Results 111 to 120 of about 38,613 (267)

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

Zero-Shot Learning for Sustainable Municipal Waste Classification

Recycling
Automated waste classification is an essential step toward efficient recycling and waste management. Traditional deep learning models, such as convolutional neural networks, rely on extensive labeled datasets to achieve high accuracy.
Dishant Mewada, Eoin Martino Grua, Ciaran Eising, Patrick Denny, Pepijn Van de Ven, Anthony Scanlan   +5 more
doaj   +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

A framework for robotic manipulation tasks based on multiple zero shot models

Scientific Reports
Humans tackle unknown tasks by integrating information from multiple sensory modalities. Existing robotic frameworks struggle to achieve effective multimodal manipulation, especially when sufficient training data is lacking.
Yifan Li, Peiyang Jiang, Chengpeng Chai, Xuyang Zhang, Chengguo Liu   +4 more
doaj   +1 more source

Unveiling α‐MoO3 as a High‐Index, Low‐Loss Anisotropic Material: Bridging the Gap From Mid‐Infrared to Ultraviolet Nanophotonics

Advanced Materials, EarlyView.
α‐MoO3 is established as a high‐index, low‐loss anisotropic platform bridging mid‐infrared polaritonics and ultraviolet‐visible nanophotonics. Spectroscopic ellipsometry and calculations reveal refractive indices exceeding 3.9, with the largest in‐plane birefringence among transparent layered crystals at 425–500 nm, enabling zero‐order UV waveplates ...
Adilet N. Toksumakov, Dmitriy V. Grudinin, Georgy A. Ermolaev, Alexey P. Tsapenko, Anton A. Minnekhanov, Konstantin V. Kravtsov, Nikolay V. Pak, Arslan B. Mazitov, Andrey A. Vyshnevyy, Aleksandr S. Slavich, Ivan A. Kruglov, Gleb I. Tselikov, Aleksey V. Arsenin, Kostya S. Novoselov, Valentyn S. Volkov   +14 more
wiley   +1 more source

Zero-Shot 3D Object Classification via Graph-Based Local Geometric Features and Depth-Aware Multi-View Projection

Sensors
Three-dimensional sensing technologies can rapidly acquire 3D point cloud data for object perception and scene understanding. However, point cloud-based object classification is still constrained by limited labeled data and high computational complexity.
Wenchao He, Ying Liu, Hongxi Zhao, Yiran Shi   +3 more
doaj   +1 more source

Variational Zero-Shot Multispectral Pansharpening

IEEE Transactions on Geoscience and Remote Sensing
Pansharpening aims to generate a high spatial resolution multispectral image (HRMS) by fusing a low spatial resolution multispectral image (LRMS) and a panchromatic image (PAN). The most challenging issue for this task is that only the to-be-fused LRMS and PAN are available, and the existing deep learning-based methods are unsuitable since they rely on
Xiangyu Rui, Xiangyong Cao, Yining Li, Deyu Meng   +3 more
openaire   +2 more sources

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

Few-Shot Methods for Aspect-Level Sentiment Analysis

Information
In this paper, we explore the approaches to the problem of cross-domain few-shot classification of sentiment aspects. By cross-domain few-shot, we mean a setting where the model is trained on large data in one domain (for example, hotel reviews) and is ...
Aleksander Wawer
doaj   +1 more source