Zhenguo Nie

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Yiming Kevin RongWorcester Polytechnic InstituteVerifierad e-postadress på wpi.edu
Levent Burak KaraCarnegie Mellon UniversityVerifierad e-postadress på cmu.edu
Gang WANGInstitute of Materials, Shanghai UniversityVerifierad e-postadress på shu.edu.cn
Haoliang JiangR&D at AnsysVerifierad e-postadress på ansys.com
Dehao LiuBinghamton UniversityVerifierad e-postadress på binghamton.edu
Kate S. WhitefootCarnegie Mellon UniversityVerifierad e-postadress på cmu.edu
Sangjin JungAssistant Professor of Mechanical Engineering, Southern Illinois UniversityVerifierad e-postadress på siu.edu
Badri K NarayananLincoln Electric CompanyVerifierad e-postadress på lincolnelectric.com
Nan LiImperial College LondonVerifierad e-postadress på imperial.ac.uk
Haosu ZhouImperial College LondonVerifierad e-postadress på imperial.ac.uk
Amir Barati FarimaniRussell V. Trader Associate Professor at Carnegie Mellon UniversityVerifierad e-postadress på stanford.edu
longchao caoWuhan textile univeristyVerifierad e-postadress på wtu.edu.cn
Jie YinGemological Institute, Advanced Manufacturing Research Institute, China University of GeosciencesVerifierad e-postadress på cug.edu.cn
Liang HaoChina University of Geosciences（Wuhan）Verifierad e-postadress på cug.edu.cn
Liang GAOProfessor of Industrial Engineering, Huazhong University of Science and TechnologyVerifierad e-postadress på mail.hust.edu.cn
Tianmu WangPhd Candidate, Tsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Qizhi MengTsinghua University, Tokyo Tech, Science Tokyo, Uni DuE, RWTH AachenVerifierad e-postadress på mail.tsinghua.edu.cn
Roby LynnGeorgia Institute of TechnologyVerifierad e-postadress på gatech.edu
Thomas KurfessGeorgia Institute of TechnologyVerifierad e-postadress på gatech.edu
Meifeng DengInstitute of Botany, Chinese Academy of SciencesVerifierad e-postadress på ibcas.ac.cn

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Zhenguo Nie

Assistant Professor of Mechanical Engineering at Tsinghua University

Verifierad e-postadress på tsinghua.edu.cn - Startsida

Intelligent Design Medical Engineering Robotics AI Vision


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Z Nie, T Lin, H Jiang, LB Kara* Journal of Mechanical Design 143 (3), 031715, 2021	243	2021
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks Z Nie, H Jiang, LB Kara* Journal of Computing and Information Science in Engineering 20 (1), 011002, 2020	236	2020
Experimental study and modeling of H13 steel deposition using laser hot-wire additive manufacturing Z Nie, G Wang*, JD McGuffin-Cawley, B Narayanan, S Zhang, D Schwam, ... Journal of Materials Processing Technology 235, 171-186, 2016	170	2016
StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction H Jiang, Z Nie*, R Yeo, AB Farimani, LB Kara Journal of Applied Mechanics 88 (5), 051005, 2021	119	2021
A review of spatter in laser powder bed fusion additive manufacturing: In situ detection, generation, effects, and countermeasures Z Li, H Li, J Yin*, Y Li, Z Nie, X Li, D You, K Guan, W Duan, L Cao, ... Micromachines 13 (8), 1366, 2022	100	2022
Optimization of part consolidation for minimum production costs and time using additive manufacturing Z Nie, S Jung, LB Kara, KS Whitefoot* Journal of Mechanical Design 142 (7), 072001, 2020	53	2020
Is Additive Manufacturing an Environmentally and Economically Preferred Alternative for Mass Production? S Jung, LB Kara, Z Nie, TW Simpson, KS Whitefoot* Environmental Science & Technology 57 (16), 6373-6386, 2023	44	2023
A Study on Using Image-Based Machine Learning Methods to Develop Surrogate Models of Stamp Forming Simulations H Zhou, Q Xu, Z Nie, N Li* Journal of Manufacturing Science and Engineering 144 (2), 021012, 2022	40	2022
PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer T Wang, Z Nie*, R Wang, Q Xu, H Huang, H Xu, F Xie, XJ Liu Medical & Biological Engineering & Computing, 1-14, 2023	37	2023
An in-situ infrared temperature-measurement method with back focusing on surface for creep-feed grinding D Liu, G Wang*, Z Nie, YK Rong Measurement 94, 645-652, 2016	34	2016
Intelligent Robotics and Applications: 14th International Conference, ICIRA 2021, Yantai, China, October 22–25, 2021, Proceedings, Part IV RS Xin-Jun Liu, Zhenguo Nie, Jingjun Yu, Fugui Xie Springer Nature, 2021	32	2021
Phase-based constitutive modeling and experimental study for dynamic mechanical behavior of martensitic stainless steel under high strain rate in a thermal cycle Z Nie, G Wang*, J Yu, D Liu, YK Rong Mechanics of Materials 101, 160-169, 2016	21	2016
A statistical model of equivalent grinding heat source based on random distributed grains Z Nie, G Wang*, D Liu, YK Rong Journal of Manufacturing Science and Engineering 140 (5), 051016, 2018	20	2018
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation Q Xu, Z Nie*, H Xu, H Zhou, HR Attar, N Li, F Xie, XJ Liu Journal of Applied Mechanics 89 (1), 011002, 2022	18	2022
Investigation of modeling on single grit grinding for martensitic stainless steel Z Nie, G Wang, F Jiang, Y Lin, Y Rong Journal of Central South University 25 (8), 1862-1869, 2018	18	2018
A coupled thermo-mechanical modeling method for predicting grinding residual stress based on randomly distributed abrasive grains Z Nie, G Wang*, L Wang, Y Rong Journal of Manufacturing Science and Engineering 141 (8), 081005, 2019	16	2019
Precision Measurement and Modeling of Quenching-Tempering Distortion in Low-Alloy Steel Components With Internal Threads Z Nie, G Wang*, Y Lin, YK Rong Journal of Materials Engineering and Performance 24 (12), 4878-4889, 2015	14	2015
Design and control of a multi-mobile-robot cooperative transport system based on a novel six degree-of-freedom connector Z Gong, Z Nie*, Q Liu, XJ Liu ISA Transactions, 2023	13	2023
Voxel-based analysis and modeling of MRR computational accuracy in milling process Z Nie, R Lynn, T Tucker, T Kurfess* CIRP Journal of Manufacturing Science and Technology 27, 78-92, 2019	13	2019
CCFD-Net: A novel deep learning model for credit card fraud detection X Liu, K Yan, LB Kara, Z Nie* 2021 IEEE 22nd International Conference on Information Reuse and Integration …, 2021	10	2021

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