Study on mechanical properties of aeronautical composite material interference-fit structures in hygrothermal service

Authors: QIU Hongjun, ZHONG Zipeng, LIANG Weiying, LIU Chao, CHENG Xiuquan

Source: Hangkong gongcheng jinzhan, Vol 16, Iss 1, Pp 177-186 (2025)

Subject Terms: composite material, interference-fit structure, hygrothermal aging, damage, failure, Motor vehicles. Aeronautics. Astronautics, TL1-4050

File Description: electronic resource

Relation: http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2023197; https://doaj.org/toc/1674-8190

Access URL: https://doaj.org/article/a9bce97b221d4f8ba36cee38090a3fb2

Chemical Property Relation Guided Few-Shot Molecular Property Prediction

Authors: Yao, Shaolun, Feng, Zunlei, Song, Jie, Jia, Lingxiang, Zhong, Zipeng, Song, Mingli

Source: 2022 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2022 International Joint Conference on. :1-8 Jul, 2022

Relation: 2022 International Joint Conference on Neural Networks (IJCNN)

Recent advances in artificial intelligence for retrosynthesis

Authors: Zhong, Zipeng, Song, Jie, Feng, Zunlei, Liu, Tiantao, Jia, Lingxiang, Yao, Shaolun, Hou, Tingjun, Song, Mingli

Subject Terms: Computer Science - Machine Learning, Physics - Chemical Physics, Quantitative Biology - Biomolecules

Access URL: http://arxiv.org/abs/2301.05864

Root-aligned SMILES: A Tight Representation for Chemical Reaction Prediction

Authors: Zhong, Zipeng, Song, Jie, Feng, Zunlei, Liu, Tiantao, Jia, Lingxiang, Yao, Shaolun, Wu, Min, Hou, Tingjun, Song, Mingli

Subject Terms: Computer Science - Machine Learning, Physics - Chemical Physics, Quantitative Biology - Biomolecules

Access URL: http://arxiv.org/abs/2203.11444

Root-aligned SMILES: a tight representation for chemical reaction predictionElectronic supplementary information (ESI) available. See https://doi.org/10.1039/d2sc02763a

Authors: Zhong, Zipeng, Song, Jie, Feng, Zunlei, Liu, Tiantao, Jia, Lingxiang, Yao, Shaolun, Wu, Min, Hou, Tingjun, Song, Mingli

Source: Chemical science. 13(31):9023-9034

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100157402600.0x000001&indx=1&recIds=ETOCvdc_100157402600.0x000001

Explainable Fragment‐Based Molecular Property Attribution

Authors: Jia, Lingxiang, Feng, Zunlei, Zhang, Haotian, Song, Jie, Zhong, Zipeng, Yao, Shaolun, Song, Mingli

Source: Advanced intelligent systems. 4(10)

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100163051132.0x000001&indx=1&recIds=ETOCvdc_100163051132.0x000001

Fast and effective molecular property prediction with transferability map.

Authors: Yao, Shaolun, Song, Jie, Jia, Lingxiang, Cheng, Lechao, Zhong, Zipeng, Song, Mingli, Feng, Zunlei

Source: Communications Chemistry; 4/17/2024, Vol. 7 Issue 1, p1-10, 10p

Subject Terms: FORECASTING, CHEMICAL properties, MATHEMATICAL optimization, TASK performance, PRIOR learning

Recent advances in deep learning for retrosynthesis.

Authors: Zhong, Zipeng¹, Song, Jie², Feng, Zunlei², Liu, Tiantao³, Jia, Lingxiang¹, Yao, Shaolun¹, Hou, Tingjun³, Song, Mingli^1,4, brooksong@zju.edu.cn

Source: WIREs: Computational Molecular Science; Jan/Feb2024, Vol. 14 Issue 1, p1-30, 30p

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