Global Intelligence Database
A new theoretical framework challenges the dark matter hypothesis by proposing a scalar-enriched modification of gravity. This model, MMA-DMF, appears to resolve major cosmological tensions while offering a stable description of extreme objects like neutron stars and black holes.
By Adriano
Scientists are using colloidal systems, where individual particles can be tracked, as a perfect training ground for artificial intelligence. This unique visibility provides incredibly rich data, teaching machine learning models to predict how materials behave and helping to design novel ones from scratch.
By Kang, Joo, An, Hwang
Researchers introduce trRosettaX2-Dynamics, a hybrid model combining deep learning with physics-based sampling to predict protein motion. While building on the success of static predictors like AlphaFold2, the method relies on a dual-training regime of X-ray and NMR data to capture alternative conformations.
By Xiang C, Wang W, Peng Z, Yang J.