Global Intelligence Database
Researchers have introduced CLinNET, a multi-modal deep neural network designed to identify molecular drivers of neurocognitive disorders. By filtering out uncertain predictions, the model reportedly achieves higher precision than existing computational methods.
By Bakhshayeshi, Hosseini, Argha, Zahedi, Lovell, Alinejad‐Rokny
Researchers have identified laser scribing as a primary cause of accelerated degradation in perovskite solar modules. By introducing a specific diamine additive to regulate crystallisation, the study achieved certified record efficiencies for large-area modules.
By Xie, Fan, Li, Gong, Chu, Zhang, Zhang, Hu, Chen
As electronics shrink, managing heat is critical. New simulations reveal that at the single-molecule scale, junctions using platinum electrodes and a single benzene molecule conduct heat more effectively than those with gold or larger molecules, paving the way for cooler nano-devices.
By Martínez-Torres, Salazar, Romero-Bastida
Physicists have successfully used a magneto-spectroscopic technique to observe quantum phase interference in molecular magnets. This discovery indicates that these materials possess intrinsic geometric properties capable of protecting quantum information from environmental decay.
By Wernsdorfer, Paul, Moreno-Pineda, de Moreno, Sunil, Ruben, Garg
Researchers have developed ResTab Net, a new AI system that combines tissue images and protein data to diagnose breast cancer with 98.56% accuracy. Unlike traditional 'black box' models, this system uses explainable AI techniques to show clinicians exactly how it reaches its diagnostic conclusions.
By Jaikumar, Praveena