Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

Additive manufacturing (AM) has already undergone substantial advances over the past two decades since its renaissance in the early 2000s, solidifying its position as a viable manufacturing technology ...

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

Computational modeling and simulation of nanomaterials strongly complement physical experiments. They enable the prediction of characteristics and processes under conditions difficult to replicate or ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

The Santa Ana winds were already blowing hard when I ran the first worm simulation. I’m no hacker, but it was easy enough: Open a Terminal shell, paste some commands from GitHub, watch characters ...