Stevens Institute, Hoboken, reports the universal identity P²+K²=1, uniting polarization with entanglement across setups and ...

A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...

Nuclear weapons tests are among the most violent events humans can trigger, and that violence leaves fingerprints in the ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

A new study enhances hydrogen molecule predictions, achieving unprecedented precision in testing fundamental physics and ...

Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we ...

This example is using @geckos.io/phaser-on-nodejs which is very slow tedious. If you need to run Phaser's Arcade Physics on the Server, I recommend using arcade-physics. I will not update this example ...

A collision detection component powered by the physics simulation with low overhead and precise collision zones. This is intended to be placed on tracked controller entities to monitor collisions and ...