Adiabatic quantum computing An example problem represented by an energy landscape. Each point on the landscape represents a candidate solution. The deepest valley represents the actual solution with ...

ABSTRACT: Generative Artificial Intelligence (GAI) is rapidly reshaping programming education, yet little is known about how college students cognitively, emotionally, and behaviorally engage with AI ...

Abstract: The growing scale of the power system has intensified the demand for computational efficiency in unit commitment (UC). This paper introduces a novel approach that addresses this issue by ...

Illustrating physics problems with Web VPython in Python. Learn how to build clear 3D visualizations for motion and forces, and bring physics concepts to life with interactive animations and simple ...

Generative AI is becoming ubiquitous in everyday life. Large language models like ChatGPT can help answer questions, write email, and solve problems at seemingly lightning speed, pulling from enormous ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

Ramanujan’s elegant formulas for calculating pi, developed more than a century ago, have unexpectedly resurfaced at the heart of modern physics. Researchers at IISc discovered that the same ...

When Ben Lambright ’24, MS’25 introduces himself, he keeps it simple: He’s a Brandeis student completing his master’s degree in computational linguistics. But the work he’s doing is anything but ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...