Four Princeton University researchers — Nathalie de Leon, Julia Mikhailova, Barry Rand and Jeff Thompson — are among the 21 winners of the 2023 Gordon and Betty Moore Foundation Experimental Physics ...

Forbes contributors publish independent expert analyses and insights. Larry Leinweber, who grew up in rural northern Michigan and made his career in software, has had a lifelong interest in science.

UC Santa Barbara physicists Sebastian Streichan, David Patterson and Andrea Young are among the 22 mid-career researchers to be named Gordon and Betty Moore Foundation Experimental Physics ...

Two leading scientists discuss the future of their field. Credit...Ariel Davis Supported by By Dennis Overbye The future belongs to those who prepare for it, as scientists who petition federal ...

The reporters analyzed 35 years of grants funded by the National Science Foundation. The National Science Foundation, which funds much of the fundamental scientific research at American universities, ...

David Packard (1912-1996), the co-founder of the Hewlett-Packard Company. The foundation formed by him and his wife has provided hundreds of millions of dollars to support science and engineering over ...

NSF CAREER award leads to better batteries, a more diverse scientific community March 02, 2021 Last year, Mechanical Engineering Assistant Professor Feifei Fan earned a National Science Foundation ...

Prepare to pursue graduate studies or launch successful careers in national laboratories, research and industry. The Master of Science in Physics program at UMass Lowell provides a strong foundation ...

Karen J Matsler receives funding from National Science Foundation as linked to and mentioned in the article. Employed by University of Texas Arlington The first time I heard about quantum information ...

Throughout 2025, the science establishment has warned that the Trump administration poses a lethal threat to “American science expertise as we know it.” The alarums have been overwrought and ...

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