Results 161 to 170 of about 23,025 (301)

Interface Engineering in Solid‐State Sodium Batteries: Advances in Materials Design, Interfacial Strategies, and Multiscale Characterization

open access: yesInterdisciplinary Materials, EarlyView.
Since solid‐state sodium batteries (SSSBs) are a promising solution for advancing sodium‐based energy storage, it is necessary to systematically summarize the development process of SSSBs. It focuses on the role of interface engineering in addressing challenges such as materials design, interfacial strategies, and multiscale characterization.
Yonghuan Fu, Guosheng Shao, Yong Lei
wiley   +1 more source

Radiation Dose and Risk in the Radiological Investigation of Suspected Non‐Accidental Injury (NAI)

open access: yesJournal of Medical Radiation Sciences, EarlyView.
This study is a retrospective analysis of 362 skeletal surveys performed over a 5‐year period for children under 5 years of age for suspected non‐accidental injury. We present effective dose data and the associated risks of radiation exposure for initial and follow‐up examinations.
Tooba Zaidi, Rikki Nezich
wiley   +1 more source

EP-1519: Implementation of a hybrid superfast Monte Carlo-Pencil beam dose optimizer for proton therapy

open access: bronze, 2017
Ana María Barragán Montero   +5 more
openalex   +1 more source

Data‐Driven Design and Discovery of Metal–Organic Framework/Polymer Mixed Matrix Membranes

open access: yesMacromolecular Materials and Engineering, EarlyView.
Integration of machine learning (ML) to current experimental and computational studies will be central to unlocking the potential of metal–organic framework (MOF)/polymer mixed matrix membranes (MMMs) by guiding materials selection, predicting membrane performance, and even synthesis conditions.
Seda Keskin
wiley   +1 more source

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

open access: yesMacromolecular 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   +7 more
wiley   +1 more source

Development of a Hybrid Parallelism Monte Carlo Transport Middleware on Mesh Geometry

open access: green, 2023
Xin Wang   +7 more
openalex   +1 more source

Technical Review of Magnetic Resonance Fingerprinting Applications in Cerebral Physiology

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mapping of multiple tissue properties through innovative acquisition and computational methods. This review focuses on the application of MRF techniques to cerebral physiology, emphasizing advancements in vascular imaging and the integration of ...
Chieh‐Te Lin   +2 more
wiley   +1 more source

Informed Dictionary‐Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a robust and efficient multidimensional MRI (MD‐MRI) data processing framework for accurately estimating joint frequency‐dependent diffusion‐relaxation distributions, while overcoming computational limitations and noise instability inherent to Monte Carlo (MC) inversion.
Joon Sik Park   +3 more
wiley   +1 more source

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