Results 171 to 180 of about 460,773 (264)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Enhancing Output Power of a Cantilever-Based Flapping Airflow Energy Harvester Using External Mechanical Interventions. [PDF]

Sensors (Basel), 2019
Wang L, Zhu D.
europepmc   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Control of Laser Output Power

The Review of Laser Engineering, 1984
Norio KARUBE, Nobuaki IEHISA
openaire   +1 more source

Laser Powder Bed Fusion of Copper–Tungsten Composites for Heat Sink Applications in High‐Power Electronics

Advanced Engineering Materials, EarlyView.
This article demonstrates the successful qualification of a copper–tungsten composite for laser powder bed fusion. The resulting components exhibited high density, high thermal conductivity, and reduced thermal expansion. Heat sinks with complex geometries were successfully manufactured, clearly showcasing the material's potential for additive ...
Simon Rauh, Shashank Deepak Prabhu, Jannik Huber, Lioba Fischer, Gerhard Wolf, Nico Hempel, Peter Mayr   +6 more
wiley   +1 more source

Improving Output Power of InGaN Laser Diode Using Asymmetric In_0.15Ga_0.85N/In_0.02Ga_0.98N Multiple Quantum Wells. [PDF]

Micromachines (Basel), 2019
Wang W, Xie W, Deng Z, Liao M.
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Modeling the output power of heterogeneous photovoltaic panels based on artificial neural networks using low cost microcontrollers. [PDF]

Heliyon, 2018
Samara S, Natsheh E.
europepmc   +1 more source

Elinvar Materials: Recent Progress and Challenges

Advanced Engineering Materials, EarlyView.
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley   +1 more source

Enhancing Output Power of Textured Silicon Solar Cells by Embedding Indium Plasmonic Nanoparticles in Layers within Antireflective Coating. [PDF]

Nanomaterials (Basel), 2018
Ho WJ, Liu JJ, Yang YC, Ho CH.
europepmc   +1 more source