Office of Science Programs

Improving Large-Scale Domestic Production of Americium-241, a Critical Component in Smoke Detectors and Nuclear Batteries

Researchers explore the effects of radiation and harsh chemicals to optimize americium-241 production.

Artificial intelligence algorithms used to tune particle accelerators

Emergent Device Boosts Neuromorphic Computing

Researchers open a new avenue for future brain-inspired computer hardware.

AI algorithms deployed on-chip reduce power consumption of deep learning applications

Brain-inspired algorithm on neuromorphic hardware reduces cost of learning

Filling in the Cracks: Scientists Improve Predictions for the Dissolution of Minerals in Rock Fractures

A new correction factor for predicting dissolution rates uses measurable geological properties in fractured media.

Deep Learning Model Overcomes the Challenge of Real-World Measurements of Isotope Production Target Cooling Systems

Researchers develop a framework to predict subcooled flow boiling and critical heat flux.

Novel Hardware Approach Produces a New Quantum Computing Paradigm

New theoretical approach to quantum computing hardware design via an algorithm avoids some of the complex difficulties in modern quantum computers.

Infrared Quantum Ghost Imaging Illuminates—But Doesn’t Disturb—Living Plants

Quantum ghost imaging of live plants at light levels lower than starlight gives new perspectives on plant processes.