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4,841 to 4,850 of 25,451 Results
speed-controller-mean-driver-speed-5-1.mp4
Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
MPEG-4 Video - 5.7 MB - MD5: dbb04668da9fc10831f65c00a356a9af
speed-controller-mean-driver-speed-5-2.mp4
Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
MPEG-4 Video - 3.8 MB - MD5: 70a9365b01dd74cfdab9bc44f7acb2ad
speed-controller-mean-driver-speed-5-3.mp4
Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
MPEG-4 Video - 3.3 MB - MD5: 026490a458c5e5be9d87335927503f74
speed-controller-mean-driver-speed-5-4.mp4
Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
MPEG-4 Video - 3.1 MB - MD5: ae440e264dd1a4e4bd23294f5981f6de
speed-controller-mean-driver-speed-5-5.mp4
Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
MPEG-4 Video - 3.0 MB - MD5: b587144ccc812bc206fe6e77bc5df8a3
speed-controller-mean-driver-speed-5-6.mp4
Mar 11, 2026 - Supplementary Videos for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)
MPEG-4 Video - 5.7 MB - MD5: 93d62b20faf1756ba338d3b31ba3b0a2
apax_paper.tar.gz
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
Data
complete repository accompaniying the manuscript
README.md
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.
PN 3 A-5(Universität Stuttgart)
Mar 10, 2026PN 3
AI software tools for materials development
bitscan_599_2024-11-15_09-48.h5
Mar 3, 2026 - Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells
Hierarchical Data Format - 4.3 GB - MD5: 6dadcced2d57c53c4abcbef307dd3b88
Data for the 4-bit classification benchmark contains the following datasets: time: timestamps (ns) bit_seq: binary pulse sequences bit_seq_idx: corresponding integers image: photoluminescence microscopy images
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