{"id":1752,"date":"2026-07-13T05:53:28","date_gmt":"2026-07-13T05:53:28","guid":{"rendered":"https:\/\/www.peter-zaspel.de\/?page_id=1752"},"modified":"2026-09-19T21:21:17","modified_gmt":"2026-09-19T21:21:17","slug":"projects","status":"publish","type":"page","link":"https:\/\/www.peter-zaspel.de\/?page_id=1752","title":{"rendered":"Projects"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>DFG project \u201cMFML-OT \u2013 Multi-Fidelity Machine Learning for Orthogonal Translation\u201d<\/strong> (duration 2027-2029)<br><em>Research project within the DFG SPP 2546 \u201cArtificial Intelligence for Protein Function\u201d (joint project with Mehdi D. Davari, Leibniz Institute of Plant Biochemistry, Halle, and Michael A. Nash, University of Basel \/ ETH Zurich)<\/em><\/li>\n\n\n\n<li><a href=\"https:\/\/gepris.dfg.de\/project\/562109601\"><strong>DFG project &#8220;ICEBAY &#8211; Temperature reconstruction combining boreholes thermometry and ice-cores with Bayesian hierarchical modelling &#8211; Global warming vs. natural variability in DML, Antarctica&#8221;<\/strong> (duration: 2026-2028)<br><\/a><em>Research project within the DFG SPP 1158 &#8220;Antarctic Research&#8221; (joint project with Thomas Laepple, Alfred Wegener Institut, Potsdam)<\/em><\/li>\n\n\n\n<li><a href=\"https:\/\/gepris.dfg.de\/project\/496900167\"><strong>DFG project &#8220;Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes&#8221;<\/strong> (duration 2026-2029)<\/a><br><em>Research project within the second phase of the DFG SPP 2363 &#8220;Utilization and Development of Machine Learning for Molecular Applications \u2013 Molecular Machine Learning&#8221; (joint project with Ulrich Kleinekath\u00f6fer, Physics, Constructor University Bremen)<\/em><\/li>\n\n\n\n<li><a href=\"https:\/\/crc1701.uni-wuppertal.de\/de\/research\/project-area-c-optimization-with-ph-systems\/project-c03\/\"><strong>DFG subproject &#8220;Data-driven surrogate modelling for differential-algebraic port-Hamiltonian systems&#8221; (C03)<\/strong> (duration: 2025-2028)<\/a><br><em>Subproject of the CRC 1701 &#8220;Port-Hamiltonian Systems&#8221; (co-PI together with Michael G\u00fcnther)<\/em><\/li>\n\n\n\n<li><a href=\"https:\/\/crc1701.uni-wuppertal.de\/de\/research\/benchmark-platform-for-phs\/\"><strong>DFG subproject &#8220;Benchmark platform for port-Hamiltonian systems&#8221; (S)<\/strong> (duration: 2025-2028)<br><\/a><em>Subproject of the CRC 1701 &#8220;Port-Hamiltonian Systems&#8221; (co-PI together with Hanno Gottschalk)<\/em><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Finished projects<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.mardata.de\/research\/mardata-2nd-cohort-2021-2024\/digital-ice-cores-paleo-climate-reconstruction-using-bayesian-modeling\/\"><strong>MarDATA project \u201cDigital Ice Cores: Paleo-Climate reconstruction using Bayesian methods\u201d<\/strong> (duration: 2023-2026)<\/a><br><em>Helmholtz School for Marine Data Science (joint project with Thomas Laepple, Alfred Wegener Institute &amp; U. Bremen)<\/em><\/li>\n\n\n\n<li><a href=\"https:\/\/www.uni-muenster.de\/SPP2363\/Projects\/projects.html\"><strong>DFG project &#8220;Multi-fidelity, Active Learning Strategies for Exciton Transfer Among Adsorbed Molecules&#8221;<\/strong> (duration 2022-2026)<\/a><br><em>Research project within the first phase of the DFG SPP 2363 &#8220;Utilization and Development of Machine Learning for Molecular Applications \u2013 Molecular Machine Learning&#8221; (joint project with Ulrich Kleinekath\u00f6fer, Physics, Jacobs University