Results 91 to 100 of about 517,396 (274)

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

Advanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

Malware Classification Using Few-Shot Learning Approach

Information
Malware detection, targeting the microarchitecture of processors, has recently come to light as a potentially effective way to improve computer system security.
Khalid Alfarsi, Saim Rasheed, Iftikhar Ahmad   +2 more
doaj   +1 more source

Laplacian Regularized Few-Shot Learning

, 2020
ICML 2020 ...
Ziko, Imtiaz Masud, Dolz, Jose, Granger, Eric, Ayed, Ismail Ben   +3 more
openaire   +2 more sources

Polymorph‐Specific Electronic Transduction in WO3 during Molecular Sensing

Advanced Materials, EarlyView.
Metal‐oxide polymorphs with similar surface chemistry can nevertheless exhibit distinct sensing properties. In γ‐ and ε‐WO3, analyte adsorption appears comparable; yet, only ε‐WO3 induces a pronounced lattice electronic perturbation that accommodates charge in sub‐conduction band minimum states.
Matteo D'Andria, Meng Yin, Stefan Neuhauser, Vlasis G. Mavrantzas, Ying Chen, Ken Suzuki, Andreas T. Güntner   +6 more
wiley   +1 more source

Towards few-shot learning with triplet metric learning and Kullback-Leibler optimization

Complex & Intelligent Systems
Few-shot learning has achieved great success in recent years, thanks to its requirement of limited number of labeled data. However, most of the state-of-the-art techniques of few-shot learning employ transfer learning, which still requires massive ...
Yukun Liu, Xiaojing Wei, Daming Shi, Dan Xiang, Junliu Zhong, Hai Su   +5 more
doaj   +1 more source

Matrix Viscoelasticity Regulates Dendritic Cell Migration and Immune Priming

Advanced Materials, EarlyView.
Matrix viscoelasticity is a key mechanical feature of the tumor microenvironment but remains poorly understood in immune regulation. Here, we develop a tunable collagen platform to decouple viscoelasticity from stiffness and show that slow‐relaxing matrices constrain dendritic cell migration by limiting actomyosin‐driven matrix remodeling, thereby ...
Wei‐Hung Jung, Emie Humann, Joshua M. Price, Yoav Binenbaum, Azra Haseki, Sanjana Iyer, David J. Mooney   +6 more
wiley   +1 more source

Recent Progress in the Phase‐Controlled Synthesis of Ruthenium Nanocrystals for Catalytic Applications

Advanced Materials, EarlyView.
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He, Zhiqi Wang, Jiaqi Guan, Younan Xia   +3 more
wiley   +1 more source

Alpha MAML: Adaptive Model-Agnostic Meta-Learning

, 2019
Model-agnostic meta-learning (MAML) is a meta-learning technique to train a model on a multitude of learning tasks in a way that primes the model for few-shot learning of new tasks.
Baydin, Atılım Güneş, Behl, Harkirat Singh, Torr, Philip H. S.   +2 more
core  

Low Resistance Interphase Formation at the PEO‐LiTFSI|LGPS Interface in Lithium Solid‐State Batteries

Advanced Materials Interfaces, EarlyView.
Interfacial charge transfer and low‐resistance interphase formation between PEO‐based polymer and Li10GeP2S12 solid electrolytes are investigated using multi‐electrode impedance spectroscopy and advanced analytical techniques such as XPS and ToF‐SIMS.
Ujjawal Sigar, Timo Weintraut, Sebastian L. Benz, Semih Engün, Sascha Kremer, Anja Henss, Felix H. Richter   +6 more
wiley   +1 more source