A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...

Master 3D electric field simulations of a charged rod using Python! 🐍⚡ This tutorial guides you step-by-step through visualizing electric field vectors in three dimensions, helping you understand ...

Explore non-trivial 1D square wells in Python with this detailed physics tutorial! 🐍⚛️ Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...

Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...

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

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

Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve ...

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 ...