Results 51 to 60 of about 22,751 (263)

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 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

Impact of C4, C4A and C4B gene copy number variation in the susceptibility, phenotype and progression of systemic lupus erythematosus

Advances in Rheumatology, 2019
Background Complement component 4 (C4) gene copy number (GCN) affects the susceptibility to systemic lupus erythematosus (SLE) in different populations, however the possible phenotype significance remains to be determined.
Kaline Medeiros Costa Pereira, Sandro Perazzio, Atila Granado A. Faria, Eloisa Sa Moreira, Viviane C. Santos, Marcelle Grecco, Neusa Pereira da Silva, Luis Eduardo Coelho Andrade   +7 more
doaj   +1 more source

HyGCN: A GCN Accelerator with Hybrid Architecture [PDF]

2020 IEEE International Symposium on High Performance Computer Architecture (HPCA), 2020
To Appear in 2020 IEEE International Symposium on High Performance Computer ...
Mingyu Yan, Lei Deng 0003, Xing Hu 0001, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang 0004, Dongrui Fan, Yuan Xie 0001   +8 more
openaire   +4 more sources

Densely connected GCN model for motion prediction [PDF]

, 2020
© 2020 The Authors. Computer Animation and Virtual Worlds published by John Wiley & Sons, Ltd. Human motion prediction is a fundamental problem in understanding human natural movements.
Jianjun Zhang, Wang, Li, Fangde Liu, Iulian Poiana, Sebastian, Sebastian Iulian Poiana, Liu, Fangde, Iulian Poiana, S., Xiaosong Yang, Liu, Y., Wang, L., Li, Yanran, Lingteng Qiu, Qiu, Lingteng, Li Wang, Zhang, Jianjun, Zhang, Jian J., Qiu, L., Wang, Zhao, Wang, Z., Zhao Wang, Yang, Xiaosong, Liu, F., Yanran Li   +22 more
core   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

An EV load forecasting method for using GCN-LSTM

Zhejiang dianli
Traditional electric vehicle （EV） load forecasting methods often fail to fully utilize the spatial correlation among EV loads， resulting in low forecasting accuracy.
HUANG Jian, CHEN Jianhong, HE Jianjie, WU Yan, WAN Xiu, CHEN Fan   +5 more
doaj   +1 more source

Análise das áreas suscetíveis a inundações na bacia do rio Forquilhas, São José/SC

GEOUSP: Espaço e Tempo, 2010
O presente trabalho tem como objetivo principal analisar as áreas suscetíveis a inundações da bacia do rio Forquilhas, localizada no município de São José, Santa Catarina.
Francielle da Silva Cardozo, Maria Lúcia de Paula Herrmann, Gabriel Pereira   +2 more
doaj   +1 more source

Synergistic effect of Ag/CuO composites on g-C3N4 nanosheets towards the visible-light active photocatalytic degradation of substituted benzoic acids in novel Ag/CuO@gCN heterojunction composites

Results in Chemistry, 2023
Advanced oxidation processes (AOPs) with heterojunction-based composites have been shown to be effective for a variety of water and/or wastewater treatments.
Marri Pradeep Kumar, Dasari Ayodhya
doaj   +1 more source

SVD-GCN

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
With the tremendous success of Graph Convolutional Networks (GCNs), they have been widely applied to recommender systems and have shown promising performance. However, most GCN-based methods rigorously stick to a common GCN learning paradigm and suffer from two limitations: (1) the limited scalability due to the high computational cost and slow ...
Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine   +2 more
openaire   +2 more sources