<ul data-eligibleForWebStory="true"><li>Advances in artificial intelligence (AI) are driving new discoveries in natural sciences by enhancing our understanding of natural phenomena across various scales.</li><li>AI for science (AI4Science) is an emerging interdisciplinary research paradigm focused on applying AI to natural sciences.</li><li>This work provides a detailed account of AI for quantum, atomistic, and continuum systems, aiming to understand phenomena across different scales.</li><li>The subareas of quantum, atomistic, and continuum systems share common challenges, such as capturing physics first principles using deep learning methods.</li><li>Techniques to achieve equivariance to symmetry transformations and address technical challenges like explainability and uncertainty quantification are discussed.</li><li>Resources for learning and education in AI for science are categorized to facilitate further understanding and community interest in the field.</li></ul>

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

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