Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional materials that may host unusual quantum behavior. The work, published in ...
2don MSN
Meet Praadhyumn Indaana, 17, whose AI cut nuclear heat-limit error from 63% to 5.5%; he won $50K
Praadhyumn Indaana has created a groundbreaking physics-guided neural network tailored for nuclear reactors. This ...
Artificial intelligence startup HeyDonto AI Technology today announced that it has established DFT Labs, a research subsidiary dedicated to pursuing a physics-based framework for machine learning. The ...
Artificial intelligence, physics-based modeling, and federated learning are reshaping how new medicines are discovered. At STAT’s 2026 Breakthrough Summit West, leaders from Eli Lilly, Anthropic, and ...
Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether a ...
A critical review evaluates scientific machine learning approaches for predicting coating degradation and corrosion, identifying five persistent limitations of current data-driven models. The authors ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results