This record contains a frozen snapshot of the solver source code, constraint models, and experiment configurations accompanying the paper \"GPMS: A Generalized Parallel Machine Scheduling Framework with Rich Temporal and Resource Constraints\".
\nLink to the paper: 10.1609/icaps.v36i1.42866
\nReference: Frühwirth, L., Einspieler, C., Musliu, N., & Winter, F. (2026). GPMS: A Generalized Parallel Machine Scheduling Framework with Rich Temporal and Resource Constraints. In Proceedings of the International Conference on Automated Planning and Scheduling (Vol. 36, No. 1, pp. 490-499).
\nPurpose: An open-source solver for the generalized parallel machine scheduling problem, which combines, among others, time-varying machine availability, precedence constraints with time lags, secondary resources with time-varying capacity, and sequence-dependent setups. The snapshot reproduces the exact and heuristic results reported in the paper.
\nContents: construction heuristics, a CP-SAT (OR-Tools) model, equivalent MiniZinc constraint models, a command-line runner, a parameterized instance generator, and the experiment configurations used in the paper.
\nThe code is a .NET 8 solution organized by component:
\nThe solver CLI is driven by JSON configuration files passed via --config. The configurations are grouped by instance set (generated, real_type1, real_type2, real_type3) and by solver: construction heuristics only (*_CH), CP-SAT cold start (*_CP_cold), CP-SAT warm-started from the construction heuristics (*_CP_warm), and the MiniZinc model solved with the OR-Tools CP-SAT backend (*_Mzn_CP). Build and run instructions are provided in the README inside the archive.
\nRequired software: Building and running require the .NET 8 SDK. The MiniZinc-based exact models additionally require a MiniZinc installation; the CP-SAT and heuristic solvers do not. All other dependencies are public NuGet packages restored automatically from nuget.org.
\nAll files in the archive are plain text and are best opened in a code editor or IDE (such as Visual Studio, Visual Studio Code, or JetBrains Rider) rather than a plain text editor. The archive contains the following file types:
\n .cs C# source code, the solver implementation. Compiled by the .NET 8 SDK
.sln the Visual Studio solution file, the build entry point (dotnet build ParallelMachineScheduling.sln)
.csproj MSBuild project files declaring target framework and dependencies, read automatically by the build
.config nuget.config, pointing dependency restore at nuget.org
.mzn MiniZinc constraint models, needed only to run the MiniZinc models; opened and run with a MiniZinc installation/IDE
.json experiment configurations under Configs/ (solver settings and paths), needed to reproduce the runs
.md README.md with build and run instructions
LICENSE the MIT license text (no file extension)
The code is released under the MIT License.
\nAdditional resources: The benchmark instances used in the experiments are archived in a companion record at 10.48436/g0cyt-4h155
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"given_name": "Lukas", "family_name": "Fr\u00fchwirth", "identifiers": [{"identifier": "0009-0005-1848-1062", "scheme": "orcid"}]}, "role": {"id": "contactperson", "title": {"en": "Contact person"}}, "affiliations": [{"id": "04d836q62", "name": "TU Wien", "identifiers": [{"identifier": "04d836q62", "scheme": "ror"}, {"identifier": "grid.5329.d", "scheme": "grid"}, {"identifier": "0000 0004 1937 0669", "scheme": "isni"}]}]}], "title": "Instances for the Generalized Parallel Machine Scheduling (GPMS) Framework", "publisher": "TU Wien", "publication_date": "2026-06-19", "subjects": [{"id": "http://www.oecd.org/science/inno/38235147.pdf?1.2", "subject": "Computer and information sciences", "scheme": "FOS"}], "contributors": [{"person_or_org": {"type": "personal", "name": "Musliu, Nysret", "given_name": "Nysret", "family_name": "Musliu", "identifiers": [{"identifier": "0000-0002-3992-8637", "scheme": "orcid"}]}, "role": {"id": "supervisor", "title": {"en": "Supervisor"}}, "affiliations": [{"name": "TU