Historically, cosmological models rely on "free parameters"—arbitrary, human-tuned variables inserted into the math to force the formulas to match reality. Kulkarni's updated simulation completely ...

Leading AIs from OpenAI, Anthropic and Google opted to use nuclear weapons in simulated war games in 95 per cent of cases ...

BeyondMath has secured new funding to expand its generative physics AI model, aiming to help engineering teams run faster, more flexible simulations and accelerate adoption across key industrial ...

Respiratory supercomplex formation relieves molecular strain of mitochondrial membranes and reshapes global protein motions, linking membrane reorganization to respiratory function.

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Science is a subject built on doing. Students learn chemistry through titrations, biology through dissections, physics ...

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 ...

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

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 ...