集包含四个典型的物理系统，包括单摆、一维线性波动方程、纳维-斯托克斯流动问题和弹簧网格系统。这些系统代表了复杂性的递增，从简单的线性系统到非线性系统，旨在客观和系统地评估数据驱动方法的稳定性、准确性和计算效率。数据集还配置了允许调整以适应其他学习任务和为科学计算中的机器学习未来发展奠定基

arXiv2021-08-10 更新330

Data for "Generating large disordered stealthy hyperuniform systems with ultra-high accuracy to determine their physical properties"

物理系统模拟

超均匀系统

This contribution includes the programs necessary to perform the simulations associated with the manuscript "Generating large disordered stealthy hyperuniform systems with ultra-high accuracy to deter

DataCite Commons2023-10-30 更新90

Friction-less pendulum data in JLD2

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