The integration of deep learning techniques and physics-driven designs is reforming the way we address inverse problems, in which accurate physical properties are extracted from complex observations.

In recent courses, I have noticed two troubling practices of physics students. The first is the student response to homework problems. I hear the following kind of statements all too often: "Oh, you ...

Parts of the brain not traditionally associated with learning science become active when people are confronted with solving physics problems, a new study shows. The researchers, led by Eric Brewe, PhD ...

In The Physics Teacher, researchers explore the goal of culturally relevant pedagogy, which is to center students' cultural resources as a bridge to learning. It relies on a framework of academic ...

Think about a weighing scale. You know that it’s going to tell you how much you weigh when you step on it, and that’s probably it. To reach that conclusion you’re mostly using the occipital cortex, in ...

Researchers at the University of California San Diego and the Allen Institute for AI have built a climate emulator that ...

Harnessing data to discover the underlying governing laws or equations that describe the behavior of complex physical systems can significantly advance our modeling, simulation and understanding of ...

At the introductory level, student typically study classical mechanics and electricity and magnetism (EM). The upper level physics courses focus on quantum mechanics and then more advanced versions of ...

Learn physics and have some fun at the same time at a community event this weekend. On Saturday and Sunday, Idaho State ...

A new study showed that, when confronted with physics problems, new parts of a student's brain are utilized after receiving instruction in the topic. Parts of the brain not traditionally associated ...