Results 91 to 100 of about 24,492,385 (310)

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

Integration of OpenCV‐Based Microscopic Adhesive Volume Measurement Into a Pyiron Workflow for Automated Data Analysis

Advanced Engineering Materials, EarlyView.
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley   +1 more source

Graphene for advanced Li/S and Li/air batteries

, 2018
Li/S and Li/air cells have attracted much recent attention as potential successors to lithium ion batteries because of their exceptionally high energy density compared with current battery technology.
Kim, Haegyeom, Kisuk Kang, Kim, Jinsoo, Lim, Hee-Dae   +3 more
core   +2 more sources

Recent Developments and Future Challenges in Designing Rechargeable Potassium-Sulfur and Potassium-Selenium Batteries

Energies, 2020
The use of chalcogenide elements, such as sulfur (S) and selenium (Se), as cathode materials in rechargeable lithium (Li) and sodium (Na) batteries has been extensively investigated.
Suyeong Lee, Jun Lee, Jaekook Kim, Marco Agostini, Shizhao Xiong, Aleksandar Matic, Jang-Yeon Hwang   +6 more
doaj   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

Advanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz, Jonas Fell, Hendrik Jost, Stefan Diebels, Hans‐Georg Herrmann   +4 more
wiley   +1 more source

Designing a Safe Electrolyte Enabling Long‐Life Li/S Batteries

, 2019
Lithium–sulfur (Li/S) batteries suffer from “shuttle” reactions in which soluble polysulfide species continuously migrate to and from the Li metal anode. As a consequence, the loss of active material and reactions at the surface of Li limit the practical
Marco Agostini, Carmen Cavallo, Matthew Sadd, Ahn J. H., Ahn, Jou Hyeon,, Shizhao Xiong, Heo J., Matic A., Jou Hyeon Ahn, Heo, Jungwon,, Cavallo, Carmen, Matic, Aleksandar,, Sadd, Matthew,, Aleksandar Matic, Cavallo C., Sadd, Matthew, Matic, Aleksandar, Agostini, Marco,, Ahn, Jou Hyeon, Heo, Jungwon, Agostini M., Sadd M., Cavallo, Carmen,, Agostini, Marco, Xiong S., Xiong, Shizhao, Jungwon Heo, Xiong, Shizhao,   +27 more
core   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Role of structural defects in olivine cathodes [PDF]

, 2012
The high rate capability and structural stability of the olivine phosphates attracted a lot of interest as promising cathode materials for high energy density batteries.
Kandhasamy, S., Nallathamby, K., Minakshi, M.   +2 more
core  

Transition metal phosphides: New generation cathode host/separator modifier for Li–S batteries

, 2021
Owing to their promising applications including, aircrafts, military field, and submarines, lithium–sulfur (Li–S) batteries with high energy density (2500 W h kg−1) are emerging as the next-generation energy storage system with low cost to replace ...
Huang, Song, Zhang, Yufei, Ye, Minghui, Ang, Edison Huixiang, Yang, Yang, Li, Cheng Chao   +5 more
core   +1 more source