Results 131 to 140 of about 4,870 (273)

High‐Performance Elastomeric Lithium Metal Anodes Enabled by a Lithiophilic Monolayer‐Assembled Nano‐Crumpled Micro‐Concave Architecture

Advanced Energy Materials, EarlyView.
We report an elastomeric lithium metal anode integrating hierarchical nano–micro architectures with uniformly assembled lithiophilic amine functionalities. This design enables synergistic stress and interfacial regulation, effectively suppresses dendritic growth, and ensures stable cycling, highlighting elastomeric anodes as a promising platform for ...
Sungha Choi, Donghyeon Nam, Geon Choi, Seonho Lee, Seungeun Paik, Yongkwon Song, Seungyeop Choi, Jaejin Lim, Woojae Chang, Jeong Gon Son, Daegun Kim, Giwon Lee, Sungjun Park, Yong Min Lee, Seoin Back, Yongmin Ko, Jinhan Cho   +16 more
wiley   +1 more source

Fractional regression models for second stage DEA efficiency analyses [PDF]

Data envelopment analysis (DEA) is commonly used to measure the relative efficiency of decision-making units. Often, in a second stage, a regression model is estimated to relate DEA efficiency scores to exogenous factors. In this paper, we argue that the
Joaquim J.S. Ramalho, Esmeralda A. Ramalho,, Pedro D. Henriques   +2 more
core  

Does Contract Farming Improve Diet Quality? The Case of Senegalese Smallholders

Agribusiness, EarlyView.
ABSTRACT The institution of contract farming has gained prominence in most developing countries owing to its numerous benefits. While several studies have already highlighted the welfare benefits of contract farming, very few have investigated the effects on diet quality, despite poor quality diets being a serious challenge in most parts of the ...
Francis E. Ndip, Takeshi Sakurai
wiley   +1 more source

Modeling the separation of water‐in‐oil emulsions in continuously fed gravity settlers using millifluidic experiments

AIChE Journal, EarlyView.
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin, José Esteban Andino‐Enriquez, Thomas Gouëzec, Maurice Bourrel, Enric Santanach‐Carreras, Nicolas Passade‐Boupat, Laurence Talini, François Lequeux, Pascal Panizza   +8 more
wiley   +1 more source

Predicting Bid-Ask Spreads Using Long Memory Autoregressive Conditional Poisson Models [PDF]

We introduce a long memory autoregressive conditional Poisson (LMACP) model to model highly persistent time series of counts. The model is applied to forecast quoted bid-ask spreads, a key parameter in stock trading operations. It is shown that the LMACP
Axel Groß-Klußmann, Nikolaus Hautsch
core  

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Vapor‐Phase Grain‐Boundary Anchoring Enables Molecular Toughening and Record Bending Endurance in Pilot‐Scale Roll‐to‐Roll‐Printed Flexible Perovskite Modules

Angewandte Chemie, EarlyView.
A vapor‐phase molecular toughening strategy is developed for pilot‐scale roll‐to‐roll (R2R) ‐compatible fabrication of flexible perovskite solar modules. Thiol vapor selectively regulates crystallization and anchors at grain boundaries, reducing defects while enhancing mechanical resilience.
Lirong Dong, Viktor Rehm, Shudi Qiu, Zexian Han, Naveen Harindu Hemasiri, Michael Wurmshuber, Michael Wagner, Cindy‐Ly Tavera‐Méndez, Dorothea Wisser, Chaohui Li, Robin Basu, Leopold Lahn, Olga Kasian, Sarmad Feroze, Wolfgang Heiss, Andreas Distler, Hans‐Joachim Egelhaaf, Fu Yang, Christoph J. Brabec   +18 more
wiley   +2 more sources

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Comment on “Can Charge Transfer Across C─H···O Hydrogen Bonds Stabilize Oil Droplets in Water?”

Angewandte Chemie, EarlyView.
Nanoscale oil droplets in water are kinetically stable and charged, with a pH dependent electrophoretic mobility. Although the source of this charge is agreed to arise from water, 2 main hypotheses remain: OH− adsorption or electronic charge density displaced via hydrogen bonds. Molecular surface specific experiments are reviewed, that all point to the
P. Singh, C. E. Rani, S. Pullanchery, S. Roke   +3 more
wiley   +2 more sources

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

Advanced 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