Results 151 to 160 of about 2,506,239 (282)

A novel framework for phage-host prediction via logical probability theory and network sparsification. [PDF]

Brief Bioinform
Wei A, Zhan H, Xiao Z, Zhao W, Jiang X.
europepmc   +1 more source

Self‐Reinforcing Degradation of Solution‐Processed Small‐Molecule OLEDs: Excited‐States and Molecular Interactions as Key Triggers

Advanced Functional Materials, EarlyView.
Self‐reinforcing degradation in solution‐processed small‐molecule organic light‐emitting diodes (OLEDs) arises from charge accumulation and exciton‐polaron interactions, leading to molecular aggregation and efficiency loss. This study uncovers the fundamental mechanisms behind this degradation and introduces strategic material engineering approaches ...
Eonji Cha, Junwon Jeon, Hyeon Woo Kim, Han Uk Lee, Joo Yoon Woo, Jun‐Su Yeo, Hyuk Bin Kwon, Sung Beom Cho, Tae‐Hee Han   +8 more
wiley   +1 more source

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

3D Concrete Printing of Triply Periodic Minimum Surfaces for Enhanced Carbon Capture and Storage

Advanced Functional Materials, EarlyView.
A 3D‐printable and carbon‐capturing concrete is developed by replacing cement with diatomaceous earth (DE), which enhances rheology, provides hierarchical porosity, and serves as a nucleation site for carbonation. Maximum absorption of 488.7 gCO2 kgcement−1 is achieved in 7 days, a 142% increase over conventional concrete, and the triply periodic ...
Kun‐Hao Yu, Teng Teng, So Hee Nah, Hua Chai, Yefan Zhi, Kun‐Yu Wang, Yinding Chi, Peter Psarras, Masoud Akbarzadeh, Shu Yang   +9 more
wiley   +1 more source

Exploiting the Functionality of Cerium Oxide‐Modified Carbon Nanohorns Catalysts Toward Enhanced CO2 Reduction Performance

Advanced Functional Materials, EarlyView.
A cerium oxide‐carbon nanohybrid catalyst is synthesized via two distinct routes and is integrated into H‐type cells and gas diffusion layers (GDLs) to enhance electrochemical performance. Structural variations significantly affect performance, with the solvothermal sample exhibiting higher current densities.
Alessia Pollice, Michele Cacioppo, Miriam Marchi, Miriam Moro, Francesco Paolucci, Marcella Bonchio, Maurizio Prato, Giovanni Valenti, Michele Melchionna, Paolo Fornasiero   +9 more
wiley   +1 more source

3D Printing of Functional Mesoporous Silica Monoliths with Embedded Metal and MOF Components

Advanced Functional Materials, EarlyView.
This article presents the development of silica nanocage‐based nano‐inks tailored for digital light processing 3D printing, enabling automated additive manufacturing of mesoporous monoliths. Novel strategies for incorporating metal sites and inducing in situ growth of metal‐organic frameworks are introduced.
Thomas Gaillard, Arianna Bertero, Christine Joly‐Duhamel, Christine Biolley, Bartolomeo Coppola, Nicolas Brun, Anne Galarneau, Tangi Aubert   +7 more
wiley   +1 more source

The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties

Advanced Functional Materials, EarlyView.
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe, Paloma X. Lee, Caterina Czibula, Mónica G. Simões, Reiner Bleher, Keith E. Duncan, Michael Thoman, Christopher N. Topp, Vinayak P. Dravid, Cécile A. C. Chazot   +9 more
wiley   +1 more source

Unlocking the Full Potential of MgAgSb by Unravelling the Interrelation of Phase Constitution and Thermoelectric Properties

Advanced Functional Materials, EarlyView.
Persistent secondary phases govern the performance of many thermoelectric materials, particularly of high performance MgAgSb. In this study advanced microstructural characterization for unequivocal phase identification combined with transport modeling and statistical analysis enabled the quantification of each phase's impact, revealing the most ...
Amandine Duparchy, Frederic Kreps, Eckhard Müller, Johannes de Boor   +3 more
wiley   +1 more source

Removal of Steroid Hormone Micropollutants by an Electrochemical Carbon Nanotube Membrane Flow‐Through Reactor: Role of Concentration and Degradation Mechanisms

Advanced Functional Materials, EarlyView.
A flow‐through electrochemical membrane reactor equipped with a carbon nanotube membrane eliminates the mass transfer limitation, achieving removals >97.5% for steroid hormone (SH) micropollutants through electrochemical adsorption and degradation, over a broad initial concentration varying from 50 to 106 ng L−1.
Siqi Liu, David Jassby, Andrea I. Schäfer   +2 more
wiley   +1 more source