Results 161 to 170 of about 6,792,843 (299)

Influence of Particle Shape and Size in Copper‐Based Low‐Temperature Metallization Paste for Solar Cells

Advanced Engineering Materials, EarlyView.
Particle morphology controls the balance between printability and electrical connectivity in low‐temperature AgCu/Ag metallization pastes. Flake‐shaped AgCu particles form extended low‐resistance contacts, whereas spherical particles favor processability at high metal loading. Fine Ag particles further tune void filling and conductive‐network formation
O. Mhirsi, M. N. Wengenmeyr, J. Bartsch, B. E. Rapp   +3 more
wiley   +1 more source

R3Net: Recursive Residual Refinement Network Architecture for Decoder-Free Medical Image Segmentation. [PDF]

Precis Radiat Oncol
Huang J, Zhao Y, Li Y, Dai Z, Chen C, Lai Q.   +5 more
europepmc   +1 more source

Gyroid Structured Globugraphite Carbon Foam With Hierarchical and Tailored Pore Size

Advanced Engineering Materials, EarlyView.
Secondary sacrificial templates were designed and printed to create a defined network within a porous carbon. Lattices thermally degrades during the sintering process. Lattices are imprinted into the ceramic template and transferred to the morphology of Globugraphite.
Christiane Roller, Justin Neumann, David Ploch, Lennard M. Flohr, Julian Karsten, Fabian A. Riebesehl, Bodo Fiedler   +6 more
wiley   +1 more source

Rethinking osteocyte models <i>in vitro</i>: the need for mineralised extracellular matrix and network architecture. [PDF]

Front Bioeng Biotechnol
Morenc M, Medeiros Savi F, Tits A, Buenzli PR, Weinkamer R, Fratzl P, Bock N.   +6 more
europepmc   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Protein-protein interaction network architecture of human polygenic traits reveals domain-spanning connectivity and evolutionary pressures. [PDF]

Genome Biol
Tamandeh E, Kunwar K, Bigge J, Serohijos A, Schumacher J, Maj C, Dasmeh P.   +6 more
europepmc   +1 more source

Effect of Calendering and Surface Treatment on the Thermochromic Response of Cholesteric Liquid Crystals on PET Nonwovens

Advanced Engineering Materials, EarlyView.
This study explores the influences of calendering and surface treatment during direct ink writing (DIW) of thermochromic cholesteric liquid crystal (CLC) on PET nonwovens. For the PVA‐coated nonwovens, calendering reduces pore size leading to reduced ink absorption and enhanced spreading. The NeverWet‐coated nonwovens improve thermochromic responses by
Sreenivasan Sreenivasan Narayanan, Lineth Pérez Monsalve, Christina Tang, Hong Zhao   +3 more
wiley   +1 more source

Review of Key Technologies in Space-Based Computing Power Networks

天地一体化信息网络
The space-based computing power networks (S-CPN) achieve the connectivity and unified scheduling of on-board computing resources through the networking of computing nodes.
ZHANG Dingyun, DONG Tao, LIU Zhihui, DI Hang, ZHANG Qiwei, WEI Shuotong   +5 more
doaj  

Widespread synaptic density loss in schizophrenia follows molecular and network architecture. [PDF]

Mol Psychiatry
Chopra S, Worhunsky PD, Naganawa M, Zhang XH, Segal A, Labache L, Orchard E, Cropley V, Wood S, Angarita GA, Cosgrove K, Matuskey D, Nabulsi NB, Huang Y, Carson RE, Esterlis I, Skosnik PD, D'Souza DC, Holmes AJ, Radhakrishnan R.   +19 more
europepmc   +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