April 2024   |   Computer Science, New Faces

Holistic computing

University of Maryland DOE Early Career researcher explores flexible, dynamic architectures for high-performance computers.

Nanomaterials, Quantum
April 2024

Quanta in bulk

A USC computer scientist wants to produce quantum materials at scale, with help from Argonne supercomputers.

Astrophysics, Exascale
March 2024

Aiming exascale at black holes

Computation reveals  details about how matter falling into these massive cosmic objects and the energy released from them affect the universe’s evolution.

Combustion, Exascale
February 2024

Flying green

DOE researchers’ simulations on Oak Ridge’s Frontier exascale computer may bring carbon-neutral aviation closer to reality.

Science Highlights

January 2024

AI sifts for promising nanomaterials

The method shows promise for detailed exploration of novel materials, including quantum materials.

Two-dimensional materials just a few atoms thick have special quantum mechanical properties. What often makes these materials special: their defects. But there are a huge number of potential defects, and they aren’t all useful. To sift for useful defects, researchers have developed an automated method to analyze an important part of the 2D materials puzzle: how matter interacts with electromagnetic radiation. The method combines scanning tunneling microscopy with AI to map atomic and electronic features.

The method opens the door to the detailed exploration of novel materials, including quantum materials. The techniques and software could be extended to other techniques in scanning probe microscopy. The researchers have summarized the method in a user-friendly, open access, and tailorable software package.

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