Matt Nerzig

Introducing the future of AI-powered scientific discovery! OPAL project combines agentic #AI, robotics, automation, and shared data infrastructure to accelerate research to move science to real-world applications faster. Learn more: opal-doe.org @argonne @ORNL @PNNLab

"@NVIDIAAI's Ising Calibration AI Model, which we're using @BerkeleyLab, is at the forefront of integrating #quantum & #AI," says Bert de Jong. "It allows us to accelerate the continuous calibration of our quantum computers & improve their performance." interestingengineering.com/ai-robotics/nv…

"We’re going to celebrate completion of the 3D map of the #universe and then churn through the data, because we’re all curious about what new surprises are waiting for us," says @BerkeleyLab's Michael Levi discovermagazine.com/desi-exceeds-e…

“The @desisurvey is still the leading instrument like it in the world,” says @berkeleylab's David Schlegel. It completed its initial 5-year survey and mapped 47 million galaxies and quasars. The experiment will continue observations into 2028. newscientist.com/article/252000…

“High-temperature measurements are critical for #geothermal energy production," said @berkeleylab's Nori Nakata. "Achieving round-the-clock monitoring of enhanced geothermal operations is needed to help unlock the potential of geothermal power."  newscenter.lbl.gov/2026/04/06/sci…

“This unprecedented simulation is a critical step forward to accelerate the design and development of #quantum hardware. More powerful quantum chips will unlock new capabilities and open up new avenues in science,” says @berkeleylab's Bert de Jong. interestingengineering.com/innovation/700…

“The A-Lab can process up to 100 times as many samples as a human can and pare down paths for further investigation with #AI. It’s intended to iterate rapidly, the way scientists operate.” — Gerbrand Ceder, Berkeley Lab & @UCBerkeley labmanager.com/ai-and-automat…

Breaking new ground in quantum computing: Over 7,000 @NVIDIA GPUs on @NERSC's Perlmutter supercomputer have powered an advanced multilayer quantum-chip simulation, giving researchers the tools to fine-tune quantum hardware before it’s even built! newscenter.lbl.gov/2025/11/17/unp…

"#AI will increase the productivity of scientists," says @BerkeleyLab 's Jonathan Carter. "The only debate is, by how much: Is it by a factor of 10 or 1,000?” mercurynews.com/2025/12/07/bay…

“What is really exciting is that this opens the door to the next generation of atom-at-a-time chemistry studies," says @berkeleylab's Jennifer Pore. “I think we’re going to completely change how superheavy-element chemistry is done.” chemistryworld.com/news/ai-contin…

“Is there some really new physics? It appears that it’s likely.” – Saul Perlmutter, @NobelPrize winning astrophysicist from @BerkeleyLab and @UCBerkeley. nytimes.com/2026/01/09/sci…

“Creation of a new element is an extremely rare feat. It’s exciting to be a part of the process and to have a promising path forward,” says @berkeleylab's Jackie Gates bbc.com/audio/play/p0m…

"If you want to make meaningful predictions about microbes and plants, especially with future #AI models, you need clean, consistent datasets," says @berkeleylab's Vlastimil Novak. "EcoFABs provide exactly that." phys.org/news/2026-01-g… via @physorg_com

“To be successful, machine learning programs need access to large amounts of high-quality, well-curated data,” says @BerkeleyLab’s Kristin Persson. “With its massive repository of curated data, the Lab’s Materials Project is #AI ready.” - hpcwire.com/bigdatawire/20…

"Every time we looked at the X-ray image, it surprised us," said @berkleylab's Hai-En Tsai. "The simulations were very different from what we actually saw." yahoo.com/news/articles/… via @YahooNews @LBNLatap @umich

"We're building an #AI-platform to accelerate discoveries essential to microelectronics, biomedical development, advanced manufacturing, and energy security." — Alex Hexemer, Berkeley Lab senior scientist and SYNAPS-I lead point of contact #GenesisMission newscenter.lbl.gov/2026/02/02/how…

“FORUM-AI aims to be the first full-stack, agentic #AI system for materials science research and discovery,” says @BerkeleyLab's Anubhav Jain. “It will help scientists at every step of energy materials research.” labmanager.com/doe-launches-a…

“The goal is to understand the limits — how far can #AI go beyond its training data and the existing solutions it finds online?” asks Dr. Tamara Kolda. nytimes.com/2026/02/07/sci…

“Dual-probe experiments at @BerkleyLab's BELLA Center have achieved unprecedented precision in inertial confinement #fusion, which could help solve engineering challenges in developing #fusion," says @LBNLatap BELLA Research Scientist, Hai-En Tsai. photonics.com/Article.aspx?A…

"Noise is one of the biggest barriers to the widespread adoption of near-term quantum computers," says @berkeleylab's Antonin Sulc. "We face a choice: wait for perfect hardware or design smarter software." @QuantumStateX