Understanding what complex chemical measurements reveal about materials and reactions can take weeks or months of analysis. But now, an AI-powered platform developed by researchers at the Department ...
Linlin Sun and Xia Zheng of AFD China Intellectual Property Law Office cite two key Chinese Supreme People’s Court cases to clarify the conditions under which supplementary experimental data is ...
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
A ruling on the inventiveness of a compound patent for a prostate cancer therapeutic could help create uniform jurisprudence regarding the examination of pharmaceutical patents, says Guan Yue of ...
Severe accidents in nuclear reactors, though low-probability events, pose significant risks to human safety, the environment, and public trust in nuclear ...
Strategies for Successful Integration of Computational and Empirical Data for Protein Drug Discovery
Modern protein drug discovery relies on successfully integrating computational predictions and experimental data. As the volume and complexity of both predicted and empirical data continues to grow, ...
High-temperature fusion plasma experiments conducted in the Large Helical Device (LHD) of the National Institute for Fusion Science (NIFS), have renewed the world record for an acquired data amount, 0 ...
Research shows that 77 percent of lab professionals now use public AI tools alongside their ELN. For many, this is not driven by policy decisions, but by necessity. Governed tools do not yet support ...
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