Physicists at Bielefeld University and the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden) ...

Many industrial products—from car bumpers to aerospace panels and medical implants—owe their performance to lightweight, ...

Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

The Helfrich theory of membrane bending, supported by molecular dynamics simulations, is a promising approach for evaluating ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

This discovery challenges conventional thinking in quantum materials research and could serve as a foundation for the development of multifunctional quantum devices. “This is the first direct ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

New York-based Aircela unveils refrigerator-size device that converts air and water into fossil-free gasoline, with initial deployments planned for 2025.

Recentive’s four asserted patents involved software for generating event schedules and network maps using machine learning models trained on historical data.

Today, most vehicles track acceleration using GPS and traditional, or “classical,” electronic devices known as accelerometers. The team’s quantum device has a long way to go before it can compete with ...

Genetic material shed by tumors can be detected in the bloodstream three years prior to cancer diagnosis, according to a study led by investigators at Johns Hopkins University. The study, partly ...