Data-driven computational mechanics

作者: T. Kirchdoerfer , M. Ortiz

DOI: 10.1016/J.CMA.2016.02.001

关键词:

摘要: … law in phase space, the data-driven solutions converge to the classical solution. We … data-driven solvers with respect to spatial discretization. In particular, we show that the data-driven …

参考文章(14)
Christopher M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics) Springer-Verlag New York, Inc.. ,(2006)
Christopher M. Bishop, Pattern Recognition and Machine Learning ,(2006)
X. Feng, G. Fischer, R. Zielke, B. Svendsen, W. Tillmann, Investigation of PLC band nucleation in AA5754 Materials Science and Engineering: A. ,vol. 539, pp. 205- 210 ,(2012) , 10.1016/J.MSEA.2012.01.082
Stefano Curtarolo, Dane Morgan, Kristin Persson, John Rodgers, Gerbrand Ceder, None, Predicting crystal structures with data mining of quantum calculations. Physical Review Letters. ,vol. 91, pp. 135503- ,(2003) , 10.1103/PHYSREVLETT.91.135503
Jeffrey L. Dalsin, Phillip B. Messersmith, Bioinspired antifouling polymers Materials Today. ,vol. 8, pp. 38- 46 ,(2005) , 10.1016/S1369-7021(05)71079-8
Surya R. Kalidindi, