Results 91 to 100 of about 60,078 (257)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Sub‐Nanometer Curvature Unlocks Quantum Orbital Flexoelectricity in Graphene

Advanced Materials, EarlyView.
In self‐assembled, reproducible, large‐area, quasi‐pristine graphene nanowrinkles, extreme curvature forces out‐of‐plane π‐electrons toward hybridization, driving a transition from classical to quantum orbital flexoelectricity. As curvature approaches the fundamental physical limit set by the C─C bond length, the resulting polarization increases by ...
Sathvik Ajay Iyengar, James G. McHugh, Jonathan P. Salvage, Robert Vajtai, Venkataramana Gadhamshetty, Alan B. Dalton, Manoj Tripathi, Pulickel M. Ajayan, Vincent Meunier   +8 more
wiley   +1 more source

Lattice‐Matched 2D Template Enables Efficient Cesium Tin Halide Perovskite Solar Cells

Advanced Materials, EarlyView.
Lattice‐matched 2D perovskite PEA2CsSn2I7 templates the out‐of‐plane growth of inorganic 3D γ‐CsSnI3 along the (110) plane, forming highly oriented 2D/3D tin halide perovskite heterostructures. With reduced trap states and mitigated δ‐phase impurities, the CsSnI3‐based solar cells achieve a power conversion efficiency of 15.27% and maintain stable ...
Hongzhe Anna Xu, Dongxu He, Wencai Zhou, Julian A. Steele, Zhiliang Wang, Zitong Wang, Chengxi Zhang, Shanshan Ding, Bowei Zhang, Huiyuan Cheng, Mengmeng Hao, Jiangyu Hang, Can Zheng, Zilong Zheng, Peng Chen, Lianzhou Wang   +15 more
wiley   +1 more source

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

Advanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis, Filip Aniés, Yiyang Yu, Mohammed Ghadiyali, Hendrik Faber, Zhanibek Bizak, Youssef Kabri, Pavlos Tzourmpakis, Suman Mandal, Linqu Luo, Temur Maksudov, Mohamad Insan Nugraha, Harold F. Mazo‐Mantilla, Patrice Vanelle, Julie Broggi, Khaled N. Salama, Udo Schwingenschlögl, Martin Heeney, Atif Shamim, Thomas D. Anthopoulos   +19 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Space‐Time Coding Conformal Metasurfaces for Multifrequency Beam Steering and Shaping

Advanced Materials, EarlyView.
Space‐time coding conformal metasurfaces enable dynamic wave control on curved surfaces by combining programmable spatial patterns with temporal modulation. This study shows that a single conformal aperture can independently manipulate multiple frequency components, achieving multifunctional beam shaping and steering, with implications for ...
Filippo Pepe, Lei Zhang, Yi Ning Zheng, Xiao Qing Chen, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Tie Jun Cui, Vincenzo Galdi   +8 more
wiley   +1 more source

Fish as a Deformable Solid: An Innovative Method to Characterize Fish Swimming Behavior on Acoustic Videos

IEEE Access
Acoustic cameras are increasingly used for continuous, non-intrusive recording and counting of fish passage in natural environments and artificial structures such as fishways.
Azenor Le Quinio, Francois Martignac, Alexandre Girard, Jean Guillard, Jean-Marc Roussel, Eric de Oliveira   +5 more
doaj   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source