In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial intelligence (AI), has increased exponentially, creating a serious social ...

Researchers built an AI materials map uniting experimental and computational data, guiding faster, more accurate material selection for diverse applications. (Nanowerk News) Selecting the right ...

A research team has delivered an overview of how computational tools are reshaping the design of nonnatural metabolic pathways—engineered biochemical routes that do not exist in nature but enable ...

Data‑analysis workflow. Experimental and computational datasets are unified; crystal‑structure graphs, deep learning, and dimensionality reduction yield the materials map. Selecting the right material ...