Results 191 to 200 of about 115,093 (312)

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Augmentation Blending with Clustering-Aware Outlier Factor: An Outlier-Driven Perspective for Enhanced Contrastive Learning

Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui   +3 more
openalex   +1 more source

HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection [PDF]

Yali Fu, Jindong Li, Jiahong Liu, Qianli Xing, Yanyan Wang, Irwin King   +5 more
openalex   +1 more source

FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning

, 2023
Athanasios Psaltis, Christos Chatzikonstantinou, Charalampos Z. Patrikakis, Petros Daras   +3 more
openalex   +1 more source

Prototypical Contrastive Learning of Unsupervised Representations [PDF]

, 2020
Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher   +3 more
openalex   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 more
wiley   +1 more source

Patch-sampled contrastive learning for dense prediction pretraining in metallographic images. [PDF]

Sci Rep
Li M, Liu Y, Chen D, Bao J, Huo Y.
europepmc   +1 more source

NeuroMoCo: A Neuromorphic Momentum Contrast Learning Method for Spiking Neural Networks [PDF]

Yuqi Ma, Huamin Wang, Hangchi Shen, Xuemei Chen, Shukai Duan, Shiping Wen   +5 more
openalex   +1 more source

Miniature Nanomesh Mechano‐Acoustic Sensor with Wide Linear Dynamic Range, Broad Bandwidth, and Flat Frequency Response

Advanced Functional Materials, EarlyView.
A miniaturized mechano‐acoustic sensor is developed using an electrospun PVDF nanomesh as the diaphragm in a capacitive sensor structure. Unlike conventional nanomesh‐based sensors, it achieves high linear sensitivity, a broad and flat frequency response, and a compact form factor.
Jeng‐Hun Lee, Kang Hyuk Cho, Seojin Yun, Siyoung Lee, Woongji Kim, Yunsik Kim, Wonkyu Moon, Yoonyoung Chung, Kilwon Cho   +8 more
wiley   +1 more source

Semi-Supervised Radar Work Mode Recognition Based on Contrastive Learning. [PDF]

Sensors (Basel)
Sun P, Du M, Li Z, Chen X, Shi J.
europepmc   +1 more source