Results 121 to 130 of about 1,963,594 (263)

The Interplay Between Molybdopterin Synthase and Metal Metabolism Contributes to Pathogenicity in Acinetobacter baumannii

open access: yesAdvanced Science, EarlyView.
Pathogenic Acinetobacter baumannii scavenges metal ions as nutritional elements to survive within the host. This study demonstrates that molybdopterin synthase is essential for pathogenesis and full virulence during infection. Molybdopterin synthase subunit MoaE constitutes an intrinsically disordered C‐terminal histidine rich tail, which mediates ...
Min Jiao   +13 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

Upscaling Sodium‐Ion Battery Cells: From Aqueous Processing to Performance Assessment of Hard Carbon|Prussian White Pouch Cells

open access: yesAdvanced Energy Materials, EarlyView.
This study investigates the feasibility of scaling up Prussian White (PW)‐based cathode manufacturing at a pilot scale. Through careful PW dehydration combined with optimized aqueous processing, we report the stepwise development of industrially relevant 1 Ah pouch cells and evaluate their performance under various conditions.
Faduma M. Maddar   +7 more
wiley   +1 more source

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

open access: yesAdvanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi   +6 more
wiley   +1 more source

On Minimizing Weighted Finite Automata

open access: yes, 2010
加權自動機是一種可以用來模塑許多系統, 非常廣泛的數學模型. 在不同的研究領裡它有不一樣的名字, 例如機率有限自動機 (probabilistic finite automata, PFA) 和隱藏式馬可夫模型 (hidden Markov model, HMM) 等等. 這些模型在很多研究領域裡皆具極為重要的地位, 例如機器學習 (machine learning), 語音處理 (speech processing), 圖像辨認 (pattern recognition), 語言塑模 ...
黃亭遠, Huang, Ting-Yuan
core  

Development and experimental validation of a predictive resilient framework for cyber‐physical systems

open access: yesAIChE Journal, EarlyView.
Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu   +5 more
wiley   +1 more source

Lumped modeling of bubbling fluidized beds for high‐temperature processes

open access: yesAIChE Journal, EarlyView.
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh   +3 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Home - About - Disclaimer - Privacy