Wien"}]}, {"person_or_org": {"type": "personal", "name": "Winter, Felix", "given_name": "Felix", "family_name": "Winter", "identifiers": [{"identifier": "0000-0002-1012-1258", "scheme": "orcid"}]}, "role": {"id": "supervisor", "title": {"en": "Supervisor"}}, "affiliations": [{"name": "TU Wien"}]}, {"person_or_org": {"type": "personal", "name": "Einspieler, Christoph", "given_name": "Christoph", "family_name": "Einspieler"}, "role": {"id": "projectmember", "title": {"en": "Project member"}}}], "dates": [{"date": "2026-06-03", "type": {"id": "submitted", "title": {"en": "Submitted"}}}], "languages": [{"id": "eng", "title": {"en": "English"}}], "related_identifiers": [{"identifier": "10.48436/m7ams-x6a79", "scheme": "doi", "relation_type": {"id": "issupplementedby", "title": {"en": "Is supplemented by"}}, "resource_type": {"id": "software", "title": {"de": "Software", "en": "Software"}}}, {"identifier": "10.1609/icaps.v36i1.42866", "scheme": "doi", "relation_type": {"id": "issupplementto", "title": {"en": "Is supplement to"}}, "resource_type": {"id": "publication-conferencepaper", "title": {"de": "Konferenzbeitrag", "en": "Conference Paper"}}}], "rights": [{"id": "cc-by-4.0", "title": {"en": "Creative Commons Attribution 4.0 International"}, "description": {"en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited."}, "icon": "cc-by-icon", "props": {"url": "https://creativecommons.org/licenses/by/4.0/legalcode", "scheme": "spdx"}}], "description": "The dataset accompanies the paper \"GPMS: A Generalized Parallel Machine Scheduling Framework with Rich Temporal and Resource Constraints\".
\nLink to the paper: 10.1609/icaps.v36i1.42866
\nReference: Frühwirth, L., Einspieler, C., Musliu, N., & Winter, F. (2026). GPMS: A Generalized Parallel Machine Scheduling Framework with Rich Temporal and Resource Constraints. In Proceedings of the International Conference on Automated Planning and Scheduling (Vol. 36, No. 1, pp. 490-499).
\nPurpose: A benchmark set for evaluating exact and heuristic solution methods for the generalized parallel machine scheduling problem, which combines, among others, time-varying machine availability, precedence constraints with time lags, secondary resources with time-varying capacity, and sequence-dependent setups.
\nHow created: Generated instances were produced by a parameterized instance generator under controlled settings (number of jobs and machines, precedence and secondary-resource complexity, sequence-dependent setups, etc.) with fixed random seeds for reproducibility. Real-type instances are derived from real-world production scheduling settings.
\nInstances are JSON files in four folders: generated/ (216), real_type1/ (77), real_type2/ (11), real_type3/ (3).
\nGenerated files are named
i<idx>_j<jobs>_m<machines>_prec<None|Simple|Complex>_sec<None|Simple|Complex>_seq<n>_inf<n>_fix<n>_seed<n>_<short|long>MP.json, where:
- j — number of jobs; m — number of machines
- prec — precedence complexity (three levels: None / Simple / Complex)
- sec — secondary-resource complexity (three levels: None / Simple / Complex)
- seq — number of jobs with sequence-dependent setup times
- inf — number of non-capacitated machines (which allow overlapping jobs)
- fix — number of jobs with fixed setup or processing timings
- seed — random seed
- short/long MP — shorter vs. longer average machine-period length (same horizon, i.e., more vs. fewer periods)
Real-type files are named real_type<k>_<idx>[_m<machines>]_j<jobs>.json.
\nJSON structure:
\nEach file is one JSON object describing a single instance:
\n - Name, Horizon (integer time horizon; all times lie in [0, Horizon]), and the counts JobCount, MachineCount, SecResourceCount.
- Machines — each has Id, IsFinite (true = capacitated, one job at a time; false = non-capacitated, jobs may overlap), and Periods (availability intervals {StartTime, EndTime}).
- SecondaryResources — each has Id, InitialSecResourceUsage, and SecResourcePeriods ({StartTime, EndTime, Capacity, Cost}, i.e. time-varying capacity and per-unit cost).
- Objectives — global objective terms as {Type, Weight} (e.g. TotalWeightedTardiness, SetupTime, SetupProcessCost, TotalMakespan, …). Weights in the file are defaults; the weightings used per experiment are set in the solver configurations.
