New approach improves accuracy of quantum chemistry simulations using machine learning A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials science studies.
https://phys.org/news/2025-09-....approach-accuracy-qu

New approach improves accuracy of quantum chemistry simulations using machine learning A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials science studies.
https://phys.org/news/2025-09-....approach-accuracy-qu

Turning materials data into AI-powered lab assistants As the volume of scientific literature continues to grow, researchers are turning to artificial intelligence to sift through millions of research papers and uncover insights that can accelerate the discovery of new materials.
https://phys.org/news/2025-09-....materials-ai-powered

Electrochemistry enables upcycling of polymer waste into high-performance materials The superior strength and light weight of high-performance carbon and plastic composite materials have reduced the fuel consumption and harmful emissions of automobiles and airplanes and improved the efficiency of electric cars and wind turbine blades. But those same superior qualities make these indispensable materials difficult to recycle.
https://phys.org/news/2025-09-....electrochemistry-ena

Boron replaces metal by forming complexes with olefins, reducing toxicity and cost When it comes to eliminating toxic and expensive heavy metals in the chemical industry, a new study from the University of Würzburg points the way forward.
https://phys.org/news/2025-09-....boron-metal-complexe