SCS researchers, including CSD's Guying Lin (shown), have developed a new scene-generation framework that creates physically realistic, simulation-ready 3D scenes from text prompts. PAT3D generates 3D ...

Researchers join Wellcome Leap’s international effort to better understand early biological influences on neurodevelopment.

The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

A research team is using astrophysical explosions to understand the mysterious forces at work in some of the smallest ...

Louisiana Tech University senior Jesse Webb will represent the United States this April at the NYU Abu Dhabi International Hackathon for Social Good, one of the world’s premier student quantum ...

During AY2025-2026 the CUNY Office of Research funded 16 Research in the Classroom (RIC) grants for faculty to incorporate authentic research activities into their undergraduate courses. This ...

In this repo, We'll post our projects on rheology-informed machine learning. Feel free to reach out to me at saadat.m@northeastern.edu if you had any questions or thoughts. We are a computational lab ...

The U.S. Department of Energy’s Princeton Plasma Physics Laboratory is developing a new project which aims to use AI to expedite fusion energy research. Shantenu Jha, the head of PPPL’s Computational ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: The reliability of multi-layer ceramic capacitors (MLCCs) under extreme conditions presents a critical challenge for modern electronics. Physics-based models, such as the Eyring framework ...