Results 171 to 180 of about 1,970,939 (305)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Multi-Factor Aging Mechanism and Multi-Parameter Synergistic Lifetime Prediction of HTV Silicone Rubber Composite Insulators. [PDF]

Polymers (Basel)
Liu H, Wang B, Fu Z, Ning K, Jin Z, Wang H, Jiang Z.   +6 more
europepmc   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Lifetime Prediction and Aging Characteristics of HTV-SiR Under Coupled Electro-Thermo-Hygro-Mechanical Stresses. [PDF]

Polymers (Basel)
Shang B, Fu W, Yang L, Yang Q, Yuan Z, Wang Z, Fan Y.   +6 more
europepmc   +1 more source

On the Influence of Ultimate Number of Cycles on Lifetime Prediction for Compression Springs Manufactured from VDSiCr Class Spring Wire. [PDF]

Materials (Basel), 2020
Geilen MB, Klein M, Oechsner M.
europepmc   +1 more source

Fluorescence Lifetime Imaging Microscopy (FLIM) Data Analysis with TIMP [PDF]

Fluorescence Lifetime Imaging Microscopy (FLIM) allows fluorescence lifetime images of biological objects to be collected at 250 nm spatial resolution and at (sub-)nanosecond temporal resolution.
Vladimir V. Apanasovich, Ivo H. M. van Stokkum, Antonie J. W. G. Visser, Jan Willem Borst, Katharine M. Mullen, Sergey Laptenok   +5 more
core  

Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells

Advanced Materials, EarlyView.
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang, Christopher Wöpke, Toni Seiler, Jared Faisst, Mathias List, Meike Kuhn, Bekcy Joseph, Alexander Ehm, Dietrich R. T. Zahn, Yana Vaynzof, Eva M. Herzig, Roderick C. I. Mackenzie, Uli Würfel, Maria Saladina, Carsten Deibel   +14 more
wiley   +1 more source

An integrated method for state of charge estimation, lifetime prediction, and reliability assessment of Lithium-ion batteries under thermal and dynamic conditions. [PDF]

PLoS One
Mobasheri P, Aranizadeh A, Vahidi B.
europepmc   +1 more source

Lifetime prediction of highly loaded composite structures

, 2003
A method of lifetime approval for composite spar beams has been developed. At first, the general fatigue response of the used material components has to be evaluated.
Krause, O., Kensche, C.
core  

Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond

Advanced Materials, EarlyView.
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang, Avirup Sardar, Weijie Ji, Zhongyu Liu, Rongchao Jin   +4 more
wiley   +1 more source