Results 141 to 150 of about 571,567 (314)

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.13.0

<h1>v0.13.0 (2024-02-19)</h1> <h2>Feature</h2> <ul> <li>feat: Ensure that all model names are consistent</li> </ul> <p>i.e. that they have the same name as they would have on the benchmark (<a href=
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.4.0

<h1>v0.4.0 (2024-01-15)</h1> <h2>Feature</h2> <ul> <li>feat: Allow tasks to be passed to benchmark instead of just strings (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Lasse Hansen, Márton Kardos, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

Advanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev, Noah‐Lean Roschlaub, Anne Jung   +2 more
wiley   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.11.1

<h1>v0.11.1 (2024-02-04)</h1> <h2>Documentation</h2> <ul> <li>docs: restructured dataset overview (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Experimental and Numerical Modal Analysis of Composite Sandwich Structures Using Surfboards as Model Systems

Advanced Engineering Materials, EarlyView.
This article presents an experimental and numerical modal investigation of composite sandwich structures using surfboards as model systems. By comparing different core materials and reinforcement strategies, the study demonstrates how local stiffeners influence vibrational response and introduce characteristic modal features, highlighting modal ...
Brett Connellan, Luca Lomazzi, Mathis Mercier, Kara Stark, Marc in het Panhuis   +4 more
wiley   +1 more source

Benchmarking the Benchmarks [PDF]

Journal of Quality Assurance in Hospitality & Tourism, 2001
openaire   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.12.1

<h1>v0.12.1 (2024-02-15)</h1> <h2>Documentation</h2> <ul> <li>docs: Added dataset disclaimer (#145) (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source