Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Getting an up-close view of life at the cellular level can be as simple as placing onion skin under a microscope and adjusting the knobs. Peering deeper, into the heart of the atoms within, isn't as ...

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Researchers from Skoltech have published a paper in the journal Physica D: Nonlinear Phenomena presenting an analysis of steady propagating combustion waves—from slow flames to supersonic detonation ...

The squeaking of sneakers on a gym floor is usually attributed to friction, specifically a stick-slip variety that involves cycles of sticking and sliding between two surfaces. But that model is best ...

The Motherboard of Reality: The simulation does not assume space is naturally 3D. Based on established lattice gauge theory, the code’s baseline operator continuously “stitches” minimal ...

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

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 ...