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MD5: dbb04668da9fc10831f65c00a356a9af
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MD5: 70a9365b01dd74cfdab9bc44f7acb2ad
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MD5: 026490a458c5e5be9d87335927503f74
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MD5: ae440e264dd1a4e4bd23294f5981f6de
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MD5: b587144ccc812bc206fe6e77bc5df8a3
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MPEG-4 Video - 5.7 MB -
MD5: 93d62b20faf1756ba338d3b31ba3b0a2
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Mar 10, 2026 -
Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials
Markdown Text - 1.7 KB -
MD5: 6c629d0ba2c2458d0715e224f841059c
Explanations for the content and structure of the repository. |
Mar 10, 2026 -
Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials
Gzip Archive - 55.2 GB -
MD5: 3ec04c90fedc713737e901dcafdc0742
complete repository accompaniying the manuscript |
Feb 18, 2026 -
Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
MPEG-4 Video - 3.6 MB -
MD5: c8f527827e71c34beeea77d8b26c04a1
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Feb 18, 2026 -
Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
MPEG-4 Video - 3.8 MB -
MD5: 892ffcef3e92f7237b48ee0696c33341
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