Global Intelligence Database
Researchers have developed an AI-driven framework that dramatically accelerates molecular simulations. By replacing the standard nudged elastic band method, this preliminary study suggests scientists could reduce weeks of computing time down to mere days.
By Kakhandiki, Chitturi, Ratner, Gasiorowski
Researchers have developed a new method to help artificial intelligence agents learn more efficiently by giving them a sense of curiosity. The technique uses a graph neural network to map out the agent's environment, rewarding it for exploring novel or less-visited areas, which significantly accelerates its learning process.
By Pandian, Thirunavukarasu, Nagarajan
Researchers have enhanced pure water-fed anion exchange membrane electrolysis by covalently anchoring catalysts within a polymer network. This 'cross-linked' structure prevents component separation, enabling over 1,800 hours of stable hydrogen production.
By Song, Liu, Guan, Ding, Bai, Nie, Wang, Wu, Ge, Xu
Electron spin qubits in silicon show immense promise for quantum computing, yet 'valley states' frequently interfere with their fidelity. A new study on an Intel-manufactured device reveals that microscopic disorder in the alloy dictates these energy splits across significant distances. Understanding these correlations is vital for scaling up to complex, many-qubit systems.
By Marcks, Eagen, Brann, Losert, Oh, Reily, Wang, Keith, Mohiyaddin, Luthi, Curry, Zhang, Heremans, Friesen, Eriksson