Researchers at the University of Chicago and Argonne National Laboratory investigated how generative AI is currently used 鈥� and how it could be used in the future 鈥� to support national laboratories and similar institutions.
Researchers at Argonne National Laboratory are transforming cancer research by using AI and supercomputing to accelerate drug discovery and improve drug response predictions.
The TESSERACT experiment is using highly sensitive superconducting detectors to explore new regions of low-mass dark matter, potentially uncovering new fundamental forces and advancing quantum computing technologies.
Lin Gao, postdoctoral researcher in Argonne鈥檚 Nuclear Science and Engineering division, has received the 2025 Rosalind Franklin Young Investigator Award from the APS Users Organization.
Upgrades and new research at Argonne National Laboratory are helping physicists push boundaries, from basic science to the development of new technologies.
Argonne鈥檚 Advanced Photon Source can detect and correct for influences as small as the Earth tide. This subtle effect showcases the impressive sensitivity and precision of the facility鈥檚 alignment system.
Two Argonne scientists, Karen Mulfort and Di-Jia Liu, have been elected as Fellows of the American Association for the Advancement of Science for achievements in their field.
New technology could prove effective in nuclear fuel recycling and other metal recovery processes.
Argonne researchers have shown that they can use light to temporarily alter the crystal symmetry within lead sulfide quantum dots. This process reduces the off-centering of lead atoms and affects the electronic properties of the quantum dots.
Argonne researchers used the lab鈥檚 Aurora exascale supercomputer to perform large-scale simulations of the universe, providing a testing ground to investigate Dark Energy Spectroscopic Instrument鈥檚 potentially game-changing observations of dark energy.
The 1,000 Scientist AI Jam brought together DOE researchers at Argonne and eight other labs to explore models from OpenAI and Anthropic and understand AI鈥檚 potential to accelerate discoveries in energy, materials science, medicine and more.
Daniel Haskel of the lab鈥檚 Photon Sciences directorate has been selected to represent Argonne in the 2025 cohort of DOE鈥檚 Oppenheimer Science and Energy Leadership Program (OSELP).
A team of scientists in the lab of Nobel Prize winner David Baker has created a method for designing proteins that can bind and sense a range of small molecules, with wide applications for biomedicine and environmental protection.
Protein crystallization at the SER-CAT beamline at Argonne鈥檚 Advanced Photon Source proved key to the discovery of a new HIV vaccine candidate.
Argonne National Laboratory announced Xander Newlun from the University of Texas at San Antonio won the 2025 Conquer the Hill庐 Command competition.
What is of quantum coherence and how it is used for quantum sensing and quantum computing applications?
Using a novel surface-sensitive spectroscopy method, scientists explored atomic vibrations in crystalline material surfaces near interfaces. The findings illuminate quantum behaviors that play important roles computing and sensing technologies.
Researchers at Argonne National Laboratory have developed an AI-driven automated material laboratory, Polybot, an autonomous discovery platform that explores processing pathways to produce high-quality electronic polymer films with optimized conductivity and low-defect coatings, offering practical guidance for scalable production.
Researchers at Argonne have discovered that superconducting nanowire photon detectors can also be used as highly accurate particle detectors, and they have found the optimal nanowire size for high detection efficiency.
Researchers at Argonne have discovered that superconducting nanowire photon detectors can also be used as highly accurate particle detectors, and they have found the optimal nanowire size for high detection efficiency.
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