Results 51 to 60 of about 299,799 (244)

Correlation between the Molecular Structure and Viscosity Index of CTL Base Oils Based on Ridge Regression. [PDF]

ACS Omega, 2022
Zhang C, Wang H, Yu X, Peng C, Zhang A, Liang X, Yan Y.   +6 more
europepmc   +1 more source

Critical dynamics of an isothermal compressible non-ideal fluid

, 2012
A pure fluid at its critical point shows a dramatic slow-down in its dynamics, due to a divergence of the order-parameter susceptibility and the coefficient of heat transport.
A. Onuki, Fathollah Varnik, G. F. Mazenko, G. L. Gaines Jr., H. E. Stanley, J. K. Bhattacharjee, J. Lowengrub, J. P. Boon, J. V. Sengers, J.-P. Hansen, K. Kawasaki, L. D. Landau, Markus Gross, O. G. Mouritsen, P. Kopietz, P. M. Chaikin, S. P. Das, S.-K. Ma, U. Frisch   +18 more
core   +1 more source

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Effects of polydispersity on the glass transition dynamics of aqueous suspensions of soft spherical colloidal particles

, 2017
Thermoresponsive poly(N-isopropylacrylamide) (PNIPAM) particles of a nearly constant swelling ratio and with polydispersity indices (PDIs) varying over a wide range (7.4% - 48.9%) are synthesized to study the effects of polydispersity on the dynamics of ...
Bandyopadhyay, Ranjini, Behera, Sanjay Kumar, Gadige, Paramesh, Saha, Debasish   +3 more
core   +1 more source

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

Advanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song, Evelyn Kubacki, Alexander Berger, Markus Retsch   +3 more
wiley   +1 more source

On the correlation between fragility and stretching in glassforming liquids

, 2006
We study the pressure and temperature dependences of the dielectric relaxation of two molecular glassforming liquids, dibutyl phtalate and m-toluidine. We focus on two characteristics of the slowing down of relaxation, the fragility associated with the ...
Alba-Simionesco C, Alba-Simionesco C, Angell C A, Bridgman P W, Bridgman P W, Chauty-Cailliaux A, Christiane Alba-Simionesco, Cutroni M, Cécile Dalle-Ferrier, Fujimori H, Gilles Tarjus, Kristine Niss, Morineau D, Nielsen A Cristensen T Olsen N B Dyre J C, Niss K Dalle-Ferrier C Alba-Simionesco C, Roland C M, Tölle A, Würflinger A   +17 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

ASTM Viscosity Tables for Kinematic Viscosity Conversions and Viscosity Index Calculations

, 1972
Description This publication provides a convenient and compact reference and set of tables for the two most frequently used ASTM viscosity methods, D 2161-66 (1971)—ASTM Standard Method for Conversion of Kinematic Viscosity to Saybolt Universal Viscosity or to Saybolt Furol Viscosity D 2270-64 (1968)—ASTM Standard Methods for Calculating
openaire   +2 more sources

Tuning the Electronic Structure and Spin State of Fe─N─C Catalysts Using an Axial Oxygen Ligand and Fe Clusters for High‐Efficiency Rechargeable Zinc–Air Batteries

Advanced Functional Materials, EarlyView.
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou, Yu Mao, Mengyao Chang, Ziyun Wang, Wenke Xie, Cuizhu Ye, Shanghai Wei, Lars Thomsen, Geoffrey I. N. Waterhouse   +8 more
wiley   +1 more source