Simulation codes and data for "Learning Hydro-Phoretic Interactions in Active Matter"
| dc.contributor.author | Bera Palash | |
| dc.contributor.author | Mukhopadhyay, Aritra K. | |
| dc.contributor.author | Liebchen, Benno | |
| dc.date.accessioned | 2026-04-28T12:48:08Z | |
| dc.date.created | 2026 | |
| dc.date.issued | 2026-04-28 | |
| dc.description | In the quest to understand large-scale collective behavior in active matter, the complexity of hydrodynamic and phoretic interactions remains a fundamental challenge. To date, most works either focus on minimal models that do not (fully) account for these interactions, or explore relatively small systems. The present work develops a generic method that combines high-fidelity simulations with symmetry-preserving descriptors and neural networks to predict hydro-phoretic interactions directly from particle coordinates (effective interactions). This method enables, for the first time, self-contained particle-only simulations and theories with full hydro-phoretic pair interactions. Here, this dataset contains the data and code associated with the research project “Learning Hydro-Phoretic Interactions in Active Matter”. It includes raw figure data, scripts for generating the figures, and training/testing datasets for machine learning models that predict velocity and angular velocity in active colloidal systems. The dataset supports a machine learning-based framework for learning hydro-phoretic interactions from high-fidelity simulations. | |
| dc.description.version | 1 | |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/5110 | |
| dc.language.iso | en | |
| dc.rights.license | BSD-3-Clause (https://opensource.org/licenses/BSD-3-Clause) | |
| dc.subject | Active matter, Hydro-phoretic interactions, Machine learning, Coarse-graining, Collective behaviors | |
| dc.subject.classification | 3.22-01 | |
| dc.subject.ddc | 530 | |
| dc.title | Simulation codes and data for "Learning Hydro-Phoretic Interactions in Active Matter" | |
| dc.type | Software | |
| dc.type | Dataset | |
| dc.type | Image | |
| dcterms.accessRights | openAccess | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | 0000-0002-4899-0491 | |
| person.identifier.orcid | 0000-0002-7647-6430 | |
| tuda.agreements | true | |
| tuda.project | DFG | TRR146 | TRR 146 Anschubfinan | |
| tuda.unit | TUDa |
Files
Original bundle
1 - 1 of 1
| Name | Description | Size | Format | |
|---|---|---|---|---|
| data_code_ML_active_colloid.zip | 475.58 MB | ZIP-Archivdateien |