Boston Dynamics has revealed how its Atlas humanoid robot learned to lift and carry heavy industrial objects using reinforcement learning and large-scale simulation training. In a newly released ...

Pharmaceutical companies and research institutions are using artificial intelligence to design robotic experiments at scale, but they need to know if AI-generated instructions will execute correctly ...

Understand the fundamental concepts of molecular dynamics simulations Set up and run a basic molecular dynamics simulation using GROMACS Analyze and visualize simulation results: radial distribution ...

This paper presents a novel simulation framework for estimating the dynamic response of a full-scale ground-mounted solar panel array under stationary wind loads that are spatially correlated across ...

Researchers in the United States have used an exascale supercomputer to perform the largest fluid dynamics simulation ever. It surpassed one quadrillion degrees of freedom in a single computational ...

Ribonucleic acid (RNA) is one of life's most versatile molecules, with roles going far beyond being a messenger of genetic code, as it is fundamentally involved in gene regulation, processing, and ...

Abstract: Product design involves the conceptualization and creation of products, where simulation workflows often require dynamic scheduling. Although deep reinforcement learning has shown ...

We study the cavitation bubble that forms as a nano-scale spherical surface is detached from a flat surface using molecular dynamics (MD) simulations. This investigation maps the onset and early ...

The success of a molecular dynamics simulation depends on the accuracy of the force field used to define the atomic interactions. It is challenging to train both classical and modern machine-learning ...