Tribo-informatics: Concept, architecture, and case study
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Chengliang Liu | Chen Shi | Zhinan Zhang | Nian Yin | Cheng-liang Liu | Chengliang Liu | Zhinan Zhang | Shi Chen | N. Yin
[1] Horst Czichos,et al. A systems analysis data sheet for friction and wear tests and an outline for simulative testing , 1977 .
[2] D. Luo,et al. A systematic approach for the selection of tribological coatings , 2011 .
[3] Hong Liang,et al. Roles of nanoparticles in oil lubrication , 2016 .
[4] M. Baykara,et al. Nanoscale tribology of graphene grown by chemical vapor deposition and transferred onto silicon oxide substrates , 2016 .
[5] Guang Yang,et al. Non-physical Sharpening of Cutting Edge Induced by the Joint-use of Ultrasonic Vibration and Cutting Fluid in Metal-cutting , 2017 .
[6] Zhanqiang Liu,et al. Physic-chemical analysis for high-temperature tribology of WC-6Co against Ti–6Al–4V by pin-on-disc method , 2020 .
[7] Zhinan Zhang,et al. A novel tribometer for investigating bushing wear , 2019, Wear.
[8] Olegas Prentkovskis,et al. Identification of Road-Surface Type Using Deep Neural Networks for Friction Coefficient Estimation , 2020, Sensors.
[9] Sanket A. Deshmukh,et al. Macroscale superlubricity enabled by graphene nanoscroll formation , 2015, Science.
[10] Yongliang Jin,et al. Design and Development of Lubricating Material Database and Research on Performance Prediction Method of Machine Learning , 2019, Scientific Reports.
[11] Jan Olhager,et al. Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration , 2012 .
[12] A. Anber,et al. Preparation of Nanostructured SixN1−x Thin Films by DC Reactive Magnetron Sputtering for Tribology Applications , 2018, Silicon.
[13] Xie You-Bai. Theory of Tribo-Systems , 2011 .
[14] J. Nørskov,et al. Towards the computational design of solid catalysts. , 2009, Nature chemistry.
[15] Paul Jen-Hwa Hu,et al. User acceptance of Intelligence and Security Informatics technology: A study of COPLINK , 2005, J. Assoc. Inf. Sci. Technol..
[16] Alessandro Ruggiero,et al. Tribology of Natural Fibers Composite Materials: An Overview , 2020 .
[17] L. Qian,et al. Prediction of Friction Coefficients During Scratch Based on an Integrated Finite Element and Artificial Neural Network Method , 2020, Journal of Tribology.
[18] Yonggang Meng,et al. A review of recent advances in tribology , 2020 .
[19] Yann LeCun,et al. Feature learning and deep architectures: new directions for music informatics , 2013, Journal of Intelligent Information Systems.
[20] D. Gropper,et al. Hydrodynamic lubrication of textured surfaces: A review of modeling techniques and key findings , 2016 .
[21] Francisco Profito,et al. Multi-Scale Surface Texturing in Tribology—Current Knowledge and Future Perspectives , 2019, Lubricants.
[22] H. Tischer. The BAM tribology index database: a key to the tribological literature , 1989 .
[23] Guang-Zhong Yang,et al. Deep Learning for Health Informatics , 2017, IEEE Journal of Biomedical and Health Informatics.
[24] Xiaoliang Shi,et al. Effects of groove-textured surface combined with Sn–Ag–Cu lubricant on friction-induced vibration and noise of GCr15 bearing steel , 2020 .
[25] B. Shen,et al. Multiscale analysis of friction behavior at fretting interfaces , 2021 .
[26] Zhong Lin Wang. Triboelectric nanogenerators as new energy technology for self-powered systems and as active mechanical and chemical sensors. , 2013, ACS nano.
[27] J. Lee,et al. Single-cell RNA sequencing technologies and bioinformatics pipelines , 2018, Experimental & Molecular Medicine.
[28] Krishna Rajan,et al. Application-Driven Data Analysis , 2009 .
[29] A. Lisiecki. Tribology and Surface Engineering , 2019, Coatings.
[30] Randall S. Davies,et al. Flipping the classroom and instructional technology integration in a college-level information systems spreadsheet course , 2013 .
[31] You Bai Xie,et al. Three Axioms in Tribology , 2000 .
[32] Egon L. Willighagen,et al. The Blue Obelisk—Interoperability in Chemical Informatics , 2006, J. Chem. Inf. Model..
[33] F. E. Kennedy,et al. Bibliographic Databases in Tribology , 1985 .
[34] C. R. Kwang-Hua. Temperature-dependent negative friction coefficients in superlubric molybdenum disulfide thin films , 2020 .
[35] Rufei Yu,et al. Research Progress and Prospect of Surface Texturing in Industrial Tribology , 2017 .
[36] Pietro Borghesani,et al. Automated assessment of gear wear mechanism and severity using mould images and convolutional neural networks , 2020 .
[37] D. Blumenthal,et al. The benefits of health information technology: a review of the recent literature shows predominantly positive results. , 2011, Health affairs.
[38] M. Baykara,et al. Structural lubricity under ambient conditions , 2016, Nature Communications.
[39] H. Hölscher,et al. Friction at atomic-scale surface steps: experiment and theory. , 2008, Physical review letters.