RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

I am the Director of the Computer Science and Mathematics Division in the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory. Computational peridynamics is a special ...

Reservoir computing is a machine learning method that is closely linked to dynamical systems theory. This connection is highlighted in a brief introduction to the general concept of reservoir ...

Learn methods for interpolation, numerical integration and derivation, and finite difference methods for differential equations. You can use these live scripts as demonstrations in lectures, class ...

State-of-the-art machine learning methods for constitutive modeling typically require many tensorial stress–strain pairs, which can be challenging to acquire. Noncontact model identification ...