A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...

Modeling and creating simulations are key skills in any math, science or engineering profession. That’s why we’ve created a unique, interdisciplinary computational science minor. This minor gives ...

The use of computational methods and tools to deepen our understanding of long-standing questions in the social sciences has been rapidly growing in recent years. This Collection includes manuscripts ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...

(a) A feasible route for developing large materials models capable of describing the structure-property relationship of materials. The universal materials model of DeepH accepts an arbitrary material ...

IGNOU launches M.Sc. in Data Science and Analytics via Open Distance Learning to train students in computational and statistical data skills for problem solving.

A team of Ghanaian and South African mathematicians has earned global recognition for developing the Approximate Analytical Method, a novel approach that improves solutions to complex fluid dynamics ...

Nov. 19, 2025 — Applications for the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) are being accepted through Jan. 15, 2026, with an informational webinar set for Dec. 3, ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...