This research was published in the journal Science Advances.Discovery of flat-band 2D materials via physics-informed scoring ...

A new study proves individual human cortical neurons have the computational complexity of an entire deep artificial neural ...

Fusion energy has always had a tritium problem. The fuel that powers every leading reactor design barely exists on Earth in usable quantities, and the best candidate for breeding it inside a reactor — ...

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...

IBM, ORNL and Cleveland Clinic used quantum computing to model tritium-producing molten salts for fusion energy—see the ...

The shape of biological structures, ranging from flower petals to the limbs or organs of animals, is often naturally best ...

A bolted connection rarely gets the attention a beam or slab gets. On the drawing, it looks simple. In the bill of materials, it’s one line. That mismatch is why several of the most famous structural ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

In recent years, the integration of computational and machine learning techniques has dramatically advanced our understanding of protein function and engineering. As proteins underpin virtually every ...

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model's (LLM) reasoning and even intervene to fix its ...