Overview: Today's high-performance cloud simulators surpass previous limits in handling qubits and accurately replicate ...

Graphics processing units have fundamentally reshaped how professionals across numerous disciplines approach demanding ...

Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without encoding traditional physical constraints ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as ...

Researchers from Google DeepMind, BIFOLD, and TU Berlin have unveiled AI models that simulate molecular behavior without hard-coded physical laws, achieving competitive results through massive ...

For decades, a collection of fossil fragments sat forgotten in museum drawers — a paleontological "cold case" waiting for ...

Python-derived pTOS shows promise as a side-effect-free appetite suppressant, offering a new path for weight loss and metabolic therapies.

The study, published in Communications Chemistry, explores the first AI‑powered model that can keep molecular simulations running safely and smoothly, even when molecules are pushed to extreme ...

EM, biochemical, and cell-based assays to examine how Gβγ interacts with and potentiates PLCβ3. The authors present evidence for multiple Gβγ interaction surfaces and argue that Gβγ primarily enhances ...