Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a critical role in mapping the physics of our changing climate.
In his years as a physics teacher, students often asked Mark Whalley why they had to learn the subject when most of them would never directly use it in their careers. Having never been satisfied with ...
Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool morphology in selective laser melting (SLM). This novel approach combines ...
This is the github repo for the paper "physics of skill learning" (TBA). Research question: Do skills learn in series or in parallel? It is probably a mixture of both, but how much do they learn in ...
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 ...
The physical properties of sound fields are useful a priori information, and it is considered extremely important to incorporate them into the estimation. In this article, we introduce the ...