(Press-News.org) Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To meet the needs of this fast-growing research community, the American Physical Society is launching PRX Intelligence, a highly selective open access journal that will welcome manuscripts on AI and machine learning methods and their application to advance scientific understanding. The journal will accept submissions starting February 2026.
“The speed and scale of innovation happening in the scientific machine learning and AI space has been explosive. We’re excited to support these innovations by providing a new high-impact, open access platform for work that is fundamental to the future of science and society,” said Rachel Burley, APS’ chief publications officer.
Building on the foundation of excellence set by Physical Review X, the world’s leading open access multidisciplinary physics journal, PRX Intelligence will publish high-quality articles anticipated to have outstanding and lasting impact. Its scope will cover theory, simulations, and experiments in physics and related fields, including computer science, mathematics, engineering, materials science, chemistry, biology, and earth and environmental sciences.
With flexible article formats and lengths, PRX Intelligence will publish research papers, reviews, perspectives, and tutorials. The American Physical Society will waive article publication charges for all manuscripts submitted in 2026 and subsequently accepted for publication.
“In response to recent growth in multidisciplinary research, we have expanded the scope and reach of the Physical Review journals with high-impact open access titles like PRX Quantum, PRX Energy, and PRX Life,” said Jeff Lewandowski, APS’ director of publishing. “With PRX Intelligence, our goal is to bring the same high-quality peer review and publishing experience to researchers working on topics where math, science, and engineering intersect with AI, machine learning, and related approaches.”
The journal’s inaugural chief editor is Anatole von Lilienfeld, the Clark Chair in Advanced Materials and professor at the University of Toronto and a Canada CIFAR AI Chair at the Vector Institute. von Lilienfeld is a leading figure in AI-accelerated, physics-based discovery across chemistry and materials science. As chief editor, he will shape the direction of PRX Intelligence, oversee peer review, manage the journal's editorial team, and engage with the physics-oriented AI and machine learning research communities.
Joining von Lilienfeld on the journal’s editorial leadership team are Nicola Marzari, the Cavendish Professor of Physics at the University of Cambridge; Benjamin Nachman, associate professor at Stanford University; and Ann Lee, professor at Carnegie Mellon University, as deputy editors. Each deputy editor will act as the chief editor’s principal partner to support the journal’s broad, cross-disciplinary coverage and uphold its rigorous, fair, and timely peer review process. Along with helping set and uphold editorial standards and guiding the journal’s associate editors, the deputy editors will also build connections with leading AI and machine learning researchers.
“I look forward to working with the editorial team to champion rigorous, impactful research at the intersection of machine learning, AI, and the physical sciences,” said von Lilienfeld. “By connecting researchers, practitioners, and engineers interested in AI and machine learning, our goal is to support the communities that could foster cross-disciplinary collaborations, potentially leading to cutting-edge scientific discoveries.”
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The American Physical Society is a nonprofit membership organization working to advance physics by fostering a vibrant, inclusive, and global community dedicated to science and society. APS represents more than 50,000 members, including physicists in academia, national laboratories, and industry in the United States and around the world.
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