The Department of Energy’s Oak Ridge National Laboratory has been selected to lead three research collaborations with fusion industry partners as part of the 2025 cohort of the Innovation Network for Fusion Energy program, or INFUSE. The projects involve plasma diagnostics and advanced modeling and simulation to address challenges and create new technologies for development […]
DOE Announces $134M to Be Awarded for Fusion Energy Research
September 10, 2025 by
WASHINGTON—The U.S. Department of Energy (DOE) today announced $134 million in funding for two research programs for fusion energy technologies and innovation. A full list of projects and additional information can be found on the Fusion Energy Sciences program homepage. DOE is announcing $128 million for the Fusion Innovative Research Engine (FIRE) collaboratives. The funding was awarded to seven teams […]
LLNL Uses HPC to Push Fusion Target Design with AI
August 4, 2025 by
Researchers at Lawrence Livermore National Laboratory (LLNL) say they have reached a milestone in combining AI with fusion target design by deploying AI agents on two supercomputers to automate and accelerate inertial confinement fusion ….
HPC News Bytes 20250224: Microsoft Reports Quantum Advancement, DARPA’s Quantum Program, Harnessing GPUs on the Internet, France Claims Fusion Record
February 24, 2025 by
A good late February morning to you! Here’s a rapid (7:05) review of recent news from the world of HPC-AI, including: New in-house-manufactured Microsoft QPU ….
CEA Claims Nuclear Fusion Energy Record for Plasma Duration
February 19, 2025 by
Feb. 18, 2025 — French research organization CEA reported that on 12 February, the CEA’s WEST tokamak maintained a nuclear fusion plasma for more than 22 minutes, a 25 percent improvement over the previous record. “This leap forward demonstrates how our knowledge of plasmas and technological control of them over longer periods is becoming more […]
Power & Cooling: CEA Claims Nuclear Fusion Energy Record for Plasma Duration
February 19, 2025 by
Feb. 18, 2025 — French research organization CEA reported that on 12 February, the CEA’s WEST tokamak maintained a nuclear fusion plasma for more than 22 minutes, a 25 percent improvement over the previous record. “This leap forward demonstrates how our knowledge of plasmas and technological control of them over longer periods is becoming more […]
Breaking the ICE at Livermore: ICECap to Use Exascale Fusion Simulations for Digital Design
October 17, 2024 by
A multidisciplinary team of Lawrence Livermore National Laboratory researchers is combining the power of exascale computing with AI, advanced workflows and GPU-acceleration with the intent to advance scientific innovation and revolutionize digital design.
DOE Announces $29M for Research on ML, AI and Data Resources for Fusion Energy Sciences
August 28, 2023 by
Aug. 31, 2023 — Today, the U.S. Department of Energy (DOE) announced $29 million in funding for seven team awards for research in machine learning, artificial intelligence and data resources for fusion energy sciences. The funding is for projects lasting up to three years, with $11 million in Fiscal Year 2023 dollars and outyear funding contingent on […]
HPC User Forum to Be Held at Princeton April 18-19, Spotlight on High- and Low-Growth HPC Segments
February 6, 2023 by
Feb. 6, 2023 — HPC industry analyst firm Hyperion Research announced that the HPC User Forum will hold a conference on Tuesday and Wednesday, April 18-19, at the Princeton, NJ, Marriott at Forrestal. The conference agenda can be found here, more information and registration can be found here. Hyperion Research will provide an HPC market update […]
DOE Announces $33M Funding Opportunity for ML, AI and Data Resources for Fusion Energy Sciences
December 22, 2022 by
The DOE SC program in Fusion Energy Sciences (FES) has announced its interest in applications in the areas of machine learning (ML), artificial intelligence (AI) and data resources for fusion energy and plasma sciences. The goal of this FOA is to support multi-disciplinary teams aiming to apply advanced and autonomous algorithms to address high-priority research […]
