Results 211 to 220 of about 18,946 (293)

Nanocarbon‐Assisted Anthraquinone‐Conjugated Microporous Polymer Anodes for High‐Rate, High‐Areal‐Output, Wide‐Temperature Alkaline Nickel–Organic Batteries

open access: yesSmall Structures, Volume 7, Issue 10, October 2026.
Restrained nanocarbon hybridization turns an anthraquinone‐conjugated microporous polymer into a mass‐efficient anode for organic||Ni(OH)2 alkaline batteries. The Aq‐CMP@SR buckypaper architecture promotes electronic/ionic transport in 1 m KOH, enabling high electrode‐level capacity, record‐level areal output, durable cumulative cycling, and wide ...
Nikhil Medhavi   +5 more
wiley   +1 more source

Vitreous collagen fragment dimensions after vitrectomy: a pilot study addressing the cut-rate enigma. [PDF]

open access: yesGraefes Arch Clin Exp Ophthalmol
Rossi T   +14 more
europepmc   +1 more source

An RGB‐D Approach Assisted by Foundation Models for Reconstructing Bedforms With Artificial Vegetation

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.
Abstract Detecting sand beds in laboratory sediment experiments is challenging, especially when artificial vegetation or other structures are present. RGB‐D cameras offer fast, high‐resolution, and low‐cost sand bed reconstruction. However, the commonly applied Simultaneous Localization and Mapping (SLAM)‐based approaches for RGB‐D data often fail on ...
Xinya Liang   +3 more
wiley   +1 more source

A novel all‐in‐one dynamic wrinkle evaluation system: Development, validation and application in cosmetic industries

open access: yesInternational Journal of Cosmetic Science, Volume 48, Issue 5, Page 926-937, October 2026.
Photo grading of dynamic lines in the dynamic line repeatability validation study. Abstract Objective This study aimed to develop and validate a novel, integrated dynamic wrinkle assessment system based on standardized, real‐time and multi‐angle facial images and video recordings, and to explore its potential application in evaluating the anti‐wrinkle ...
Xingzuo Liu   +6 more
wiley   +1 more source

Machine Learning Enabled Prediction and Interpretation of the Initial Dissolution Rates of Nuclear Waste Glasses

open access: yesInternational Journal of Applied Glass Science, Volume 17, Issue 4, October 2026.
ABSTRACT Accurate prediction of chemical durability, such as dissolution rate, is crucial for glass materials used in diverse applications, including pharmaceutical packaging and nuclear waste disposal. In this work, machine learning‐based prediction models were developed using structural descriptors derived from molecular dynamics (MD) simulations and
Wenqing Xie   +11 more
wiley   +1 more source

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