Results 131 to 140 of about 571,567 (314)

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.3.0

<h1>v0.3.0 (2024-01-14)</h1> <h2>Ci</h2> <ul> <li>ci: Updated some names in the workflow (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Lasse Hansen, Márton Kardos, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.11.2

<h1>v0.11.2 (2024-02-05)</h1> <h2>Fix</h2> <ul> <li>fix: Updated table generation of the benchmark (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.11.0

<h1>v0.11.0 (2024-01-29)</h1> <h2>Fix</h2> <ul> <li>fix: Added cache for speed benchmark (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Low Cycle Repetitive Loading of Ti‐6Al‐4V‐Epoxy Composite Lattice Structures for Enhanced Energy Dissipation and Damage Tolerance

Advanced Engineering Materials, EarlyView.
Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon, Jordan Noronha, Justin Dirrenberger, Andrey Molotnikov   +3 more
wiley   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.9.4

<h1>v0.9.4 (2024-01-28)</h1> <h2>Fix</h2> <ul> <li>fix: speed benchmark actually runs the speed tasks (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.12.2

<h1>v0.12.2 (2024-02-17)</h1> <h2>Ci</h2> <ul> <li>ci: Added not planned as valid no stale label (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices

Advanced Engineering Materials, EarlyView.
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle, María Ángeles Navacerrada, Johan Christensen, Carlos González   +3 more
wiley   +1 more source