{"id":8,"date":"2025-02-13T16:00:28","date_gmt":"2025-02-13T16:00:28","guid":{"rendered":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/?page_id=8"},"modified":"2026-01-09T16:03:56","modified_gmt":"2026-01-09T15:03:56","slug":"homepage","status":"publish","type":"page","link":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/","title":{"rendered":"Homepage"},"content":{"rendered":"\n
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AI and Theoretical Physics<\/h2>\n\n\n\n

Theoretical physics relies on numerical methods, for example first-principle simulations of complex systems; and modern numerics leads us directly to scientific AI. Conversely, theoretical physics can describe neural networks as complex systems and analyze latent representations in terms of effective theory and advanced geometry. Both directions combined define our research program bridging AI and theoretical physics<\/a> at Heidelberg University<\/a>.<\/p>\n<\/div>\n\n\n\n

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Groups<\/h2>\n\n\n\n

The AITP core groups work in their respective fields of physics using AI methods full time. We cover a wide range of physics, where each group combines their theoretical physics expertise with a scientific AI methodology. The AITP groups benefit from an inspiring environment of theoretical physics groups with a broad numerical methodology, as well as scientific AI groups beyond theoretical physics, with no limit to exciting synergies and collaborations.<\/p>\n\n\n\n

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Tristan Bereau<\/h3>\n\n\n\n

Soft-Matter Theory<\/strong><\/p>\n\n\n\n

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Anja Butter<\/h3>\n\n\n\n

LHC Phenomenology<\/strong><\/p>\n\n\n\n

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Sascha Diefenbacher<\/h3>\n\n\n\n

LHC Physics<\/strong><\/p>\n\n\n\n

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Caroline Heneka<\/h3>\n\n\n\n

Astrophysics & Cosmology<\/strong><\/p>\n\n\n\n

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Tilman Plehn<\/h3>\n\n\n\n

Particle Theory<\/strong><\/p>\n\n\n\n

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AI and Physics<\/h2>\n\n\n\n

Our scientific AI program at the Institute for Theoretical Physics is part of a much broader Heidelberg effort. Many groups at the ITP<\/a>, the IWR<\/a>, and beyond are applying scientific AI to, broadly speaking, physics problems:<\/p>\n\n\n\n

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Tobias Buck<\/h3>\n\n\n\n

Astrophysics<\/strong><\/p>\n\n\n\n

Centre for Astronomy of Heidelberg University (ZAH) and Interdisciplinary Center for Scientific Computing (IWR)<\/p>\n\n\n\n

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Fred Hamprecht<\/h3>\n\n\n\n

Scientific AI<\/strong><\/p>\n\n\n\n

Interdisciplinary Center for Scientific Computing (IWR)<\/p>\n\n\n\n

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J\u00fcrgen Hesser<\/h3>\n\n\n\n

Modeling in Medicine<\/strong><\/p>\n\n\n\n

Institute for Intelligent Systems in Medicine (MIISM)<\/p>\n\n\n\n

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Ralf Klessen<\/h3>\n\n\n\n

Star Formation<\/strong><\/p>\n\n\n\n

Centre for Astronomy of Heidelberg University (ZAH)<\/p>\n\n\n\n

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Ullrich K\u00f6the<\/h3>\n\n\n\n

Explainable AI<\/strong><\/p>\n\n\n\n

Interdisciplinary Center for Scientific Computing (IWR)<\/p>\n\n\n\n

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Viktor Ksoll<\/h3>\n\n\n\n

Star Formation<\/strong><\/p>\n\n\n\n

Centre for Astronomy of Heidelberg University (ZAH)<\/p>\n\n\n\n

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Jan Pawlowski<\/h3>\n\n\n\n

Strongly Correlated Systems<\/strong><\/p>\n\n\n\n

Institute for Theoretical Physics (ITP)<\/p>\n\n\n\n

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Annalisa Pillepich<\/h3>\n\n\n\n

Numerical Cosmology<\/strong><\/p>\n\n\n\n

Max Planck Institute for Astronomy (MPIA)<\/p>\n\n\n\n

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Carsten Rother<\/h3>\n\n\n\n

Computer Vision<\/strong><\/p>\n\n\n\n

Interdisciplinary Center for Scientific Computing (IWR)<\/p>\n\n\n\n

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Bj\u00f6rn Malte Sch\u00e4fer<\/h3>\n\n\n\n

Cosmology & Statistics<\/strong><\/p>\n\n\n\n

Centre for Astronomy of Heidelberg University (ZAH)<\/p>\n\n\n\n

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Scientific AI in Heidelberg<\/h2>\n\n\n\n

In and beyond physics, scientific AI is rapidly shaping research across disciplines. In Heidelberg, an ecosystem of initiatives explores scientific AI. Working together improves our research and our student training far beyond what individual groups could ever achieve.<\/p>\n\n\n\n

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STRUCTURES Cluster of Excellence <\/h5>\n\n\n\n
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Interdisciplinary Center for Scientific Computing – IWR <\/h5>\n\n\n\n
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European Laboratory for Learning and Intelligent Systems – ELLIS Heidelberg<\/h5>\n\n\n\n
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Scientific Machine Learning Initiative – MLAI <\/h5>\n\n\n\n
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Center for Digital Humanities – HCDH <\/h5>\n\n\n\n
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Heidelberg-Mannheim AI Health Innovation Cluster – AIH<\/h5>\n\n\n\n
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AI and Theoretical Physics Theoretical physics relies on numerical methods, for example first-principle simulations of complex systems; and modern numerics leads us directly to scientific AI. Conversely, theoretical physics can describe neural networks as complex systems and analyze latent representations in terms of effective theory and advanced geometry. Both directions combined define our research program […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-no-title","meta":{"footnotes":""},"class_list":["post-8","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/pages\/8","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/comments?post=8"}],"version-history":[{"count":512,"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/pages\/8\/revisions"}],"predecessor-version":[{"id":3356,"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/pages\/8\/revisions\/3356"}],"wp:attachment":[{"href":"https:\/\/www.thphys.uni-heidelberg.de\/aitp\/wp-json\/wp\/v2\/media?parent=8"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}