Results 171 to 180 of about 20,531,980 (258)

Microstructure‑Dependent Phase Transformations Under High‑Pressure Laser Heating in Additively Manufactured AlCrFe2Ni2

open access: yesAdvanced Engineering Materials, EarlyView.
Additively manufactured AlCrFe2Ni2 with contrasting BCC/B2‐dominant and lamellar FCC + BCC/B2 microstructures exhibits the same pressure‐induced BCC/B2 → HCP transformation. Under laser heating at high pressure, HCP is destabilized, and a cubic BCC/B2 + FCC assemblage is recovered, while the lower‐scan‐speed microstructure transforms at a lower ...
Raimundas Sereika   +5 more
wiley   +1 more source

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Gyroid Structured Globugraphite Carbon Foam With Hierarchical and Tailored Pore Size

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

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

open access: yesAdvanced 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   +11 more
wiley   +1 more source

Diversity of root system architecture and root-shoot biomass allocation in industrial hemp (Cannabis sativa L.). [PDF]

open access: yesPLoS One
Morales EY   +7 more
europepmc   +1 more source

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