21 to 30 of 2,536 Results
Oct 15, 2026 - EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'
Shakurianova, Alfiia; Skoury, Lior; Zorn, Max Benjamin; Wortmann, Thomas, 2026, "Hyperparameter Optimization: a Large-scale Benchmark Using Random Search, Sensitivity Analysis, and Surrogate Multi-objective Optimization on Black-box Problems", https://doi.org/10.18419/DARUS-6406, DaRUS, V1
Overview This project benchmarks ten multi-objective optimization algorithms, including NSGA-II, NSGA-III, SPEA2, MOEA/D, HYPE, NSPSO, MACO, RBFMOpt, TPE, and NOMAD, across a large and diverse set of black-box (bbcom) problems. The study evaluates algorithm performance, robustness, convergence, and sensitivity to hyperparameters. Hyperparameter Tun... |
Oct 14, 2026 - Stochastic Simulation and Safety Research for Hydrosystems (LS3)
Wildt, Nils, 2026, "Replication Data for: Fast Karhunen-Loève Expansions via FFT-Accelerated Toeplitz Operators", https://doi.org/10.18419/DARUS-6487, DaRUS, V1, UNF:6:cttgmfUtMm0+M5wmagzMzA== [fileUNF]
For a stationary kernel on an equispaced tensor grid, the covariance matrix is Toeplitz in 1-D and block-Toeplitz-with-Toeplitz-blocks (BTTB) in d dimensions. Embedding it in a circulant array and diagonalizing that embedding with the FFT turns a matrix-vector product into O(N log N) time and O(N) storage, so a Krylov eigensolver finds the leading... |
Oct 14, 2026 - SPP2422 Dataverse
Hohmann, Michael; Yiming, Adili; Penter, Lars; Ihlenfeldt, Steffen; Niggemann, Oliver, 2025, "SyDDD - Synthetic Deep Drawing Dataset", https://doi.org/10.18419/DARUS-5158, DaRUS, V2, UNF:6:rsuDhLQrofbYOmCtqgst/A== [fileUNF]
The dataset provides numerical simulation results for deep drawing processes with varying tool geometries and blank holder forces. Tool geometries and formed parts are provided as compressed NumPy archives (.npz), containing triangular meshes and sampled surface point clouds. Dataset structure Each geometry folder contains three tool files in the t... |
Oct 13, 2026 - Department VIII: Information Systems II
Petrik, Dimitri, 2026, "Literature Dataset to derive Requirements for Digital Product Passports and AAS for Load Carriers", https://doi.org/10.18419/DARUS-6261, DaRUS, V1, UNF:6:LJK5HgjhCuuALViKt6aydw== [fileUNF]
Identified literature sample to derive functional requirements on digital product passports when they are extended beyond the product boundaries to support cleaner logistics through data models of smart loading carriers. |
Oct 13, 2026 - Analytic Computing
Frank, Daniel, 2026, "Scalar Lur'e system with dead-zone nonlinearity for nonlinear system identification - regionally stable, with converging and diverging trajectories - synthetically generated", https://doi.org/10.18419/DARUS-6521, DaRUS, V1
Overview Input-output data of a scalar discrete-time Lur'e system with a dead-zone nonlinearity. The system is regionally but not globally stable: inside the dead zone it is a stable linear system, outside it is unstable. The dataset has two parts: converging trajectories that stay bounded over the whole horizon, and diverging trajectories that sta... |
Oct 13, 2026 - Analytic Computing
Frank, Daniel, 2026, "Duffing oscillator for nonlinear system identification - regionally stable, with converging and diverging trajectories - synthetically generated", https://doi.org/10.18419/DARUS-6520, DaRUS, V1
Overview Input-output data of a damped, softening Duffing oscillator, it also includes the internal state. The system is regionally but not globally stable: the origin is asymptotically stable, but the saddle points (±1, 0) bound its basin of attraction, and inputs that push the state across that boundary make it diverge. The dataset therefore has... |
Oct 12, 2026 - Using Wood Well: Better Metrics for Better Use
Svatoš-Ražnjević, Hana; Ogle, Alastair; Menges, Achim, 2026, "Multi-Level Dataset of Using Wood Well Metrics on 695 Timber Buildings", https://doi.org/10.18419/DARUS-6284, DaRUS, V2, UNF:6:hzHvc9/3HZ6aS7hIOn0Ztg== [fileUNF]
The dataset consists of three related CSV files representing the results of metric development and application on timber buildings within the Using Wood Well project, which brings together a large international sample of building projects. The Level 1 (L1) dataset examines Wood Use Intensity (WUI-Project) across 695 timber building projects from 25... |
Oct 12, 2026 - PANTABIO
Köster, Helmut, 2026, "BIOS semantic data platform 1.0.0", https://doi.org/10.18419/DARUS-6431, DaRUS, V1
Software release for the BIOS semantic data platform to share, annotate and utilise data for a distributed DBTL cycle for synthetic biology. BIOS is a modular research data platform that helps laboratory teams organize data, describe it consistently, and connect it to experimental work. It brings files, metadata, protocols, and experiment results i... |
Oct 8, 2026 - KomS Dataverse
Stricker, Birthe; Kuch, Bertram; Schönung, Jürgen; Stumpf, Bernhard; Kohlgrueber, Vera; Braeutigam, Patrick, 2026, "CSO events - extended micropollutants", https://doi.org/10.18419/DARUS-6467, DaRUS, V1
Combined sewage overflow events were sampled in 2024 and 2025 by the Mannheim Municipal Drainage (Eigenbetrieb Stadtentwässerung Mannheim) at their ten most relevant (based on their yearly overflow volume) CSO retention basins as well as storage sewers within the catchment area of Mannheim (Germany). Samples were taken time-proportional as 20-min q... |
Oct 8, 2026 - Institute of Applied Analysis and Numerical Simulation
Haasdonk, Bernard; Stamm, Benjamin; ZENG, Zhuoyao, 2026, "Replication Data for: Model Order Reduction for Parametric Dissipative Quantum Systems", https://doi.org/10.18419/DARUS-6519, DaRUS, V1, UNF:6:8h5IzpPtovnZ6Q3+22q5DA== [fileUNF]
Companion code and replication data for the paper "Model Order Reduction for Parametric Dissipative Quantum Systems" (Haasdonk, Stamm, Zeng). The Python package lindbladian_rbm builds reduced-basis (RB) surrogates of the steady state of parametrised Lindbladian master equations, in two reduced-space formulations: EigGreedy (a unit-norm constrained... |
