Results 131 to 140 of about 352,699 (219)

Digital Light Processing of Thermoplastic Poly(methyl methacrylate) Photoresin Combined With Solvent Vapor Smoothing

Advanced Engineering Materials, EarlyView.
A thermoplastic PMMA‐based photoresin enables high‐resolution DLP printing followed by solvent‐vapor smoothing. The treatment reduces staircase‐induced surface roughness from 2.33 µm to 129 nm and increases visible‐light transmittance from approximately 30% to 80%, providing a route toward transparent PMMA components for rapid prototyping and non ...
Rozhin Heydarpour, Yuanyuan Li, Sebastian Kluck, Afnan Quazzie‐Hauser, Bastian E. Rapp, Frederik Kotz‐Helmer   +5 more
wiley   +1 more source

Multi-objective deep deterministic policy gradient for cobot trajectory planning in automotive spot welding. [PDF]

Front Robot AI
Omarov B.
europepmc   +1 more source

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

Hybrid TSA-TLBO optimization of an EF₂ resonant DC-DC converter for energy-efficient fuel cell electric vehicles with reduced battery dependency. [PDF]

Sci Rep
Manuel Raj JM, Vennapusa MKR, Subramani S, Devarajan G.   +3 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

Influence of Fe Particle Size Distribution on Chemical Homogeneity, Microstructure, and Crack Formation in Fe–SiC Powder Blends Processed by PBF‐LB/M

Advanced Engineering Materials, EarlyView.
The influence of Fe particle size on in situ alloying of Fe–SiC powder blends in PBF‐LB/M is revealed. Contrary to expectations, the coarser Fe fraction provides a broader crack‐free processing window and slightly improved elemental homogeneity while producing higher but more variable hardness. The results highlight a complex trade‐off between particle
Anna Luise Strauch, Anastasiya Toenjes, Matthias Steinbacher   +2 more
wiley   +1 more source

Performance enhancement of 6g millimeter wave links via RIS beamforming and CDL-based channel modeling. [PDF]

PLoS One
Swamy K, Turpati S, Medasani S, Addepalli T, Chandra BR, Sharma M, Pathan S.   +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

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

Integrated design for rural microgrids in Egypt incorporating hydrogen energy and vehicle-to-grid technology. [PDF]

Sci Rep
Sayed MS, Alham MH, Ibrahim DK.
europepmc   +1 more source