If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Large Language Models Accelerate Construction of Materials Property Databases TSUKUBA, JAPAN - January 8, 2026 (NEWMEDIAWIRE) ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

Chau, Srinivas, and Yang were among the 70 invited participants in the intensive two-day workshop on navigating early careers ...

The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

A new machine learning tool developed at Princeton will enable researchers to sift through trillions of design options to predict which metal organic framework will be useful in laboratories or ...

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.MOFs are an ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...