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121 to 130 of 1,036 Results

training.py Aug 3, 2026 - Replication Data for: "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries" Python Source Code - 21.8 KB - MD5: ea4c9b453880b020e968e60b5df79c53
tsne_embeddings.npy Aug 3, 2026 - Replication Data for: "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries" Unknown - 15.4 KB - MD5: 8fef9188c149f5a89bfcee393af3a865
width_block_plot_data.pkl Aug 3, 2026 - Replication Data for: "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries" Unknown - 2.9 KB - MD5: 536522294c9f6c821efd2035ed7a4145
captum_plots.py Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 4.3 KB - MD5: 6ce8f7f960539ca2cbd8898b55dd0f01
custom_resnet18.py Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 9.6 KB - MD5: 394999544b73013cf9c2e7a2d98bdf41
generate_reference_data.py Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 5.3 KB - MD5: 5c5990970a221cf5bfda43564c1d0270
prune_plotting.py Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 2.8 KB - MD5: fe5da6074e6d32dc1a4a262c2279d697
quantization_table.py Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 3.1 KB - MD5: def488fcb660e6e0219943cbc2d9cc8b
results-plots.py Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores" Python Source Code - 8.3 KB - MD5: 4e4b9248fd6e965803f90332f7da1b11
Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions Jun 3, 2026 - Holm group Grad, Jean-Noël; Tischler, Ingo; Reinauer, Alexander; Kobayashi, Hideki; Kuron, Michael; Hennig, Frederik; Holzer, Markus; Santos Neves, Pedro Miguel; Kamath, Satish Santhosh; Holm, Christian; Weeber, Rudolf, 2026, "Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions", https://doi.org/10.18419/DARUS-5827, DaRUS, V2, UNF:6:hKxT8PVDSE8OaAEZRK6tuQ== [fileUNF] Build scripts, benchmark scripts, raw data, and analysis scripts accompanying the paper "Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions" (doi:10.1016/j.procs.2026.08.022).

training.py

Aug 3, 2026 - Replication Data for: "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries"

Python Source Code - 21.8 KB -

tsne_embeddings.npy

Aug 3, 2026 - Replication Data for: "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries"

Unknown - 15.4 KB -

width_block_plot_data.pkl

Aug 3, 2026 - Replication Data for: "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries"

Unknown - 2.9 KB -

captum_plots.py

Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 4.3 KB -

custom_resnet18.py

Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 9.6 KB -

generate_reference_data.py

Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 5.3 KB -

prune_plotting.py

Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 2.8 KB -

quantization_table.py

Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 3.1 KB -

results-plots.py

Jun 18, 2026 - Replication Script for "Deep Learning-Driven Peptide Classification in Biological Nanopores"

Python Source Code - 8.3 KB -

Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions

Jun 3, 2026 - Holm group

Grad, Jean-Noël; Tischler, Ingo; Reinauer, Alexander; Kobayashi, Hideki; Kuron, Michael; Hennig, Frederik; Holzer, Markus; Santos Neves, Pedro Miguel; Kamath, Satish Santhosh; Holm, Christian; Weeber, Rudolf, 2026, "Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions", https://doi.org/10.18419/DARUS-5827, DaRUS, V2, UNF:6:hKxT8PVDSE8OaAEZRK6tuQ== [fileUNF]

Build scripts, benchmark scripts, raw data, and analysis scripts accompanying the paper "Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions" (doi:10.1016/j.procs.2026.08.022).

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