- Jobs — each job has:
- Id, ReleaseDate, DueDate, HasDeadline, Deadline;
- timing-fix flags SetupFixed / ProcessFixed and the fixed times SetupStartFixed / SetupEndFixed / ProcessStartFixed / ProcessEndFixed (null unless fixed);
- SeqDependent (indicates whether the job has sequence-dependent setups);
- JobObjWeights — per-job objective weights {Type, Weight};
- SetupAndProcessTimes — per eligible machine {MachineId, ProcessTime, InitialSetupTime, SetupTime, InitialSetupCost, SetupCost, ProcessCost, MaxOperationSpanIncrease} (a job is eligible on the machines listed here);
- SeqDepSetupTimes — sequence-dependent setup increments {MachineId, FromJobId, AddToSetupTime, AddToSetupCost}, applied when the job directly follows FromJobId;
- SecResourceDemands — {MachineId, ResourceId, InitialSetupDemand, InitialSetupType, SetupDemand, SetupType, ProcessDemand, ProcessType}, where the *Type fields give the demand profile (Pulse, NegPulse, StepAtStart, NegStepAtStart, StepAtEnd, NegStepAtEnd);
- Precedences — relations to other jobs as {JobId (of predecessor), TransferFactor, MinLag, MaxLag, NoJobInBetween, ConditionalMachineEligibilities};
All times, demands, capacities, and costs are integers.
\nRequired software: The files are plain JSON and can be opened and parsed with any standard tool — no specific software is required to read them. To load, solve, and validate instances, an open-source .NET 8 solver is provided (see below); the MiniZinc constraint models additionally require a MiniZinc installation.
\nAdditional resources: The solver source code, constraint models, experiment configurations, and build/run instructions are archived at 10.48436/m7ams-x6a79
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L.", "given_name": "M. L.", "family_name": "Savchenko"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Gospodaric, J.", "given_name": "J.", "family_name": "Gospodaric"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Shuvaev, A.", "given_name": "A.", "family_name": "Shuvaev"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Dmitriev, I. A.", "given_name": "I. A.", "family_name": "Dmitriev"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Dziom, V.", "given_name": "V.", "family_name": "Dziom"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Dobretsova, A. A.", "given_name": "A. A.", "family_name": "Dobretsova"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Mikhailov, N. N.", "given_name": "N. N.", "family_name": "Mikhailov"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Kvon, Z. D.", "given_name": "Z. D.", "family_name": "Kvon"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}], "title": "Optical Shubnikov\u2013de Haas oscillations in two-dimensional electron systems", "publisher": "TU Wien", "publication_date": "2026-06-17", "subjects": [{"subject": "Shubnikov de Haas"}, {"subject": "Terahertz"}, {"subject": "Quantum well"}], "related_identifiers": [{"identifier": "10.1103/PhysRevResearch.6.L022027", "scheme": "doi", "relation_type": {"id": "issupplementto", "title": {"en": "Is supplement to"}}, "resource_type": {"id": "dataset", "title": {"de": "Datensatz", "en": "Dataset"}}}], "rights": [{"id": "cc-by-4.0", "title": {"en": "Creative Commons Attribution 4.0 International"}, "description": {"en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited."}, "icon": "cc-by-icon", "props": {"url": "https://creativecommons.org/licenses/by/4.0/legalcode", "scheme": "spdx"}}], "description": "These are the data to the paper:
\nM. L. Savchenko, J. Gospodari\u010d, A. Shuvaev, I. A. Dmitriev, V. Dziom, A. A. Dobretsova, N. N. Mikhailov, Z. D. Kvon, and A. Pimenov
„Optical Shubnikov–de Haas oscillations in two-dimensional electron systems“
Phys. Rev. Research 6, L022027 (2024). https://doi.org/10.1103/PhysRevResearch.6.L022027
File format: \"OriginPro\" (OriginLab Corporation)
\nThe file: \"Transmission_Field.opju\" contains the magnetic field dependence of the transmittance measured at 950 GHz and with different gate voltages corresponding to different Fermi level positions. Also given is the gate voltage dependence of the cyclotron effective mass which corresponds to the linear electron spectrum in the HgTe quantum well with critical thickness. Transmittance oscillations measured at 1019 GHz and atVg = 9V together with SdH oscillations of capacitance, are obtained subtracting the smooth part of the transmittance |t |^2. The theory curve is calculated using Eqs. (1) and (3) of the main text. The phase of dynamic SdH oscillations is flipped across the node.
