APS Launches PRX Intelligence: An Open Access Journal for AI and Machine Learning in the Physical Sciences
The American Physical Society (APS) is launching PRX Intelligence, a highly selective open access journal focused on artificial intelligence and machine learning that move scientific research forward. Submissions open in February 2026, with article publication charges waived for all manuscripts submitted in 2026 and accepted for publication.
Built on the standards set by Physical Review X, PRX Intelligence will prioritize work with clear, lasting impact and practical value to the research community.
What PRX Intelligence Will Publish
- Research across theory, simulations, and experiments.
- Work spanning physics and related areas: computer science, mathematics, engineering, materials science, chemistry, biology, and earth and environmental sciences.
- Flexible formats: research articles, reviews, perspectives, and tutorials.
Why This Matters for Researchers
- High-visibility, open access venue aligned with scientific rigor and interdisciplinary work.
- A home for AI and ML methods that directly advance physical sciences and adjacent fields.
- Early-mover advantage: APCs waived for qualifying 2026 submissions.
Key Dates and Fees
- Submissions open: February 2026.
- Article publication charges: Waived for all manuscripts submitted in 2026 and accepted.
Editorial Leadership
The inaugural chief editor is Anatole von Lilienfeld (Clark Chair in Advanced Materials, University of Toronto; Canada CIFAR AI Chair at the Vector Institute). He is known for AI-accelerated, physics-based discovery in chemistry and materials science.
Deputy editors include Nicola Marzari (Cavendish Professor of Physics, University of Cambridge), Benjamin Nachman (Stanford University), and Ann Lee (Carnegie Mellon University). They will help guide scope, uphold standards, and ensure rigorous, fair, and timely peer review.
What to Prepare Before You Submit
- Make methods and contributions explicit: how the AI/ML approach advances science, not just benchmarks.
- Prioritize reproducibility: share code, datasets, and ablations where possible.
- Connect to physical insight: show how models interface with theory, simulations, or experiments.
- Choose the right format: tutorial or perspective for synthesis; research paper for original advances.
How It Fits Into the PRX Family
PRX Intelligence extends the open access strategy that APS established with Physical Review X and its sister titles (PRX Quantum, PRX Energy, PRX Life). The goal is to offer the same high-quality peer review and publishing experience to researchers working at the intersection of math, science, engineering, and AI/ML.
Why Submit Here
- Strong editorial team with deep coverage across physics, AI/ML, and data-driven discovery.
- Interdisciplinary scope that matches how modern labs and collaborations operate.
- Open access reach without APCs for 2026 submissions that are accepted.
For background on APS and its journals, visit aps.org. If you're building your team's AI capability ahead of submission season, explore curated training for research roles at Complete AI Training.
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