Global Intelligence Database
Researchers have successfully combined experimental chemistry with multivariate linear regression to decode the rules of catalyst design. By identifying the critical role of the BINOL subunit's angle, this data-driven approach challenges existing theories and promises more precise control over synthetic materials.
By Kozuszek, Sorensen, Leibfarth
Materials behave differently depending on the direction from which you approach them, a complexity described by mathematical tensors. A new deep learning framework has successfully taught AI to understand these geometric symmetries, allowing for the rapid, accurate prediction of complex material properties without expensive physics simulations.
By Yan, Lai, Chen, Zhang, Wu, Xu
Scientists have mapped a potential biological pathway connecting genetic predisposition to general intelligence. By analysing brain activity in 434 individuals, the study reveals that specific genetic profiles influence the efficiency of neural communication, which in turn shapes cognitive ability.
By Engler, Stammen, Arnau, Schneider Penate, Metzen, Digutsch, Gajewski, Getzmann, Fraenz, Reinders, Voelkle, Streit, Ocklenburg, Schneider, Burke, Hengstler, Watzl, Nitsche, Kumsta, Wascher, Genç
Early-stage research suggests that the 19th-century cyanotype process significantly improves student engagement and mastery of complex photochemistry. By merging art with physics, educators make invisible redox reactions tangible and visible.
By Camero-Arranz, Mohamed-Rodríguez