Results 91 to 100 of about 527,003 (175)

Recent Advances in Wide‐Bandgap Perovskite Solar Cells

Advanced Materials, EarlyView.
Ubiquitous defects predominately account for photo‐instability and open‐circuit voltage losses in wide‐bandgap perovskite solar cells (WBG PSCs). This review comprehensively presents the underlying impact mechanisms, summarizes the advanced optimization strategies across various functional layers and their interfaces to develop efficient and stable WBG
Jianjun Mei, Feng Yan
wiley   +1 more source

Exceptional Thermal Conductivity in Printed Dielectrics through Compositional and Microstructural Design

Advanced Materials, EarlyView.
A multi‐generational compositional design creates a printable low‐loss dielectric composite that achieves over 16 W m−1 K−1. This breakthrough is enabled by thermal post‐processing, which promotes templated crystallization in a polymer matrix from surface‐modified particles, creating a “hetero‐percolated network.” The resulting material is three ...
Daniel J. Braconnier, Evan Z. Toth, José A. Martinez, In‐Chul Yeh, Ryan M. Dunn, Eric D. Wetzel, Randall M. Erb   +6 more
wiley   +1 more source

An integrative review of the combined use of mathematical and statistical models for estimating malaria transmission parameters. [PDF]

Malar J
Grosso A, Hens N, Abrams S.
europepmc   +1 more source

Inorganic Dielectric Materials Coupling Micro‐/Nanoarchitectures for State‐of‐the‐Art Biomechanical‐to‐Electrical Energy Conversion Devices

Advanced Materials, EarlyView.
Biomechanical‐to‐electrical energy conversion devices are uniquely suited for self‐driven physiological information monitoring and powering human–computer interaction systems. These devices based on micro‐/nanoarchitectured inorganic dielectric materials (MNIDMs) have shown ultrahigh electromechanical performance and thus great potential for practical ...
Jia‐Han Zhang, Zhengtong Li, Zeng Liu, Mingxuan Li, Jiaxin Guo, Jinhua Du, Changkun Cai, Shaohui Zhang, Ningning Sun, Yong Li, Xingtao Xu, Xihong Hao, Yusuke Yamauchi   +12 more
wiley   +1 more source

Viscoelastic cell model of sorting in the dictyostelium discoideum slug. [PDF]

PLoS One
Flowerday E, Evans EJ, Grant C, Dallon JC.   +3 more
europepmc   +1 more source

Superior Adhesion of Monolayer Amorphous Carbon to Copper

Advanced Materials, EarlyView.
The adhesion energy of monolayer amorphous carbon on copper substrate is 85 J m−2, 13 times higher than that of graphene due to covalent‐like bonding between the sp2 carbon structure to copper. X‐ray photoelectron spectroscopy (XPS), near‐edge X‐ray absorption (NEXAFS), and (density functional theory) DFT calculations are used to elucidate the ...
Hongji Zhang, Artem K. Grebenko, Konstantin V. Iakoubovskii, Hanning Zhang, Ruslan Yamaletdinov, Anna Makarova, Alexander Fedorov, Rejaul SK, Ranjith Shivajirao, Zheng Jue Tong, Sergey Grebenchuk, Ugur Karadeniz, Lu Shi, Denis V. Vyalikh, Ya He, Andrei Starkov, Alena A. Alekseeva, Chuan Chu Tee, Carlo Mendoza Orofeo, Junhao Lin, Kazutomo Suenaga, Michel Bosman, Maciej Koperski, Bent Weber, Kostya S. Novoselov, Oleg V. Yazyev, Chee‐Tat Toh, Barbaros Özyilmaz   +27 more
wiley   +1 more source

A stochastic modelling framework for cancer patient trajectories: combining tumour growth, metastasis, and survival. [PDF]

J Math Biol
Wieland V, Hasenauer J.
europepmc   +1 more source

Glaphene: A Hybridization of 2D Silica Glass and Graphene

Advanced Materials, EarlyView.
‘Glaphene’, a novel hybrid material combining 2D silica glass and graphene, is synthesized via a scalable liquid precursor‐based vapor‐phase growth. This study reveals interlayer hybridization beyond van der Waals interactions, leading to emergent semiconducting behavior.
Sathvik Ajay Iyengar, Manoj Tripathi, Anchal Srivastava, Abhijit Biswas, Tia Gray, Mauricio Terrones, Alan B. Dalton, Marcos A. Pimenta, Robert Vajtai, Vincent Meunier, Pulickel M. Ajayan   +10 more
wiley   +1 more source

Data-driven material modeling based on the Constitutive Relation Error. [PDF]

Adv Model Simul Eng Sci
Ladevèze P, Chamoin L.
europepmc   +1 more source

Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators

Advanced Materials, EarlyView.
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin, Boyu Zhang, Qianying Cao, Enrui Zhang, Aniruddha Bora, Sridhar Krishnaswamy, George Em Karniadakis, Horacio D. Espinosa   +7 more
wiley   +1 more source