Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Abstract: Based on unsupervised physics-informed neural network (PINN) framework, a two-dimensional inverse-design method for antenna superstrate is proposed, which can simultaneously realize the ...

Abstract: The abundant knowledge of data and physics models can be simultaneously utilized in learning-based modeling, prediction, and control methods, which makes the balance between model efficiency ...

The NFL salary cap is continuing on its astronomical trajectory in 2026. On Friday, the league informed clubs it is projecting a salary cap in the range of $301.2 million to $305.7 million for the ...

Learn how to calculate the vector change in momentum of a bouncing ball in this physics tutorial! This video explains the concepts of momentum, direction, and collisions step by step, making it easy ...

Learn how to model the force of a spring step by step in this physics tutorial! 🧲📐 Explore Hooke’s Law, spring constants, and real-world examples while applying calculations to understand how ...

Florian Neukart does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Our team led a trauma-informed social media campaign to raise awareness and improve understanding of endometriosis by sharing research findings from a photovoice study focusing on Asian women’s ...

Introduction: In the present study, fluid and mass transport along a microchannel are aimed to be solved using physics-informed neural networks (PINN), which is an emerging solution method for partial ...

ABSTRACT: Rubber is widely used in automotive vibration isolation systems due to its excellent mechanical properties and durability. However, elastomeric support components tend to experience ...