Results 231 to 240 of about 248,963 (355)

Engineering Trace‐Amount Electrolyte Additives for Aqueous Zinc Batteries

Advanced Energy Materials, EarlyView.
Large‐amount additives primarily modify the bulk electrolyte by coordinating with Zn2+ or reshaping the hydrogen‐bond network, thereby altering the overall solution chemistry. In contrast, trace‐amount additives mainly operate at the electrode–electrolyte interface, regulating Zn deposition through electric double‐layer modulation, interfacial ...
Zhaoxin Li, Jinhua Guo, Longjun Chang, Zhenyu Jiang, Shuchang Liu, Chao Wang, Qi Liu, Baohua Li, Zhiqiang Niu, Qing Li   +9 more
wiley   +1 more source

Cooperative Stabilization of Pickering Emulsions by Starch and Chitin Nanoparticles: Roles of Ball-Milling, Gelatinization, Adsorption, and Viscosity Behavior. [PDF]

ACS Omega
de Oliveira Barros M, Franco Picone CS, Lu Y, de Brito ES, Rosa MF, Rojas OJ.   +5 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

Temperature robustness and viscoelasticity of soy protein-stabilized palm oil emulsions containing glycerol monostearate and oat fiber. [PDF]

J Sci Food Agric
Mello NA, Rousseau D.
europepmc   +1 more source

Reconfigurable Multicompartment Emulsion Drops Formed by Nematic Liquid Crystals and Immiscible Perfluorocarbon Oils

, 2019
Xin Wang, Ye Zhou, Viviana Palacio‐Betancur, Young‐Ki Kim, Lily Delalande, Michael Tsuei, Yu Yang, Juan Pablo, Nicholas L. Abbott   +8 more
openalex   +2 more sources

Excipient Emulsion–Based Delivery Systems for Enhancing Carotenoid Bioavailability: Advances in Formulation and Gastrointestinal Fate

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Excipient emulsion systems improve carotenoid solubilization, protect against degradation, and enhance gastrointestinal absorption through optimized formulation and digestion behavior. ABSTRACT Carotenoids are bioactive compounds that contribute to human health through antioxidant, provitamin A, and disease‐preventive effects.
Tugce Ceyhan, Elifsu Nemli, Esra Capanoglu, Merve Tomas   +3 more
wiley   +1 more source

Chickpea Proteins as Sustainable Ingredients: Techno-Functional Characterization. [PDF]

Foods
Soto-Madrid D, Pérez S, Mella C, Matiacevich S, Zúñiga RN.   +4 more
europepmc   +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

Effect of formulation parameters and process on the structural properties of concentrated Pickering emulsions. [PDF]

RSC Adv
Ramos DM, Assaf MM, Sadtler V, Marchal P, Lemaitre C, Hamieh T, Benyahia L, Roques-Carmes T.   +7 more
europepmc   +1 more source

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