Results 161 to 170 of about 7,760 (206)

Boosting Zinc‐Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The work presents an innovative method for the preparation of mesoporous carbon materials (MCs) from highly graphitized carbon quantum dots. The zinc‐ion hybrid capacitors assembled with MCs deliver high rate performance and stability, providing promising advancements for future energy storage solutions.
Guoli Zhang, Huihui Li, Kaiyue Wang, Gang Li, Kaixi Li, Taotao Guan, Kaiying Wang   +6 more
wiley   +1 more source

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source

Nanofiber PVA‐Based Membranes Incorporating Functionalized Spanish Broom Derivatives for Sustainable Water Purification

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study investigates Spanish broom (Spartium junceum) as a renewable source for electrospun composite membranes in sustainable water purification. MCC and biochar were functionalized with eco‐friendly precursors and nanomaterials (i.e., HNT, β‐CDs) to develop hybrid PVA nanofiber composites.
Giulia Rando, Silvia Sfameni, Jozefien Geltmeyer, Alessandra Palella, Lorenzo Spadaro, Alberto Riminucci, Karen De Clerck, Maria Rosaria Plutino   +7 more
wiley   +1 more source

Lead‐free inorganic halide perovskite‐based synaptic memory for next generation neuromorphic computing

InfoMat, EarlyView.
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda, Deepak Kumar, Iman Biswas, Manisha Sharma, Youngmin Lee, Sejoon Lee, Sanjeev Kumar Sharma, Aniruddha Mondal   +7 more
wiley   +1 more source

Bio‐inspired nanophotonics: Structural color, chirality, and resonance metasurfaces

InfoMat, EarlyView.
A butterfly‐wing‐inspired anisotropic plasmonic flatband resonant metasurface. Insets, photo of the butterfly, Sasakia charonda, and the SEM image of its wing scale (above); the SEM image of the metasurface (below). Abstract The dazzling colors of butterfly wings and hummingbird feathers are not painted with pigments, but crafted by nature's invisible ...
Weihan Liu, Yao Liang, Din Ping Tsai
wiley   +1 more source

Recent advances in organic broad‐spectrum photodetection materials and devices

InfoMat, EarlyView.
Graphical Abstract This review systematically outlines the evolution of organic photodetectors from fullerene‐based to advanced non‐fullerene acceptors, highlighting how molecular engineering (e.g., D–A, quinoidal, and A‐D‐A′‐D‐A architectures) extends spectral response into the short‐wave infrared region.
Yilin Zhao, Shijia Tan, Deyang Ji, Wenping Hu   +3 more
wiley   +1 more source

Intrinsically Stretchable Phosphorescence Light‐Emitting Diodes With Small‐Molecule Emissive Layer

Journal of the Society for Information Display, EarlyView.
This study demonstrates high‐performance, intrinsically stretchable phosphorescent OLEDs by blending a small‐molecule emissive system with an elastomer. To prevent short circuits arising from the spike‐like penetration of AgNW electrodes into the OLED layers, a PMMA interlayer was introduced between PEDOT and AgNW.
Ajay Nimbalkar, Jeong Won Seo, Soo Hyeon Youn, Min Chul Suh   +3 more
wiley   +1 more source

A General Framework for Knowledge Integration in Machine Learning for Electromagnetic Scattering Using Quasinormal Modes

Laser &Photonics Reviews, EarlyView.
Neural networks can accelerate modeling and inverse design of electromagnetic devices by several orders of magnitude, but usually require large amounts of data to train. This work demonstrates that integrating knowledge about quasinormal modes into the network architecture reduces the required amount of training data significantly, while simultaneously
Viktor A. Lilja, Albin J. Svärdsby, Timo Gahlmann, Philippe Tassin   +3 more
wiley   +1 more source

Chain‐End Grafting of RAFT Polyelectrolyte Macroligands to Stabilize Near‐Infrared‐Emitting Gold Nanoclusters

Macromolecular Rapid Communications, EarlyView.
Surface‐functionalized gold nanoclusters (AuNCs) are synthesized in situ by chain‐end grafting of RAFT polyelectrolytes at room temperature directly in water. It leads to highly stable polymer‐AuNCs nanohybrids emitting near‐infrared photoluminescence with µs lifetimes. ABSTRACT With their photoluminescence properties, gold nanoclusters (AuNCs, d<2 nm)
Bárbara Casteleiro, Pierre Alcouffe, Fernande Da Cruz, Agnès Crépet, José Manuel Gaspar Martinho, Marie‐Thérèse Charreyre, José Paulo Sequeira Farinha, Arnaud Favier   +7 more
wiley   +1 more source

A Synergistic Strategy for Data‐Constrained Deep Learning in Materials Science

Materials Genome Engineering Advances, EarlyView.
This work develops a three‐stage machine learning framework for materials property prediction, integrating data preparation, graph‐based model training, and final property inference. By synergistically integrating attention pooling, multi‐task learning, auxiliary tasks, and classification‐corrected regression, this hybrid framework provide a ...
Chun Ting Shao, Yi Chen, Shan Man Song, Jian Xu, Peipei Yang, Qing Bo Yan, Gang Su   +6 more
wiley   +1 more source