Results 131 to 140 of about 174,150 (255)

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose   +7 more
wiley   +1 more source

Re-Excision After Positive Margins in Breast-Conserving Surgery: Can a Risk-Based Strategy Avoid Unnecessary Surgery? [PDF]

open access: yesJ Clin Med
D'Archi S   +15 more
europepmc   +1 more source

Ionic Precursors Transformed Into Vinyl Acetate Synthesis Catalyst via Reaction‐Driven Restructuring

open access: yesAdvanced Functional Materials, EarlyView.
This work demonstrates that a simple physical mixture of Pd and Au ionic precursors, KOAc promoter, and SiO2 support can transform into a highly active vinyl acetate synthesis catalyst through reaction‐driven restructuring. The results highlight reaction‐induced restructuring as an innovative and sustainable catalyst design strategy.
Byeong Jun Cha   +11 more
wiley   +1 more source

Simultaneous Enhancement of Performance and Stability in Dual‐Gate a‐IGZO Thin‐Film Transistors via Single‐Step Laser Annealing for Capacitor‐Less DRAM

open access: yesAdvanced Functional Materials, EarlyView.
A single‐step laser annealing strategy is presented for dual‐gate a‐IGZO TFTs. The steep thermal gradient induces graded oxygen doping in the channel and simultaneous WOx removal at the contacts, enabling concurrent interface and contact engineering.
Sihyeon Kwon   +9 more
wiley   +1 more source

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