图神经网络的微分物理模拟 这是用PyTorch编写的“的实现。 目前，基本的2D模拟效果很好。 我没有时间训练模型超过40万个时间段，因此当前结果没有像将网络训练到20M个时间段时那样完美。 在给出初始位置和五个先前速度后，以下是网络预测的一些示例： 如您所见，到目前为止，网络还没有完全学会尊重边界，并且由于某些原因，远离其他粒子的粒子会以奇怪的方向飞走（这可能是由于网络对没有粒子的粒子缺乏经验）边缘连接到他们）。 但是，它具有正确的想法，并且大多数模拟看起来都是合理的。 我预计该网络可能无需修改就可以使用3D数据集，但是训练这样的网络需要比我可以使用的tesla v100或RTX 3090更多的VRAM。 我确实有计划在某个时间在TPU上进行培训。 一旦有时间在2D水数据集上训练更多的10M纪元网络，我将发布更多的GIF（我尚未设置粒子嵌入）。 开始运行python -m gra

固体物理 Solid State Physics Ashcrof 美国本科生使用的固体物理教材 英文原版 与中国大学的固体物理教材对比 原汁原味 当然我更喜欢黄昆先生的那本教材

是一个高性能预和求解器的库，具有多种网格方法，可在大型并行计算机上求解大型稀疏线性方程组。 有关文档，请参见我们的。 要安装HYPRE，请参阅文档或文件 。 HYPRE发行历史的概述可以在文件中。 我们感谢用户的反馈。 请在上提交评论，建议并报告问题。 另请参见 。 执照 HYPRE根据MIT许可证和Apache许可证（2.0版）的条款进行分发。 用户可以选择任一个许可证。 所有新的贡献都必须在MIT和Apache-2.0许可下进行。 有关详细信息，请参见 ， ， 和 。 SPDX-License-Identifier：（Apache-2.0或MIT） LLNL代码778117

努梅罗夫 python脚本，用于解一维时间独立的Schrodinger方程的束缚态。 该脚本使用Numerov方法来求解微分方程，并显示所需的能级和带有这些能级中每一个的近似波动函数的图形。 跑步 要运行此代码，只需克隆此存储库并使用python运行Numerov.py脚本（需要numpy和matplotlib模块）： $ git clone https://github.com/FelixDesrochers/Numerov/ $ cd Numerov $ python Numerov.py 然后程序将要求您输入要显示的能级数和所需的电势（确保电势大约位于x = 0的中心）： $ >> Which first energy levels do you want (enter an integer) : 4 $ >> Potential (as a fonction of x):

BOOK - Physics For Scientists And Engineers 6E By Serway And JewettBOOK - Physics For Scientists And Engineers 6E By Serway And JewettBOOK - Physics For Scientists And Engineers 6E By Serway And Jewett

可以模拟可拖拽，可点击，可挤压的果冻之类的柔体效果的插件。unity package使用时拖入unity工程即可。

Downloaded from archive.org. It is a science book for the lay reader, by Albert Einstein and Leopold Infeld, tracing the development of ideas in physics. Albert Einstein pushed his realist approach to physics in defiance of much of quantum mechanics. Belief in an “objective reality,” the book argued, had led to great scientific advances throughout the ages, thus proving that it was a useful concept even if not provable. “Without the belief that it is possible to grasp reality with our theoretical constructions, without the belief in the inner harmony of our world, there could be no science,” the book declared. "This belief is and always will remain the fundamental motive for all scientific creation.” In addition, Einstein used the text to defend the utility of field theories amid the advances of quantum mechanics. The best way to do that was to view particles not as independent objects but as a special manifestation of the field itself: "Could we not reject the concept of matter and build a pure field physics? We could regard matter as the regions in space where the field is extremely strong. A thrown stone is, from this point of view, a changing field in which the states of the greatest field intensity travel through space with the velocity of the stone."

Light_WaveTransmission1D：光学传输矩阵求解器

游戏物理引擎开发(第三版)的随书代码，实现的物理引擎Cyclone，以及几个实例程序，非常实用。

Game Physics is an introduction to the ideas and techniques needed to create physically realistic 3D graphic environments. As a companion volume to Dave Eberly's industry standard 3D Game Engine Design, Game Physics shares a similar practical approach and format. Dave includes simulations to introduce the key problems involved and then gradually reveals the mathematical and physical concepts needed to solve them. He then describes all the algorithmic foundations and uses code examples and working source code to show how they are implemented, culminating in a large collection of physical simulations. This book tackles the complex, challenging issues that other books avoid, including lagrangian dynamics, rigid body dynamics, impulse methods, resting contact, linear complementarity problems, deformable bodies, mass-spring systems, friction, merical solution of differential equations, numerical stability and its relationship to physical stability, and . tegration methods. Dave even describes when real physics isn't necessary-and hacked physics will do.