A recent breakthrough is the use of artificial intelligence (AI), which learns how to manipulate atoms to improve a material’s properties.

Scientists have twisted DNA into programmable nanostructures that form themselves — and could reshape future materials for light, sound, and electronics.

The efficiency of quantum computers, sensors and other applications often relies on the properties of electrons, including ...

Control flow is the execution order of individual statements, instructions, or function calls within an imperative program. Malicious operation of control flow (e.g., tampering with normal function ...

A team of Dutch scientists at the FOM Institute for Molecular and Atomic Physics (AMOLF) in Amsterdam built a new kind of robot that can run, go over obstacles, and even swim, all driven only by ...

Scientists have created a new machine learning algorithm that can be applied to crystallography, allowing researchers to near-perfectly infer the atomic structure of nanocrystals from simple ...

100-year-old crystal mystery cracked by US scientists; could unlock next-gen batteries When only tiny, imperfect nanocrystals are available, crystallography falls short, leaving the structure of ...

This week's Java roundup for April 21st, 2025, features news highlighting: the GA release of Gradle 8.14; JBang introduces Jash, a Java library for shell scripts; the first release candidate of ...

Accurately determining atomic structures from spectroscopic data has long posed a challenge, particularly for complex systems, such as shapeless materials.

Scientists demonstrate how atomic size differences control metal catalyst structure at nanoscale, achieving major improvements in fuel cell efficiency and chemical processes.