AI Searched 150 Million Materials – and Found Two Promising Candidates for Future Electronics

Researchers at Seoul National University used artificial intelligence to screen about 150 million virtual compositions, built from a dataset of 1,202 records from 448 papers, and identified two promising candidate materials for future multilayer ceramic capacitors (MLCCs) and electric vehicle electronics.

Researchers built a dataset of 1,202 records from 448 papers and screened about 150 million virtual compositions to identify potential materials for future MLCCs and electric vehicle electronics. Finding a new electronic material can mean searching through an almost limitless number of possible chemical combinations. Researchers at Seoul National University have used artificial intelligence to ...