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

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 ...

Abstract: Optimizing high-performance power electronic equipment, such as power converters, requires multiscale simulations that incorporate the physics of power semiconductor devices and the dynamics ...

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

Superconducting quantum design has called for specialised expertise working with mostly improvised design tools within a homegrown workflow ...

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 ...

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

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...

Researchers in Australia have unveiled the largest quantum simulation platform built to date, opening a new route to exploring the complex behavior of quantum materials at unprecedented scales.