Results 191 to 200 of about 157,153 (280)

Advances in Halide Perovskites for Photon Radiation Detectors

Advanced Materials Technologies, EarlyView.
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang, Jieqi Wang, Xiaojun Cui, Carsten Ronning   +3 more
wiley   +1 more source

Reactive MD Screening of Antioxidants for Substituent-Dependent Phenoxyl Radical Stability. [PDF]

ACS Omega
Ahmed S, Eder SJ, Iqbal MM, Dörr N, Martini A.   +4 more
europepmc   +1 more source

Pattern Formation in Non‐Equilibrium Architected Materials

Advanced Materials Technologies, EarlyView.
This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
wiley   +1 more source

Exploring the Potential of Microwave Annealing for Enhancing Si‐based GeSn Lasers

Advanced Materials Technologies, EarlyView.
We explore low‐thermal‐budget microwave annealing to enhance the performance of group‐IV GeSn lasers on Si. Microwave annealing under optimal conditions can simultaneously relax unwanted compressive strain and enhance the material quality of the GeSn active layer, thereby reducing the threshold and increasing the laser operating temperature.
Yue‐Tong Jheng, Cheng‐Feng Liu, Ruei‐Jhang Wang, Yu Cheng, Lung‐Yi Hsu, Yonder Berencén, Shengqiang Zhou, Hanh Thi‐Thu Tran, Guo‐En Chang   +8 more
wiley   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Estimating the Hydrogen Bond Strength by Machine Learning Approaches. [PDF]

ACS Omega
Samangani N, Zahn S.
europepmc   +1 more source

4D Printing of Multimaterial Flexible Magneto‐Active Polymers

Advanced Materials Technologies, EarlyView.
Magneto‐active polymers are 3D‐printed with tunable mechanical and magnetic properties using both superparamagnetic and hard ferromagnetic fillers. Nano‐CT imaging reveals the spatial distribution of particles within the matrix. Programmable magnetization patterns and soft, flexible architectures enable responsive actuation, offering exciting ...
Naji Tarabay, Mahtab Shakibmanesh, Javier Alonso López Medina, Hongyi Guan, Alan Mitchell, Ananya Renuka Balakrishna, Camilo Velez   +6 more
wiley   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

A Machine Learning Quest to Design Molecular Graph Fingerprints of Organic Chromophores for Adjusting Photoluminescent Quantum Yields. [PDF]

ACS Omega
Aljaafreh MJ, Sumrra SH, Noreen S.
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source