New experiments reveal why milk, oil, syrup, and water cling to surfaces for wildly different lengths of time.

A scientist claims to have solved one of humanity's oldest mysteries with an equation he says provides mathematical proof ...

This year’s Fields Medal honors four mathematicians in their 30s who have made their mark in geometry and physics.

It's a question that plagued car designers for over a century: How do we make a car go faster? Instinctually, one would assume that you could throw horsepower at it until you achieve the numbers you ...

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended up being too simple. Reading time 3 minutes As typically is the case with ...

A major gift from the Leinweber Foundation has established the Leinweber Forum for Theoretical Physics at Princeton University. With this gift, Princeton will become the ninth member of the Leinweber ...

Whether you're a novice getting your PPL, an experienced pilot with thousands of hours of flight time, or an avid simmer, you're probably familiar with the basics of aircraft weight and balance.

Studying physics can be very useful – even when it comes to machine learning. A digital ‘super-brain’ with built-in knowledge of the fundamental laws of nature can speed up the development of optical ...

If you could take an apple and break it into smaller and smaller parts, you would find molecules, then atoms, followed by subatomic particles like protons and the quarks and gluons that make them up.

The icy ballet of stone upon ice makes curling one of the most intriguing sports of the Winter Olympics. But scientists still haven't quite figured out the physics of how they move. For a sport that ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Abstract: This paper presents a predictive model based on a physics-informed neural network (PINN) framework to estimate the degree of polymerization (DP) in power transformer insulation paper. The ...