In lithium processing, advanced mixing technologies — applied across the crystallization, carbonization and decomposition steps — can serve as critical enablers in meeting efficiency, scalability and ...
Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...
3don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals and design of functional materials. In pharmaceuticals, crystal structures ...
Researchers have successfully developed a rapid and scalable evaporation-induced method to create continuous, uniform thin ...
Abstract: Commuting has become routine for a significant number of individuals as they traverse the distance between their residences and workplaces daily. In bustling cities and urban areas, a lot of ...
Abstract: This paper discusses the problem of forming a data set for training a neural network used to build a model of a multi-section conveyor. The analysis of the models, which are used by ...
State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), Department of Chemistry, College of Chemistry and Chemical ...
An approach for making nanoscale high-entropy alloys using liquid metal provides much-needed control over the structure and composition of these remarkable materials. Yunqing Kang is in the Department ...
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