\nThe file \"Nodes_in_Transmission.opju\" showsthe imaginary vs real parts of the transmission amplitude t . The tunable nodes arise when t and its small correction δt are perpendicular to each other on the complex plane. Also shown are the magnetic field dependences of sin(πω/ωc ) (universal nodes) and of calculated transmittance SdH oscillations; and the graphical solution of Eq. (4) of the main paper determining the tunable nodes in transmittance.
\nThe file \"Phase_SdH.opju\" contains the magnetic field dependences of the amplitude of the parallel transmittance |t_p| and its phase \u03d5, respectively, measured at 360 GHz. Oscillations of the parallel transmittance amplitude and its phase are given in 1/B scale, the smooth parts in |t_p|^2 and \u03d5 were subtracted. Black thick lines are experimental data, red thin lines are fits based on Eqs. (1) and (3) of the main paper.
", "additional_descriptions": [{"description": "We report on dynamic Shubnikov–de Haas (SdH) oscillations that are measured in the optical response, subterahertz transmittance of two-dimensional systems, and reveal two distinct types of oscillation nodes: “universal” nodes at integer ratios of radiation and cyclotron frequencies and “tunable” nodes at positions sensitive to all parameters of the structure. The nodes in both real and imaginary parts of the measured complex transmittance are analyzed using a dynamic version of the static Lifshitz-Kosevich formula. These results demonstrate that the node structure of the dynamic SdH oscillations provides an all-optical access to quantization- and interaction-induced renormalization effects, in addition to parameters one can obtain from the static SdH oscillations.
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\n\"Digitale Transformation historischer Gebäude: BIM-Integration mit Rhino.inside.Revit am Beispiel von Schloss Drosendorf\"
\nThis dataset was developed within the field of Additive Manufacturing (AM), specifically focusing on Multi-Material Stereo Lithography (MMSL). It investigates the mechanical behavior of heterogeneous cellular structures fabricated using a modified MMSL platform. The dataset provides the experimental base for how different topologies and material distributions influence mechanical properties. The dataset was created through the following workflow:
\nThis dataset comprises (cleaned) point clouds (in .pts format) as well as tachymetric measurement data in ASCII format acquired in July and August 2023. The objective of the data acquisition constituted in the monitoring of an inoperative industrial chimney located at the Campus Arsenal of TU Wien in Vienna, Austria. Multiple epochs were acquired throughout 2 separate measurement days (21 August 2023 and 28 July 2023).
\nThe data are cleaned. The epochs are registered and the files are named in order to allocate them correctly to the respective acquisition epoch.
The dataset contains five measurement epochs comprising TLS data and raw data from tachymetric measurements (in .txt format) used for registration.
The network measurements have to following Format:
Format#1: Station;Target;Target height;Direction;Vertical Angle;Slope Distance; Time stamp;X;Y;Z;
Format#2: Station; Target;Direction; Vertical Angle; Slope Distance;X;Y;Z;
\nThe .txt Files are built for column-based insertion in JAG3D (https://software.applied-geodesy.org/de/) - an open source software for geodetic network adjustment.
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\ncontains *.txt Files comprising relevant coordinates for the stations and targets.
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Licensed works, modifications, and larger works may be distributed under different terms and without source code."}, "props": {"url": "https://opensource.org/licenses/MIT", "scheme": "spdx"}}], "description": "
This dataset was created in the context of the bachelor’s thesis Wasist: WebAssembly Shadow Stack Inspection and Summary Tool at TU Wien. The work is situated in the area of abstract interpretation, static program analysis and WebAssembly security.
\nThe dataset documents and supports the implementation and evaluation of Wasist, a static analyser for WebAssembly 1.0. Wasist performs abstract interpretation on Wasm modules to map a set of possible addresses to each memory instruction and to give a best-effor shadow-stack layout reconstruction.
\nThe purpose of the dataset is to enable reproduction of the thesis results, inspection of the evaluation scripts and reuse of the Wasist analyser for related research or work on WebAssembly memory analysis and shadow-stack reconstruction.
\nThe dataset is structured into four parts:
\nTo use the analyser, a modern installation of Rust is required. Instructions on the usage of the analyser can be found in the corresponding README.
