Matt Nerzig

Lifelong talking head. On Twitter to listen - mostly. Interests include science, politics & sports. Tweets are mine alone. #science #democracy #goblue #yankees

[Berkeley Lab @BerkeleyLab]

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: https://t.co/3KAi0M8yce
@argonne @ORNL @PNNLab

[Berkeley Lab Press @LBNLpress]

"@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." https://t.co/N9ufEMl5wv

[Berkeley Lab Press @LBNLpress]

"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 https://t.co/KpgYxk3AV5

[Berkeley Lab Press @LBNLpress]

“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. https://t.co/6K30NGNci0

[Berkeley Lab Press @LBNLpress]

“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."  https://t.co/urHnglWsbn

[Berkeley Lab Press @LBNLpress]

“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. https://t.co/37jNJmEIbq

[Berkeley Lab @BerkeleyLab]

“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 https://t.co/duUpMCbPTi

[Berkeley Lab @BerkeleyLab]

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! https://t.co/PGScJJwpIz

[Berkeley Lab Press @LBNLpress]

"#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?” https://t.co/4g3db4O02B

[Berkeley Lab Press @LBNLpress]

“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.” https://t.co/IFXLBN53M9

[Berkeley Lab Press @LBNLpress]

“Is there some really new physics? It appears that it’s likely.” – Saul Perlmutter, @NobelPrize winning astrophysicist from @BerkeleyLab and @UCBerkeley. https://t.co/YT5zoRvnFe

[Berkeley Lab Press @LBNLpress]

“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 https://t.co/YMlO9kijAo

[Berkeley Lab Press @LBNLpress]

"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." https://t.co/UDG2XSEi2B via @physorg_com

[Berkeley Lab Press @LBNLpress]

“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.”
- https://t.co/XhoRE6z781

[Berkeley Lab Press @LBNLpress]

"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."
https://t.co/nwcrmwq8Bw via @YahooNews @LBNLatap @umich

[Berkeley Lab @BerkeleyLab]

"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 https://t.co/oSpPWvhHME

[Berkeley Lab Press @LBNLpress]

“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.” https://t.co/QiHPGcX3Ut

[Berkeley Lab Press @LBNLpress]

“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. https://t.co/AfEXgzWzVH

[Berkeley Lab Press @LBNLpress]

“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. https://t.co/9PcYZvbBZx

[Berkeley Lab Press @LBNLpress]

"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