Can a small lump of metal be in a quantum state that extends over distant locations? A research team at the University of ...
Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...
This video shows how to apply the work–energy principle to real physical systems beyond ideal point particles. Learn how external work, internal forces, and energy losses are handled in practical ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...
Physics Problem: Solving vector operations step-by-step! ️📐 In this video, we break down how to perform vector operations, such as addition, subtraction, and scalar multiplication, with real-world ...
A professor at the University of Cincinnati and his colleagues have figured out something two of America's most famous fictional physicists couldn't: how to theoretically produce subatomic particles ...
Physicists have transformed a decades-old technique for simplifying quantum equations into a reusable, user-friendly "conversion table" that works on a laptop and returns results within hours. When ...
Microsoft’s near-term margin pressure reflects a “physics problem” of massive AI CapEx colliding with surging long-term demand. Satya Nadella’s “new economics of AI” signals a company-wide shift ...
GADSDEN — Jane Elizabeth Burdeshaw said people generally reach out to her with problems, not solutions. However, the Alabama Department of Rehabilitation Services’ commissioner found the situation ...
Abstract: A new class of neural networks has been recently introduced to solve problems based on some physical model. Such networks are called “Physical-Informed Neural Networks” (PINN). PINN are ...
BUFFALO, N.Y. — Imagine zooming into matter at the quantum scale, where tiny particles can interact in more than a trillion configurations at once. If that sounds complicated, it is: Physicists often ...