Nature rarely does straight lines. If you look at a forest, a rock, or a coastline, you see all sorts of shapes and chaos.

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.

Collaborative research demonstrates unprecedented degree of control over propagation of light waves to perform machine-learning computations Figure 1: (A) The fundamental unit of an artificial neural ...

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

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.

A study published in Nature Physics Jan. 14, co-led by Rice University’s Qimiao Si, brings together quantum criticality, where electrons fluctuate between different phases, and electronic topology, ...