Results 171 to 180 of about 379,758 (236)

Low‐Cost, Large‐Scale Nanoporous Metals by Mechanical Alloying, Oxide Reduction, and Dealloying of Powders

Advanced Engineering Materials, EarlyView.
Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley   +1 more source

Magnetoencephalography Dimensionality Reduction Informed by Dynamic Brain States. [PDF]

Eur J Neurosci
Cathignol AE, Kusch L, Angiolelli M, Lopez ET, Polverino A, Romano A, Sorrentino G, Jirsa V, Rabuffo G, Sorrentino P.   +9 more
europepmc   +1 more source

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

Ten quick tips for effective dimensionality reduction.

PLoS Computational Biology, 2019
Lan Huong Nguyen, Susan Holmes
doaj   +1 more source

Randomized Spatial PCA (RASP): A computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data. [PDF]

PLoS Comput Biol
Gingerich IK, Goods BA, Frost HR.
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

Dimensionality reduction in hyperspectral imaging using standard deviation-based band selection for efficient classification. [PDF]

Sci Rep
Kurz W, Wang K, Bektas F, Zhu C, Kariper E, Dong X, Kurz M, Jakobi M, Baranes D, Koch AW.   +9 more
europepmc   +1 more source

The Impact of High‐Productivity Processing on the Fatigue Failure of an Additive Manufactured Superalloy HAYNES 282

Advanced Engineering Materials, EarlyView.
The low cycle fatigue life of additive manufactured HAYNES® 282® superalloy was investigated for conventional and high‐productivity processing: samples of the former lasted 1400–1700 cycles, while samples of the latter failed at ~ 1200 cycles, at 760 °C and 1% strain.
Abdul Shaafi Shaikh, Ahmed Fardan, Tatiana Mishurova, Eduard Hryha   +3 more
wiley   +1 more source

Big data dimensionality reduction-based supervised machine learning algorithms for NASH diagnosis. [PDF]

BMC Bioinformatics
Tutsoy O, Ozturk HA, Sumbul HE.
europepmc   +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