Results 171 to 180 of about 23,240 (261)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

Editorial: Advances in the Biology and Conservation of Marine Turtles

open access: yesFrontiers in Marine Science, 2019
Sara M. Maxwell   +6 more
doaj   +1 more source

N‐Doping Activated Presodiation Enhances Sodium‐Ion Provision in Hard Carbon Anodes

open access: yesAdvanced Science, EarlyView.
Introducing pyrrolic‐N sites enables efficient presodiation and stronger PF6− capture, thus pre ‐ forming a robust inorganic‐rich SEI layer in hard carbon anodes. ABSTRACT Hard carbon (HC) is considered the most promising anode material for commercial sodium‐ion batteries (SIBs), yet it still faces critical challenges such as low initial Coulombic ...
Hua Lin   +8 more
wiley   +1 more source

Large‐Scale Growth of Self‐Poled Ferroelectric Rashba Semiconductor α‐GeTe(111) Thin Films: A Crucial Step Towards Future CMOS‐Compatible Ferroelectric Spintronic Devices

open access: yesAdvanced Science, EarlyView.
Ferroelectric Rashba semiconductors promise ultralow‐power devices but lack industry‐quality films. This work demonstrates CMOS‐compatible fabrication of high‐quality α‐GeTe(111) films via magnetron sputtering, enabled by a 5 nm Sb2Te3 seed layer. Structural and ferroelectric analyses show robust, switchable polarization comparable to MBE films, paving
Jules Lagrave   +14 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

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