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4,881 to 4,890 of 25,631 Results

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
Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials Mar 10, 2026 - PN 6A-3 Schäfer, Moritz; Segreto, Nico; Zills, Fabian; Holm, Christian; Kästner, Johannes, 2026, "Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials", https://doi.org/10.18419/DARUS-5007, DaRUS, V1 This repository contains the data for our paper on "Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials". This includes both the simulation results as well as workflows and input files needed to recreate the results. Different experiments are contained on different branches and a more detailed REA...
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.
Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells Mar 3, 2026 - Deschler group Dataverse Kollenz, Philipp, 2026, "Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells", https://doi.org/10.18419/DARUS-5656, DaRUS, V1 This dataset contains measurement data related to the paper "Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells". The data originates from optical and electrical experiments investigating neuromorphic reservoir computing based on opto-ionic dynamics in hybrid lead-halide perovskite devices.Th...
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
giwax_mapbbr_ito_angle 1.csv Mar 3, 2026 - Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells Comma Separated Values - 4.2 MB - MD5: af2f47f40e8ff323217b3577f0dc1e9a GIWAXS data for MAPbBr3 nanocrystals spin-coated on ITO substrate
mod_437_2024-10-23_08-35_reduced.h5 Mar 3, 2026 - Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells Hierarchical Data Format - 9.3 MB - MD5: a707eee18ee92051059e6a8a6fbb9bbe repeat modulation measurement to show sample variations

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 -

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 -

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 -

Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials

Mar 10, 2026 - PN 6A-3

Schäfer, Moritz; Segreto, Nico; Zills, Fabian; Holm, Christian; Kästner, Johannes, 2026, "Replication Data for: Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials", https://doi.org/10.18419/DARUS-5007, DaRUS, V1

This repository contains the data for our paper on "Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials". This includes both the simulation results as well as workflows and input files needed to recreate the results. Different experiments are contained on different branches and a more detailed REA...

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 -

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 -

Explanations for the content and structure of the repository.

Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells

Mar 3, 2026 - Deschler group Dataverse

Kollenz, Philipp, 2026, "Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells", https://doi.org/10.18419/DARUS-5656, DaRUS, V1

This dataset contains measurement data related to the paper "Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells". The data originates from optical and electrical experiments investigating neuromorphic reservoir computing based on opto-ionic dynamics in hybrid lead-halide perovskite devices.Th...

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 -

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

giwax_mapbbr_ito_angle 1.csv

Mar 3, 2026 - Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells

Comma Separated Values - 4.2 MB -

GIWAXS data for MAPbBr3 nanocrystals spin-coated on ITO substrate

mod_437_2024-10-23_08-35_reduced.h5

Mar 3, 2026 - Data for: Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells

Hierarchical Data Format - 9.3 MB -

repeat modulation measurement to show sample variations

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