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Welcome to AI4Science

2026 International Conference on Artificial Intelligence for Science 

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☀ About AI4Science


2026 International Conference on Artificial Intelligence for Science (AI4Science 2026) is a premier forum bringing together AI researchers, domain scientists, engineers, and industry practitioners to advance the use of artificial intelligence across the natural and social sciences. The conference emphasizes bidirectional impact: (1) how AI methods unlock new scientific discoveries, simulations, and instruments; and (2) how scientific principles, data, and constraints drive the next generation of reliable, interpretable, and efficient AI. AI4Science features a single-track main program, workshops, tutorials, a datasets/benchmarks track, demos, a doctoral consortium, and a reproducibility & artifacts initiative. The aims of AI4Science include comprehensive coverage of foundational and applied AI that advances scientific inquiry across disciplines; rigor and reproducibility through principled modeling, uncertainty quantification, data governance, and transparent evaluation; cross-disciplinary collaboration by connecting AI method developers with scientists, instrument builders, and HPC communities; real-world impact via open datasets, benchmarks, and deployable systems for laboratories, observatories, and policy settings.


Committee

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October 23-25, 2026

Conference Dates

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May 10, 2026

Full Paper Submission Deadline

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July 10, 2026

Notification of Acceptance

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August 10, 2026

Final Paper Submission Deadline

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September 10, 2026

Paper Registration Deadline

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CFP

Topics


The conference welcomes original research articles, short papers, surveys, system papers, and demos on a broad range of topics in AI technologies for science and from science, including but not limited to:


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AI Foundations for Science

Scientific machine learning; 

physics-, chemistry-, and biology-informed learning,Causality, mechanistic models,  ...

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AI Technologies and Tools

Data management & curation; 

lab automation; 

autonomous agents for experiments, ...

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 AI for the Physical Sciences

Physics, astronomy, cosmology, HEP/NP, plasma & fusion, materials science;

Inverse problems, instrument control, detector/beamline optimization, ...

More

Publication

 Publication


All submissions must follow the AI4Science template (LaTeX/Word, to be released). Submissions will be reviewed by at least three reviewers. Accepted papers will appear in the AI4Science Proceeding (apply for IEEE) and selected works will be invited to journal special issues.



Policies: No dual submission, plagiarism, or AI-generated text without disclosure; ethical approval and data consent where applicable; code/data release strongly encouraged.


Supported by
赞助商板块居中

Sponsors


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