Results 121 to 130 of about 142,397 (310)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

Network attack knowledge inference with graph convolutional networks and convolutional 2D KG embeddings

Scientific Reports
To address the challenge of analyzing large-scale penetration attacks under complex multi-relational and multi-hop paths, this paper proposes a graph convolutional neural network-based attack knowledge inference method, KGConvE, aimed at intelligent ...
Weiwu Ren, Hewen Zhang, Ying Lei
doaj   +1 more source

Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration

Advanced Science, EarlyView.
A scalable, additive‐free wearable tailored passive radiative cooling textile (WRCT) with hierarchically structured fibers delivers exceptional thermal management, combining >95% solar reflectance, 0.96 mid‐infrared emissivity, and ultralow thermal conductivity (0.041 W/m·K).
Lung Chow, Jianpeng Zhang, Zehua Peng, Denglin Ye, Binbin Zhang, Jian Li, Wooyoung Park, Chentao Du, Xingcan Huang, Chun Ki Yiu, Yuze Qiu, Jingkun Zhou, Zhenlin Chen, Yuyu Gao, Weibin Zhu, Pengcheng Wu, Guangyao Zhao, Qiang Zhang, Yuan Guo, Zuowei Sun, Zhan Shen, Shuaiqi Ren, Sang Min Won, Jiyu Li, Xinge Yu   +24 more
wiley   +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

A Gallery-Guided Graph Architecture for Sequential Impurity Detection

IEEE Access, 2019
Ambiguous appearance discrimination plays an important role in the impurity detection task. Among the majority of deep learning models, images from every sequence are processed separately instead of being considered collectively.
Wenhao He, Haitao Song, Yue Guo, Xiaoyi Yin, Xiaonan Wang, Guibin Bian, Wen Qian   +6 more
doaj   +1 more source

ConvDySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention and Convolutional Neural Networks [PDF]

, 2021
Hafez, Ahmad, Atulya Praphul, Yousef Jaradt, E Eliza Godwin   +3 more
openalex   +1 more source

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

Advanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su, Qi Qi, Yi Fan, Yubo Wang, Gaoyang Hao, Ka‐Chun Wong, Yunhe Wang, Xiangtao Li   +7 more
wiley   +1 more source

Path Connectivity Based Neighbor‑Awareness Node Classification Algorithm

Shuju Caiji Yu Chuli
Graph convolutional neural networks obtain the node representation by aggregating the neighbor node information with high similarity，and selecting the appropriate neighborhood for the node and conducting effective aggregation are the keys to the graph ...
ZHENG Wenping, WANG Xiaomin, HAN Zhaorong   +2 more
doaj   +1 more source

Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions [PDF]

, 2021
Di Zhu, Yu Liu, Xin Yao, Manfréd M. Fischer   +3 more
openalex   +1 more source