The evaluation scripts where built for Python 3.14. Instructions can also be found in the corresponding README.
The analyser focuses on WebAssembly 1.0 (MVP) binaries and does not generally support newer Wasm features such as SIMD, threading, reference types, or multiple memories. Its analysis is based on conservative assumptions about shadow-stack behaviour, including a fixed shadow-stack location and size and a well-behaved stack pointer. These assumptions are important when interpreting results or reusing the analyser on other datasets. Reusers should therefore consult the thesis and repository documentation before drawing conclusions from the generated analysis output.
\n\n
The thesis, as well as versioned source code, can also be found on GitHub, see https://github.com/nilsgoebl/wasist-thesis.
\n\n
This record contains original thesis code and third-party collected WebAssembly binaries.
\nOriginal code in this record, so the code of the analysers as well as the evaluation scripts, is licensed under the MIT license.
\nSome WebAssembly binaries were obtained from the WasmBench dataset (https://github.com/sola-st/WasmBench), and some were obtained from the NodeWasmStudy dataset (https://github.com/michelledaviest/NodeWasmStudy). Their MIT and Apache license only apply to their source codes used for collecting the dataset, which wasn't used in this thesis. For the individual WebAssembly files, they provide per-binary metadata, which includes the source, and sometimes, license information. All binaries were obtained from publicly available sources, like Github or by crawling websites. The collected sources and licenses of these WebAssembly files can be found in the LICENSE file. No single uniform license is asserted for all included .wasm files.
\nThe uploader does not relicense third-party binaries.
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"publication-article", "title": {"de": "Zeitschriftenartikel", "en": "Journal Article"}}}], "rights": [{"id": "cc-by-4.0", "title": {"en": "Creative Commons Attribution 4.0 International"}, "description": {"en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited."}, "icon": "cc-by-icon", "props": {"url": "https://creativecommons.org/licenses/by/4.0/legalcode", "scheme": "spdx"}}], "description": "This repository contains the processed experimental data as well as the evaluation procedure applied to create the figures published in \"Ion-Induced Surface Charge Dynamics in Freestanding Monolayers of Graphene and MoS2 Probed by the Emission of Electrons\".
\nThis repository contains the processed experimental data as well as the evaluation procedure applied to create the figures published in \"Charge-exchange-dependent energy loss of H and He in freestanding monolayers of graphene and MoS2\".
\nThis repository contains the processed experimental data as well as the evaluation procedure applied to create the figures published in \"Peeling graphite layer by layer reveals the charge exchange dynamics of ions inside a solid\".
\nThis repository contains the processed experimental data as well as the evaluation procedure applied to create the figures published in \"Chirality Switching in 1T\u2010TaS2 by Highly Charged Ion Irradiation\".
\nThis repository contains the processed experimental data as well as the evaluation procedure applied to create the figures published in \"Coincidence technique to study ion-induced electron emission from atomically thin materials\".
\nThis repository contains the processed experimental data as well as the evaluation procedure applied to create the figures published in \"Trajectory-dependent highly charged ion-induced electron yield from single-layer graphene\".
\nThis repository contains the processed experimental data as well as the evaluation procedure applied to create the figures published in \"A compact electron beam ion source for highly charged ion experiments at large-scale user facilities\".
\nThis repository contains the processed experimental data as well as the evaluation procedure applied to create the figures published in \"Charge exchange of slow highly charged ions from an electron beam ion trap with surfaces and 2D materials\".
\nContext and methodology
\nThis dataset contains the source data for all figures of the article \"Early age aggregation mechanisms of alkali-activated slag particles\" by T. Liberto, P. Carmona, O. Ojeda-Farías, B. Costa, M. C. Dalconi, A. Robisson and P. Hébraud. The research belongs to the field of soft matter and cementitious materials, specifically the early-age aggregation of alkali-activated slag (AAS) particles.
\nThe data combine four techniques: multispeckle diffusing wave spectroscopy (MSDWS: normalized intensity correlation functions g2, relaxation-time distributions P(τ), fast/slow relaxation times τ and amplitudes A); small-amplitude oscillatory shear (SAOS: storage modulus G′ with standard deviations); in situ X-ray powder diffraction (XRPD, Cu Kα: intensity vs. 2θ and vs. scattering vector q, and normalized low-angle intensity vs. time); and particle size distribution. Datasets labelled \"CCPCE\" and \"noCCPCE\" refer to pastes mixed with the CaCl\u2082 + PCE solution and with distilled water, respectively. Sample preparation and measurement protocols are described in the Materials and methods section of the article.
