Results 281 to 290 of about 118,948 (346)

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

Unraveling Hydride‐Driven Multiphasic Reduction Toward Tunable Germanium Structures for Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
The sodium hydride (NaH)‐mediated reduction of germanium dioxide yields distinct Ge structures depending on the amount of reductant, revealing the dual roles of NaH in the reduction pathways. The synthesized Ge under off‐stoichiometric conditions exhibits a porous morphology and reduced crystallinity, which effectively mitigates volume expansion during
Gijung Lee   +12 more
wiley   +1 more source

Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory

open access: yesAdvanced Science, EarlyView.
Schematic and key features of the proposed forward‐forward physical unclonable neural network (FF‐PUNN), incorporating a concealable physical unclonable function (PUF) layer and forward‐forward (FF) learning. ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and ...
Sung‐Ho Park   +8 more
wiley   +1 more source

Supply Chain Volatility of Repackaged Intravitreal Bevacizumab: A Survey of the American Society of Retina Specialists. [PDF]

open access: yesJ Vitreoretin Dis
Al-Khersan H   +12 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy