A computational method published in Cell Reports Physical Science offers a transferable way to predict how lattice strain ...

This study develops an ML-assisted approach for accelerating the discovery of HER electrocatalysts in multi-principal element ...

This study develops a high-accuracy machine-learning framework to predict and optimize metal-doped MnO2 cathodes for aqueous ...

A new breakthrough is transforming MXenes—ultra-thin, high-tech materials—into something far more powerful and precise.

Research shows that a copper(II) complex monolayer on graphene maintains strong antiferromagnetic order, key to advancing ...

While mixing materials typically leads to instability, there exists a phenomenon known as high entropy, where increasing ...

Daegu Gyeongbuk Institute of Science and Technology (DGIST) announced on the 30th that a research team led by Professor Seo ...

Discovered in 2011, MXenes are a fast-expanding family of ultra-thin inorganic materials. They are made from stacked layers of transition metals ...

While mixing materials typically leads to instability, there exists a phenomenon known as "high entropy," where increasing compositional complexity ...

The CLNB 2026 Solid-State Battery Conference was held in Suzhou in April, where experts reached a consensus that 2026-2030 will be a critical period for industrialisation. The conference focused on ...

A 3D-printed flexible potassium-ion microbattery with a conductive polymer coating delivers ultrahigh power density and ...

A team at Monash University has recorded, for the first time, the atom-by-atom rearrangements that occur when data is written ...