Two recent developments in artificial intelligence (AI) and machine learning have the potential to accelerate product development by streamlining materials research. Israel-based MaterialsZone, a ...

In the age of digital transformation, machine learning (ML) is rapidly becoming a pivotal technology in various sectors. One of its most exciting applications is in the field of advanced materials ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

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

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...

By demonstrating the power of machine learning to overcome experimental limitations for data, the work overcomes a long-standing challenge in quantum materials research, clearing the path for faster ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Thought LeadersDr. Nikhil Gupta & Dr. Kaushik YanamandraProf. of Mechanical and Aerospace Engineering & Applications Development EngineerNew York University & ZEISS Microscopy In this interview, ...