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publicationDate: 2025

7,931 to 7,940 of 11,473 Results

XCY.gro Apr 3, 2025 - Supplementary material for ''Ring-Expansion Metathesis Polymerization under Confinement" Unknown - 9.7 KB - MD5: bf1291b1b31dc2656f7206dc1e31d109
XCY.top Apr 3, 2025 - Supplementary material for ''Ring-Expansion Metathesis Polymerization under Confinement" Unknown - 108.6 KB - MD5: 5753986fdb7188b705d48bfc177853aa
Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks Apr 2, 2025 - Scientific Computing Helmann, Maksim; Strack, Alexander; Pflüger, Dirk, 2025, "Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks", https://doi.org/10.18419/DARUS-4743, DaRUS, V1 This repository complements the identically titled paper submitted to WAMTA 2025 and allows to reproduce the published results. For a more description please consider the README.md file.
README.md Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks Markdown Text - 3.5 KB - MD5: 9dfc0a6ebc5a4647a46b8396c563ab1a
test_input_19.txt Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks Plain Text - 10.2 MB - MD5: 904d50a2ae8459ad110f872432a8e775
test_output_19.txt Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks Plain Text - 9.8 MB - MD5: 34829ca5dcf39cc9659b0c2f89ff1ccc
training_input_19.txt Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks Plain Text - 10.1 MB - MD5: 265fffbc254f0087c9a2e9b6b40a082e
training_output_19.txt Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks Plain Text - 9.7 MB - MD5: ab59bba647a59aa41ddf16ecbdbc0d2c
Deep Drawing and Cutting Simulations Dataset Apr 2, 2025 - DFG SPP 2422 Baum, Sebastian; Heinzelmann, Pascal, 2025, "Deep Drawing and Cutting Simulations Dataset", https://doi.org/10.18419/DARUS-4801, DaRUS, V1, UNF:6:kR8BEJgV33K792gINT4dbA== [fileUNF] The benchmark dataset was generated through a comprehensive simulation study of the deep drawing process for DP600 sheet metal, incorporating variations in geometry, material properties, and process parameters. The simulations were based on the deep drawing of modified quadratic cups with a length of 210 mm and a drawing depth of 30 mm. Three disti...
113525_116825.zip Apr 2, 2025 - Deep Drawing and Cutting Simulations Dataset ZIP Archive - 55.2 GB - MD5: 65ab1b76a57cde2fd56f4afddc397818 Data Contains all simulations with ID between 113525 and 116825.

XCY.gro

Apr 3, 2025 - Supplementary material for ''Ring-Expansion Metathesis Polymerization under Confinement"

Unknown - 9.7 KB -

XCY.top

Apr 3, 2025 - Supplementary material for ''Ring-Expansion Metathesis Polymerization under Confinement"

Unknown - 108.6 KB -

Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks

Apr 2, 2025 - Scientific Computing

Helmann, Maksim; Strack, Alexander; Pflüger, Dirk, 2025, "Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks", https://doi.org/10.18419/DARUS-4743, DaRUS, V1

This repository complements the identically titled paper submitted to WAMTA 2025 and allows to reproduce the published results. For a more description please consider the README.md file.

README.md

Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks

Markdown Text - 3.5 KB -

test_input_19.txt

Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks

Plain Text - 10.2 MB -

test_output_19.txt

Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks

Plain Text - 9.8 MB -

training_input_19.txt

Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks

Plain Text - 10.1 MB -

training_output_19.txt

Apr 2, 2025 - Replication Data for: GPRat: Gaussian Process Regression with Asynchronous Tasks

Plain Text - 9.7 MB -

Deep Drawing and Cutting Simulations Dataset

Apr 2, 2025 - DFG SPP 2422

Baum, Sebastian; Heinzelmann, Pascal, 2025, "Deep Drawing and Cutting Simulations Dataset", https://doi.org/10.18419/DARUS-4801, DaRUS, V1, UNF:6:kR8BEJgV33K792gINT4dbA== [fileUNF]

The benchmark dataset was generated through a comprehensive simulation study of the deep drawing process for DP600 sheet metal, incorporating variations in geometry, material properties, and process parameters. The simulations were based on the deep drawing of modified quadratic cups with a length of 210 mm and a drawing depth of 30 mm. Three disti...

113525_116825.zip

Apr 2, 2025 - Deep Drawing and Cutting Simulations Dataset

ZIP Archive - 55.2 GB -

Data

Contains all simulations with ID between 113525 and 116825.

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