\nTechnical details
\nOne HDF5 file per figure; groups correspond to figure panels (a, b, c, ...). Units: time in s, G′ in Pa, 2θ in degrees, q in Å\u207b¹, diameters in µm. The full list of groups and datasets is given in FilesDescriptor.pdf. HDF5 is open and platform-independent (HDFView, Python/h5py, MATLAB, R); no proprietary software required.
\nFurther details
\nWhen reusing the data, please cite this dataset and the associated publication. This work was funded by the FWF–ANR joint grant (FWF: PIN4064224; ANR: ANR-24-CE91-0020) and by CONAHCYT through the Postdoctoral abroad program.
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Yu.", "given_name": "V. Yu.", "family_name": "Ivanov"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Kuzmenko, A. M.", "given_name": "A. M.", "family_name": "Kuzmenko"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Constable, Evan", "given_name": "Evan", "family_name": "Constable"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}, {"person_or_org": {"type": "personal", "name": "Mukhin, A. A.", "given_name": "A. A.", "family_name": "Mukhin"}, "role": {"id": "datacollector", "title": {"en": "Data collector"}}}], "title": "Resolving the local distortions of Ising-like moments in magnetoelectric Ho-doped langasite", "publisher": "TU Wien", "publication_date": "2026-06-10", "subjects": [{"subject": "Magnetoelectricity"}, {"subject": "Langasites"}, {"subject": "Magnetism"}, {"subject": "Symmetry"}], "related_identifiers": [{"identifier": "10.1103/PhysRevB.109.214433", "scheme": "doi", "relation_type": {"id": "issupplementto", "title": {"en": "Is supplement to"}}, "resource_type": {"id": "dataset", "title": {"de": "Datensatz", "en": "Dataset"}}}], "rights": [{"id": "cc-by-4.0", "title": {"en": "Creative Commons Attribution 4.0 International"}, "description": {"en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited."}, "icon": "cc-by-icon", "props": {"url": "https://creativecommons.org/licenses/by/4.0/legalcode", "scheme": "spdx"}}], "description": "These are the data to the paper:
\nA. Yu. Tikhanovskii, V. Yu. Ivanov, A. M. Kuzmenko, A. Stunault, O. Fabelo, E. Ressouche, V. Simonet, R. Ballou, I. A. Kibalin, A. Pimenov, A. A. Mukhin, and E. Constable
“Resolving the local distortions of Ising-like moments in magnetoelectric Ho-doped langasite”
Phys. Rev. B 109, 214433 (2024). https://doi.org/10.1103/PhysRevB.109.214433
arXiv:2406.18209
File format: \"OriginPro\" (OriginLab Corporation)
\nThe file \"Ho_LGS_Magn_Field.oggu\" contains the magnetization curves of Ho-LGS for various orientations of external magnetic field and at temperatures between 1.9 and 60 K. In addition, a comparison of the susceptibility observed from magnetization and from neutron data is given. Symbols represent experimental data, solid lines are theoretical calculations as explained in the main paper.
\nThe file \"Ho_LGS_Magnetization_angular.opju\" contains the angular dependences of the magnetization in Ho-LGS
planes at \ud835\udc47= 1.9 K and in external field of 5T, 3.5 T , and 2 T . Open symbols represent experimental data; solid lines are theoretical predictions detailed in the main paper.
