Results 161 to 170 of about 368,669 (336)

Composition Restoration Enables Recycling of Mixed‐Cation, Mixed‐Halide Perovskites for Solar Cells

Advanced Materials, EarlyView.
Compositional drift during processing prevents the direct recycling of mixed‐cation, mixed‐halide perovskites. This work introduces a framework to quantitatively audit and restore recovered materials, enabling closed‐loop recycling with efficiencies comparable to virgin perovskites.
Zhenni Wu, Katharina Dammer, Robert Skunde, Mykhailo Sytnyk, Christian Göllner, Fei Ding, Juan S. Rocha‐Ortiz, Albert These, Balázs Imre, Yanxue Wang, Dorothea Wisser, Christoph Brabec, Ian Marius Peters   +12 more
wiley   +1 more source

Using a Zero‐Strain Reference Electrode to Distinguish Anode and Cathode Volume Changes in a Solid‐State Battery

Advanced Materials Interfaces, EarlyView.
Volume changes of a solid‐state battery cell are separated into the individual contributions of anode and cathode. Simultaneously determining the “reaction volumes” of both electrodes requires a reference electrode with a pressure‐independent potential.
Mervyn Soans, Benedikt Huber, Marcel Drüschler, Dominic Bresser, Alberto Varzi, Christoffer Karlsson   +5 more
wiley   +1 more source

Magnetically Actuated Drops‐on‐Stilts Microrobots for Transport and Delivery of Hydrophobic Cargo

Advanced Materials Interfaces, EarlyView.
Iron oxide nanoparticles and oil droplets in external magnetic fields form “drops‐on‐stilts” microrobots that transport hydrophobic cargo. Tunable nanoparticle–droplet interactions generate stilt‐like structures. Field rotation enables walking, obstacle navigation, and collective motion.
Oluwafemi Ligan, Hrishabh Singh, Sahil Kulkarni, Hong Huy Tran, James M. Kikkawa, Daeyeon Lee, Ravi Radhakrishnan, Edward Steager, Hyun Koo, Kathleen Stebe   +9 more
wiley   +1 more source

Mechanical Stress Evolution in Polycrystalline Ge Thin Films Under MeV Ion Irradiation

Advanced Materials Interfaces, EarlyView.
Irradiation of polycrystalline Ge thin films with 1.8 MeV Au ions alters residual stress through defect generation and lattice expansion. Increasing fluence drives progressive lattice disorder and eventual amorphization. Polycrystalline Ge resists amorphization longer than crystalline Ge, as grain boundaries facilitate defect diffusion, significantly ...
Karla J. Paz Corrales, Aaron Reupert, Kevin Lubig, Frank A. Müller, Berit Marx‐Glowna, Ralf Röhlsberger, Till Weickhardt, Giancarlo Soavi, Martin Hafermann, Elke Wendler, Carsten Ronning   +10 more
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

3D Printed PEDOT:PSS‐Based Lattice Pressure Sensors With Tunable Electromechanical Response

Advanced Materials Technologies, EarlyView.
poly(3,4‐ethylenedioxythiophene): polystyrene sulfonate (PEDOT:PSS)‐based architected lattices are fabricated via single‐step Digital Light Processing (DLP) printing for tunable pressure sensing. Structural design variations allow precise control of sensitivity and range, while integrated conductivity eliminates post‐processing.
Ozan Karakaya, Naroa Lopez‐Larrea, Ali Veysel Tunc, Mikel Rincon‐Iglesias, Karin J. Chen, Katja Nau, Senentxu Lanceros‐Mendez, David Mecerreyes, Miryam Criado‐Gonzalez, Gerardo Hernandez‐Sosa   +9 more
wiley   +1 more source

High‐Power Rapid Laser‐Induced Synthesis of Multi‐functional Cobalt Metal‐Organic Framework With an Unprecedented Synthesis Efficiency

Advanced Materials Technologies, EarlyView.
Laser‐assisted synthesis enables rapid (within 1 h) and high‐yield (≥90%) production of Co‐MOFs with mesoporous structures, tunable magnetic and optical properties, and efficient adsorption of N2, CH4, and CO2 for low‐energy gas separation. DFT calculations elucidate the electronic structure and adsorption behavior.
Saliha Mutlu, Bülend Ortaç, Ali Karatutlu, Taylan Gorkan, Engin Durgun, Dilek Soyler, Saniye Soylemez, Jelena Lillepäg, Volkan Filiz, Nergis Arsu, Sevil Savaskan Yilmaz   +10 more
wiley   +1 more source

Magnetic Textiles: A Review of Materials, Fabrication, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Magnetic textiles (M‐textiles) are emerging as a programmable materials platform that merges magnetic matter with hierarchical textile structures. This article consolidates magnetic material classes, textile architectures, and fabrication and magnetization strategies, revealing structure–property–function relationships that govern magneto‐mechanical ...
Li Ke, Moses Kumi, Xiaoming Tao, Junhong Pu   +3 more
wiley   +1 more source

Decoupling the Impact of Deep‐Trap and Band‐Tail States on PbS Quantum Dot Photodetectors via Alkylamine Engineering

Advanced Materials Technologies, EarlyView.
Band‐tail and deep trap states are effectively disentangled through the use of selective alkylamine additives. PA‐driven 2D ordering narrows band tails, while HA enhances halide passivation and Pb coordination to suppress deep traps. A comparative study of their CQD short‐wave infrared (SWIR) photodetectors further reveals whether band‐tail states or ...
Huaying Zhong, Fan Fang, Jasper Guido Ebel, Qian Chen, Lixin Li, Kaiyu Luo, Yihan Song, Andong Zhong, Haibo Zhu, Xiao Wang, Kaijie Ling, Yong Xia, Haodong Tang, Wei Chen, Peter Müller‐Buschbaum   +14 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source