Results 241 to 250 of about 1,551,832 (303)

KupferDigital: Ontology‐Based Digital Representation for the Copper Life Cycle

Advanced Engineering Materials, EarlyView.
It is demonstrated how data from different stages in the life cycle of a copper product can be stored in an ontology‐based data space. In order to showcase the methods and tools used in the project, four use cases are presented that show how data from different sources can be semantically described and queried from a shared data space.
Miriam Eisenbart, Thomas Hanke, Felix Bauer, Hossein Beygi Nasrabadi, Kurt Junghanns, Gordian Dziwis, Ladji Tikana, Ashak Mahmud Parvez, Karl Gerald van den Boogaart, Mohsin Sajjad, Valerie Friedmann, Johannes Preußner, Anantha Narayanan Ramakrishnan, Sandy Klengel, Lars‐Peter Meyer, Michael Martin, Ulrich Ernst Klotz, Birgit Skrotzki, Matthias Weber   +18 more
wiley   +1 more source

Editorial: Omics in seed development: challenges and opportunities for improving of seed quality and yield in model and crop plants. [PDF]

Front Plant Sci
Yang C, Hu Z, Datla R, Xiang D.
europepmc   +1 more source

Dataset Topic modelling De Gids

, 2019
Leon van Wissen
openalex   +2 more sources

A Workflow‐Centric Approach to Generating FAIR Data Objects for Computationally Generated Microstructure‐Sensitive Mechanical Data

Advanced Engineering Materials, EarlyView.
A novel metadata schema is introduced to address the sparsity of microstructure‐sensitive mechanical data. The design follows the material modeling workflow, as each run results in the definition of unique data objects. The schema includes categorical elements to ensure findability, accessibility, interoperability, and reusability (FAIR). This approach
Ronak Shoghi, Alexander Hartmaier
wiley   +1 more source

Examining hurricane-related social media topics longitudinally and at scale: A transformer-based approach. [PDF]

PLoS One
Murthy D, Kurz SE, Anand T, Hornick S, Lakuduva N, Sun J.   +5 more
europepmc   +1 more source

Revealing the γ′ and γ″ Phase Fractions of Additively Manufactured and Differently Heat‐Treated Nickel‐Base Superalloy IN718 by Atom Probe Tomography and Their Impact on Mechanical Properties

Advanced Engineering Materials, EarlyView.
Additive manufacturing is a promising route for the production of Ni‐base superalloys for turbine applications, such as Inconel 718. Nonetheless, it induces various changes in the microstructure and performance of these materials. One such change is the incidence of the δ‐Ni3Nb phase, whose impact on microstructure, aging precipitate fractions, and ...
Guilherme Maziero Volpato, Jan Vollhüter, Benedikt Diepold, Martin Sebastian Meier, Martin Pröbstle, Mathias Göken, Thomas Niendorf, Peter Felfer, Steffen Neumeier   +8 more
wiley   +1 more source

Building a synthesis-ready research ecosystem: fostering collaboration and open science to accelerate biomedical translation. [PDF]

BMC Med Res Methodol
Bannach-Brown A, Rackoll T, Macleod MR, McCann SK.   +3 more
europepmc   +1 more source

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

Advanced Engineering Materials, EarlyView.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier, Celso Ricardo Caldeira Rêgo, Han Lin Mai, Ujjal Saikia, Osamu Waseda, Markus Apel, Felix Arendt, Alexander Aschemann, Bernd Bayerlein, Robert Courant, Gordian Dziwis, Florian Fuchs, Ulrich Giese, Kurt Junghanns, Mohamed Kamal, Lukas Koschmieder, Sebastian Leineweber, Marc Luger, Marco Lukas, Jürgen Maas, Jana Mertens, Björn Mieller, Ludger Overmeyer, Norbert Pirch, Jan Reimann, Sebastian Schröck, Philipp Schulze, Jörg Schuster, Alexander Seidel, Oleg Shchyglo, Marek Sierka, Frank Silze, Simon Stier, Marvin Tegeler, Jörg F. Unger, Matthias Weber, Tilmann Hickel, Jörg Schaarschmidt   +37 more
wiley   +1 more source

Predicting MBTI personality of YouTube users. [PDF]

Sci Rep
Stracqualursi L, Agati P.
europepmc   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source