The magnetic properties of Ho-doped langasites (La:Ho)3\u2062G\u2061a5\u2062Si\u2062O14 are dominated by the Ising-like magnetic moments of the H\u2061o3+ ions. In their saturated regime, the induced magnetic state breaks both time and space inversion symmetries, leading to a linear magnetoelectric effect. However, due to distortions induced by a shared Ga/Si occupancy of the 2\u2062\ud835\udc51 sites, resolving the microscopic nature of the magnetic configuration remains a difficult task. Here, we combine polarized neutron diffraction and angular-dependent magnetization experiments to determine the local distortions of the H\u2061o3+ magnetic moments in doped langasites (L\u2062a1−\ud835\udc65\u2062H\u2061o\ud835\udc65)3\u2062G\u2061a5\u2062Si\u2062O14 with \ud835\udc65≈0.015 and 0.045. We propose a model for a field-induced magnetic configuration with arbitrary orientations of the local Ising axis of H\u2061o3+ in distorted positions. The operations of broken local \ud835\udc362 symmetry and rotations around the trigonal \ud835\udc363 axis connect different sites, restoring the global \ud835\udc43\u2062321 symmetry of the crystal and simplifying the description of the magnetic properties. The superposition of two distorted H\u2061o3+ positions connected by \ud835\udc362 symmetry determines the local magnetic susceptibility tensor, which no longer appears Ising-like at low fields.
\nThese are the data to the paper:
\nA. Tikhanovskii, V. Yu. Ivanov, A. Kuzmenko, E. Constable, A. Pimenov, and A. Mukhin
\n“Effect of local distortions on magnetic and magnetoelectric properties of paramagnetic Pr3Ga5SiO14 langasite”
Phys. Rev. B 110, 014409 (2024). https://doi.org/10.1103/PhysRevB.110.014409
arXiv:2409.07897
File format: \"Origin\" (OriginLab Corporation)
The file \"Magnetization_Field_Pr_LGS.oggu\" contains the magnetic field dependencies of the magnetization of PGS for temperatures from 1.9 to 60 K and for different orientations of the external field. The theory curves correspond to the model as described in the manuscript.
\nThe file \"Magnetization_Temperature_Pr_LGS.oggu\" contains the Temperature dependencies of the magnetic susceptibility of PGS in an external field oriented parallel and perpendicular to the basal plane. The theory curves correspond to the model as described in the manuscript. Additionally, the Van Vleck contribution and the contributions from excited levels to the susceptibility are given. The inset displays the temperature dependencies of the derivative of the magnetic susceptibility, demonstrating the same contributions from the two lowest singlets for fields along the a and c axes.
\nThe file \"Polarization_Pr_LGS.oggu\" contains the field dependencies of the electric polarization PGS for different orientations and temperatures. Second, the temperature dependencies of the magnetoelectric susceptibilities obtained from the field dependencies of electric polarization are given. The temperature dependence of the dP/dH, demonstrates the deviation from the standard behavior at low temperatures. Solid lines
are theoretical fits with parameters given in Table I of the main manuscript.
Magnetic-field-induced electric polarization has been observed in trigonal noncentrosymmetric paramagnetic Pr3\u2061Ga5\u2062SiO14 langasite. We detected quadratic electric polarization along the \ud835\udc4e axis in the basal \ud835\udc4e\u2062\ud835\udc4f plane for various magnetic field orientations. Electric polarization along the \ud835\udc50 axis is only evident starting from the fourth power of magnetic field, in accordance with the trigonal symmetry. The magnetic properties of Pr3\u2061Ga5\u2062SiO14 primarily stem from the local anisotropic magnetic moment of the two lowest P\u2062r3+ singlets (quasidoublet) in the crystal electric field. The random distribution of Ga/Si in the 2\u2062\ud835\udc51 positions leads to a local distortion of the \ud835\udc362 symmetry and to a distribution of the quasidoublet splitting. By considering the interactions of local moments among different P\u2062r3+ positions within a phenomenological approach for the allowed magnetoelectric coupling, we derive the electric polarization in terms of symmetry-allowed combinations of local magnetic susceptibilities and field components. The magnetic field dependence of electric polarization in the basal plane, \ud835\udc43\ud835\udc4e,\ud835\udc4f*, is mainly determined by the accumulation of effective local susceptibilities, exhibiting similar behavior in low fields, while polarization along the \ud835\udc50 axis, \ud835\udc43\ud835\udc50, arises from the nonequivalence of local effective magnetic susceptibilities in different P\u2062r3+ positions. Our findings suggest that the temperature dependencies of magnetic and magnetoelectric susceptibilities are highly sensitive to the distribution of the quasidoublet splitting, which reflects the local symmetry breaking.
\nHere you can find the raw data sets to the manuscript titled \"In-situ surface reconstruction of silver-based MOCHAs via chalcogen depletion for durable CO2-to-CO electrocatalysis\"
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