Results 111 to 120 of about 90,051 (313)

Photocontrolled Synthesis of N-Type Conjugated Polymers

open access: yes, 2019
Current approaches to synthesize π-conjugated polymers are dominated by thermally driven, transition metal-mediated methods. Herein we show that electron-deficient Grignard monomers readily polymerize under visible light irradiation at room temperature ...
Alexandra, Berl   +2 more
core   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices

open access: yesAdvanced Engineering Materials, EarlyView.
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle   +3 more
wiley   +1 more source

Characterisation of organic materials for photovoltaic devices

open access: yes, 2006
This thesis presents an investigation into a wide range of potential materials for organic photovoltaic (PV) devices. A variety of optical techniques are used to define physical parameters for each material such as the photoluminescence quantum yield (
Lewis, Andrew J., Andrew J. Lewis
core  

From non‐doped to dopable: The impact of methoxy functionalization on doping and thermoelectric properties of conjugated polymers

open access: yesEcoMat
The introduction of alkoxy side chains into the backbone of conjugated polymers is an effective way to change their properties. While the impact on the structure and optoelectronic properties of polymer thin films was well‐studied in organic solar cells ...
Hansol Lee   +13 more
doaj   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

open access: yesAdvanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele   +2 more
wiley   +1 more source

Cross‐Conjugated Polymer Semiconductors

open access: yesMacromolecular Rapid Communications
ABSTRACTCross‐conjugated polymer semiconductors represent an unconventional yet promising class of materials with distinct structural and electronic characteristics compared to their linear conjugated counterparts. These systems introduce branched π‐electron delocalization, enabling unique optical, electronic, and redox behaviors not accessible through
Naixin Zhao, Sung Jae Jeon, Yuning Li
openaire   +2 more sources

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

open access: yesAdvanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari   +3 more
wiley   +1 more source

Optical sensors based on conjugated polymers

open access: yes, 2007
Learn how recent advances are fueling new possibilities in textiles, optics, electronics, and biomedicine!As the field of conjugated, electrically conducting, and electroactive polymers has grown, the Handbook of Conducting Polymershas been there to ...
Nilsson, Peter,, Inganäs, Olle,
core  

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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