Results 171 to 180 of about 81,239 (311)

Mechanisms of Reversible Transition in Emulsions Stabilized by Modified Nanocrystalline Cellulose. [PDF]

Molecules
Liu F, Li X, Zhang Z, Li Y, Wang X, Dong S.   +5 more
europepmc   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Comparative evaluation of corn, coconut, and coconut testa oils in sodium alginate-stabilized nanoemulsions processed by microfluidization. [PDF]

Sci Rep
Hewa Pathirana HPDT, Zimoch-Korzycka A, Kulig D, Krawczyk AM, Vahedi S.   +4 more
europepmc   +1 more source

Dual Impact of Long‐Lived Localized Carriers Induced by Restricted Hole Transfer in Organic Photovoltaics and Photocatalytic Hydrogen Evolution

Advanced Energy Materials, EarlyView.
This work clarifies why organic semiconductors perform differently in photovoltaic devices and photocatalytic nanoparticles. By examining D18:Y5 and PM6:Y6 systems, we show how aggregation, exciton lifetime, and interfacial charge transfer behavior govern energy‐conversion pathways.
Gayoung Ham, Sanghyeok An, Wooteak Jung, Hyun Min Kwon, Seonghyeon Kang, Jaehyuk Lee, Sowon Kim, Changwoo Park, Damin Lee, Young Yong Kim, Sungjin Jo, Chang Yun Son, Sae Byeok Jo, Dae Sung Chung, Hyojung Cha   +14 more
wiley   +1 more source

Soy Protein Isolate-Sodium Alginate Composite Particles for Stabilization of High Internal Phase Pickering Emulsions: Structural Characterization and Stabilization Mechanisms. [PDF]

Molecules
Yin Y, Li Y, Li N, Zhang H, Peng X.
europepmc   +1 more source

Emerging Applications of Pickering Emulsions in Pharmaceutical Formulations: A Comprehensive Review

Xingyue Wang, Na Tian, Lili He, Zhixiang Yuan, Lu Han College of Pharmacy, Southwest Minzu University, Chengdu, 610041, People’s Republic of ChinaCorrespondence: Lu Han, Email lunahan@swun.edu.cnAbstract: Over the past two decades, particle-stabilized ...
Han L, Wang X, He L, Tian N, Yuan Z
core  

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

Debranching and OSA esterification of waxy maize starch: effects on nanoparticle properties and emulsion performance. [PDF]

Food Chem X
Liu C, Liang J, Chu Y, Li Z, Wang Z, Lu L, Wang L, Li C.   +7 more
europepmc   +1 more source

Fat Emulsion and ARDS

Chest, 1990
ZAKINTHINOS, S, BALTOPOULOS, G, ROUSSOS, C   +2 more
openaire   +3 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