Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

Stanford researchers have developed a flexible material that can quickly change its surface texture and colors, offering ...

How do caterpillars keep memories after dissolving into soup? How do we transform without fragmenting? A new AI architecture ...

A theoretical study reveals how functionalized crown ethers selectively capture light gadolinium isotopes, offering a cleaner, more efficient path ...

Nicola, A.A. (2026) Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies.

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite ...

Job seekers have faced a challenging year in 2025, with hiring systems driven by new artificial intelligence tools and complex application processes, according to a November report from LiveCareer. In ...

Last week, pet products and services giant Petco confirmed that it experienced a data breach involving customers’ personal information, without specifying what type of data was affected. On Friday, in ...

The Trump administration has paused all immigration applications from 19 countries it has deemed high risk, the Department of Homeland Security announced Tuesday evening, citing the shooting of two ...

A century ago, the strange behavior of atoms and elementary particles led physicists to formulate a new theory of nature. That theory, quantum mechanics, found immediate success, proving its worth ...