This paper introduces to the results achieved in the research project called: "Simulations of classical mechanics with the implementation of free software" for learning mechanical physics in electronic and computation undergraduate students at Universidad de los Llanos. This is a developed method for ...
pyPhysicsSandbox is a simple wrapper around Pymunk that makes it easy to write code to explore 2D physics simulations. It's intended for use in introductory programming classrooms. - jshaffstall/PyPhysicsSandbox
(ii) a library of battery models and parameters, and (iii) specialized tools for simulating battery-specific experiments and visualizing the results. Together, these enable flexible model definitions and fast battery simulations, allowing users to explore the effect of different battery designs and ...
OpenFOAM: A C++ library for complex physics simulations. Int. Workshop Coupled Methods Numer. Dyn. 1000, 1–20 (2007). ADS Google Scholar Plimpton, S. Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117, 1–19 (1995). Article ADS MATH Google Scholar Jia...
NVIDIA PhysicsNeMo is an open-source python framework for building, training, and fine-tuning physics AI models at scale.
the employed hybrid strategy, described in Section “Neural operators”, combines data from high-fidelity simulations (or experiments) to anchor the solution to frequent or reproducible real-world scenarios and the residual of the governing laws to ensure generalizability to different unseen physical con...
Over the past two decades, efforts to account for uncertainty quantification in computer simulations have led to highly parameterized formulations that may include hundreds of uncertain parameters for complex problems, often rendering such computations infeasible in practice. Typically, computer codes at the...
Impact of heterogeneous infection rates on traffic-driven epidemic spreading dynamics in complex networks Xing-Li Jing, Jie Chen, Xiang Ling, Mao-Bin Hu, and Yan-Qiang Li Vol. 36, No. 09 Numerical simulations of scaling exponents in moving organisms: A comparative study within and across specie...
Cedric is researching the applicability and limitations of mesh-free reservoir simulations using physics-informed neural networks (PINNs). He’s keenly interested in the flow and transport problem in porous media (conservation of mass and Darcy flow). Cedric’s application is a Python-based reservoir...
In this paper we concentrate on the implementation and the results of teaching and learning methods which are based on use of Information and Communication Technologies (ICTs) for understanding of Physics concepts. These methods are simulations, virtual reality, video games and were used to students...