Results 171 to 180 of about 61,199 (270)

Recent Advances in Pickering Emulsion Templated Phase Change Material Microcapsules: Design, Fabrication, and Multifunctional Applications

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Fabrication process of phase change microcapsules using a Pickering emulsion template method and their subsequent applications. The increasing demand for efficient thermal energy storage systems has driven the development of phase change material microcapsules (PCMMs), which provide high energy‐storage density, reversible phase change, and reduced ...
Ziyan Li, Jinsheng Sun, Kaihe Lv, Chaozheng Liu, Meichun Li   +4 more
wiley   +1 more source

Anode/Electrolyte Interfacial Engineering Toward Sustainable and Practical Solid‐State Metal‐Sulfur Batteries: A Prospective Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Coordinated engineering of the anode, electrolyte, and interface underpins the rational design of next‐generation solid‐state metal‐sulfur batteries. Solid‐state metal‐sulfur batteries are emerging as a transformative energy storage platform with the potential to overcome the fundamental limitations of conventional flooded cells, particularly ...
Ziyu Feng, Hong Zhang, Peng Wang, Ke Lu, Fei Du   +4 more
wiley   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Exponential Stability of Higher Order Fractional Neutral Stochastic Differential Equation Via Integral Contractors

Mathematical Methods in the Applied Sciences, Volume 48, Issue 6, Page 6425-6446, April 2025.
ABSTRACT The well‐posedness results for mild solutions to the fractional neutral stochastic differential system with Rosenblatt process with Hurst index Ĥ∈12,1$$ \hat{H}\in \left(\frac{1}{2},1\right) $$ is discussed in this article. To demonstrate the results, the concept of bounded integral contractors is combined with the stochastic result and ...
Dimplekumar N. Chalishajar, Dhanalakshmi Kasinathan, Ramkumar Kasinathan, Ravikumar Kasinathan   +3 more
wiley   +1 more source

Quantification of Homopolymer Impurities in Structured Acrylate Copolymers Produced by High‐Temperature Semi‐Batch Radical Polymerization

Macromolecular Reaction Engineering, EarlyView.
Isobornyl acrylate macromonomer solutions are synthesized via high‐temperature radical polymerization using a starved‐feed semi‐batch operating policy. Through sequential feeding, the macromonomer solution functions as an addition‐fragmentation agent, facilitating the production of blocky and comb acrylate copolymers.
Elizabeth G. Bygott, Amaris J. Wilkins, Daniel C. Kraiter, Robin A. Hutchinson   +3 more
wiley   +1 more source

Rheological Characterization and Multi‐Regime Viscosity Modeling of Diluted Polyethylene Mixtures

Polymer Engineering &Science, EarlyView.
This study maps the flow behavior of low‐density polyethylene in a recycling solvent from dilute solutions to entangled melts. By integrating time–concentration and time–temperature superposition, and coupling three complementary rheometry methods, a unified semiempirical model accurately predicts steady‐shear viscosity over nine decades of viscosity ...
Johannes Krug, Ernst Georg Viehböck, Alexander Hammer, Ursula Steiner, Christof Murnig, Martin Reichel, Christian Paulik, Gerald Berger‐Weber   +7 more
wiley   +1 more source

Data‐Driven Prediction of Block Copolymer Morphology Using Coarse‐Grained Modeling and Machine Learning

Journal of Polymer Science, EarlyView.
An integrated framework combining high‐throughput CG‐MD simulations, automated image‐based feature extraction, and supervised machine learning enables efficient, interpretable, and data‐driven prediction of block copolymer morphological behaviors.
Lan Xu, Zhaofan Li, Wenjie Xia
wiley   +1 more source

Apparent Pathologies in Stochastic Entropy Production in the Thermalisation of an Open Two-Level Quantum System. [PDF]

Entropy (Basel)
Dexter J, Ford IJ.
europepmc   +1 more source

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

Sensitivity of flower trade‐wind cloud organisation to mesoscale atmospheric heterogeneities

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Trade‐wind cloud organisation is insensitive to dynamical and thermal heterogeneities but very sensitive to humidity mesoscale heterogeneities, especially in the cloud layer, where they form moist patches, and not in the sub‐cloud layer. Clouds and rain develop in moist patches, then cold pools develop progressively, initiating mesoscale circulations ...
Thibaut Dauhut, Fleur Couvreux, Dominique Bouniol   +2 more
wiley   +1 more source