Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...
Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.
The observational track of Typhoon "Danas" (solid line) along with forecasted paths (dashed lines) depicted on the FY-4B satellite visible light imagery at 08:00 BST on July 6, 2025. The dashed lines ...
Fainite is developing a physics-aware AI platform to accelerate simulation workflows, reduce engineering complexity and ...
Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...
Imagine trying to prove that 1+1=2, but when you do the calculations, it turns out that the result is off by 0.1%. That scenario is similar to the riddle that’s facing physicists worldwide as they try ...
The Southern Maryland Chronicle on MSN

Charles County Students Excel in STEM Challenges

LAUREL, Md. — Charles County Public Schools (CCPS) teams earned top honors at the 2025 Maryland Math, Engineering and Science Achievement (MESA) Day, held May 3 at the Johns Hopkins Applied Physics ...