Results 101 to 110 of about 32,265 (253)

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 more
wiley   +1 more source

Voltage‐Driven Non‐Volatile Interconversion Between Giant Single‐Domain and Multidomain Magnetic States in a Multiferroic Heterostructure

Advanced Science, EarlyView.
Non‐volatile voltage control of magnetic configurations is achieved in a strain‐coupled multiferroic heterostructure. Voltage pulses reversibly interconvert giant single‐domain and multidomain magnetic states, which remain stable at zero applied voltage. ABSTRACT Voltage control of magnetic states in multiferroic heterostructures represents a promising
M. Ghidini, S. Valencia, A. Lesaine, R. Mansell, V. Farenkov, X. Moya, N. A. Stelmashenko, F. Maccherozzi, C. W. H. Barnes, F. Kronast, S. S. Dhesi, N. D. Mathur   +11 more
wiley   +1 more source

Heat‐to‐Electricity Conversion Using Barium Strontium Titanate Multilayer Capacitors

Advanced Science, EarlyView.
Lead‐free barium strontium titanate multilayer capacitors convert waste heat into electricity via the Olsen electro‐thermodynamic cycle. These capacitors achieve an energy density of 3.7 J cm−3, comparable to the performance of lead‐based ceramics. Their high dielectric strength and broad operating temperature window below 100°C make them practical for
Fan Ni, Junning Li, Uros Prah, Youri Nouchokgwe, Yves Fleming, Ashwath Aravindhan, Moiz Khalil, Torsten Granzow, Sakyo Hirose, Veronika Kovacova, Emmanuel Defay   +10 more
wiley   +1 more source

Van der Waals Heterostructures for Next‐Generation Spintronics: Multiferroic‐Mediated Magnetoelectric Properties

Advanced Science, EarlyView.
As CMOS technology approaches fundamental energy limits, new paradigms for low‐power information processing are required. Magnetic systems are attractive for their spin transport, yet current‐induced magnetization control is energy inefficient. Multiferroic heterostructures enable energy‐efficient electric field manipulation of magnetism.
Donghyeon Lee, Jiwoong Yang, Inhyeok Oh, Sanghan Lee   +3 more
wiley   +1 more source

Observation of Magnetic‐Anisotropy Crossover and High‐Temperature Skyrmions in the Dirac Magnet Fe3Ge with a Distorted Kagome Lattice

Advanced Science, EarlyView.
A temperature‐driven magnetic anisotropy crossover is revealed in the Dirac kagome magnet Fe3Ge with a distorted kagome lattice. The transition from easy‐plane to easy‐axis magnetic anisotropy stabilizes robust Bloch‐type skyrmions over an exceptionally wide temperature window of 375–650 K.
Yalei Huang, Xiaowei Lv, Bin Li, Chunqiang Xu, Dhanarajagopal Alltrin, Xiaoxuan Ma, Wanting Yang, Wei Zhou, Xiangzhuo Xing, Wen‐Chin Lin, Raman Sankar, Michael Smidman, Shixun Cao, Dong Qian, Renchao Che, Xiaofeng Xu   +15 more
wiley   +1 more source

Improved Direct Ink Writing of Liquid Metal Foams via Liquid Additives

Advanced Electronic Materials, EarlyView.
The ability to pattern liquid metal is useful for making soft electrical and thermal devices. Dispensing liquid metal from a nozzle naturally results in the formation of spheroidal droplets, making direct‐write printing challenging. Liquid metal foams containing pockets of air can extrude as filaments, albeit inconsistently.
Febby Krisnadi, Tushar Sakorikar, Man Hou Vong, Michael D. Dickey   +3 more
wiley   +1 more source

Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration

Advanced Electronic Materials, EarlyView.
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song, Chenxi Yu, Shangze Li, Dijiang Sun, Jiajia Zhang, Haotong Zhu, Xiaomin Xiao, Xionghao Qin, Xiaoyan Liu, Xing Zhang, Jinfeng Kang   +10 more
wiley   +1 more source

Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses

Advanced Electronic Materials, EarlyView.
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol, Nikhil Garg, Matteo Mazza, Yanming Zhang, Elisa Zaccaria, Wooseok Choi, Bert Jan Offrein, Laura Bégon‐Lours   +7 more
wiley   +1 more source

Nonmonotonic Enhancement of Electro‐Optic Properties of Wurtzite AlN Thin Films by Sc Doping

Advanced Electronic Materials, EarlyView.
EO coefficient, rc, for Sc‐AlN thin films in comparison with that for Mg ZnO thin films (left). Calculated electric field intensity of the fundamental mode supported by the active area that includes Sc‐AlN (right). ABSTRACT Wurtzite ferroelectrics, such as Sc‐doped AlN, have recently attracted considerable attention for their potential in realizing ...
K. Abe, X. Yuan, K. Okamoto, X. Liu, C. Wang, T. Wu, H. Funakubo, S. Kondo, T. Nagasaki, P. Ma, A. Emboras, T. Yamada   +11 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source