Bremen)<\/em><\/li>\n\n\n\n<li><a href=\"https:\/\/www.mardata.de\/research\/mardata-2nd-cohort-2021-2024\/bayesian-chronology-modelling-for-paleoclimate-archives\/\"><strong>MarDATA project &#8220;Bayesian Chronology Modelling for Paleoclimate Archives&#8221;<\/strong> (duration: 2022-2026)<br><\/a><em>Helmholtz School for Marine Data Science (joint project with Florian Adolphi, Alfred Wegener Institute)<\/em><\/li>\n\n\n\n<li><a href=\"https:\/\/gepris.dfg.de\/gepris\/projekt\/466761712\"><strong>DFG project &#8220;Excitation Energy Transfer in a Photosynthetic System with more than 100 Million Atoms&#8221; <\/strong>(duration: 2021-2025)<\/a><br><em>Individual Research Grant funded by DFG (joint project with Ulrich Kleinekath\u00f6fer, Physics, Constructor University Bremen)<\/em><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"software\">Software<\/h2>\n\n\n\n<p>Find our recent software contributions for publications and beyond on our Github site <a href=\"https:\/\/github.com\/SM4DA\">https:\/\/github.com\/SM4DA<\/a>.<\/p>\n\n\n\n<p>In addition, our software developments include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>hmglib<\/strong> \u2013 Open Source library for hierarchical matrices on GPU (<a href=\"https:\/\/github.com\/zaspel\/hmglib\">https:\/\/github.com\/zaspel\/hmglib<\/a>)<\/li>\n\n\n\n<li><strong>MPLA<\/strong> \u2013 Open Source multi-GPU parallel library for dense iterative solvers (<a href=\"https:\/\/github.com\/zaspel\/MPLA\">https:\/\/github.com\/zaspel\/MPLA<\/a>)<\/li>\n\n\n\n<li><strong>QML<\/strong> \u2013 Extension of the Open Source Quantum Machine Learning library by multi-fidelity techniques (for now hosted in the fork <a href=\"https:\/\/github.com\/zaspel\/qml\">https:\/\/github.com\/zaspel\/qml<\/a>)<\/li>\n\n\n\n<li><strong>UQ on GPU<\/strong> \u2013 (Multi-) GPU parallel kernel-based methods for uncertainty quantification in random partial differential equations<\/li>\n\n\n\n<li><strong>AMG on GPU<\/strong> \u2013 Hybrid GPU-based Ruge-St\u00fcben algebraic multigrid<\/li>\n\n\n\n<li><strong>NaSt3DGPF<\/strong> \u2013 Multi-GPU MPI-parallel version of the fluid mechanics solver NaSt3DGPF (<a href=\"https:\/\/ins.uni-bonn.de\/media\/public\/u\/griebel\/NaSt3DGPF\/projects.html\">https:\/\/ins.uni-bonn.de\/media\/public\/u\/griebel\/NaSt3DGPF\/projects.html<\/a>)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Finished projects Software Find our recent software contributions for publications and beyond on our Github site https:\/\/github.com\/SM4DA. In addition, our software developments include:<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","_mc_calendar":[],"footnotes":""},"class_list":["post-1752","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.peter-zaspel.de\/index.php?rest_route=\/wp\/v2\/pages\/1752","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.peter-zaspel.de\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.peter-zaspel.de\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.peter-zaspel.de\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.peter-zaspel.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1752"}],"version-history":[{"count":5,"href":"https:\/\/www.peter-zaspel.de\/index.php?rest_route=\/wp\/v2\/pages\/1752\/revisions"}],"predecessor-version":[{"id":1936,"href":"https:\/\/www.peter-zaspel.de\/index.php?rest_route=\/wp\/v2\/pages\/1752\/revisions\/1936"}],"wp:attachment":[{"href":"https:\/\/www.peter-zaspel.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1752"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}