Massive compute capabilities enable a whole new way of manipulating and using data, and a potential bonanza for AI data ...

Scientists have long seen a puzzling pattern in tokamaks, the doughnut-shaped machines that could one day reliably generate electricity from fusing atoms. When plasma particles escape the core of the ...

Scientists and medical experts are countering climate denialism, vaccine scepticism and wellness pseudoscience on social ...

This mind-bending relativity illusion has never been seen—until now ...

In Python Physics Lesson 14, we explore the simulation of elastic collisions and springs! Learn how to model collisions, spring dynamics, and energy transfer using Python, with step-by-step coding and ...

In Python Physics Lesson 24, we explore the simulation of a dipole electric field! Learn how to model electric fields using Python, visualize field lines, and understand the principles of dipole ...

Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve conduction recordings. Interpretation of these recordings is largely taught during ...

OpenAI's GPT-5.2 has derived a new formula explaining gluon scattering processes that physicist Nima Arkani-Hamed ...

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...

Abstract: Large-scale simulations of semiconductor devices are crucial for understanding their behavior, yet each iteration of these simulations can take hours or even days. The complexity of modern ...

This paper proposes a novel approach combining prior physics-based Gaussian Process Regression (GPR) with Bayesian Optimization for efficient and accurate electromagnetic near-field scanning. By ...

After presenting comparable docking results last year-and using them to prospectively identify drug candidates on difficult ...