Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...
Transport properties near the Dirac point in graphene are expected to be determined by quantum many-body interactions between relativistic electrons. Experiments now show that the flow of charge and ...
Abstract: Optimizing high-performance power electronic equipment, such as power converters, requires multiscale simulations that incorporate the physics of power semiconductor devices and the dynamics ...
Abstract: Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks ...
ASAP codebase is built on top of HumanoidVerse (a multi-simulator framework for humanoid learning) and Human2Humanoid (our prior work on humanoid whole-body tracking). HumanoidVerse allows you to ...
The final, formatted version of the article will be published soon. Artificial intelligence (AI) is redefining the foundations of scientific software development by turning once-static codes into ...
This project demonstrates a systematic approach to selecting and implementing Claude artifacts based on ease of implementation and success probability. Following the "avoid the Icarus effect" ...
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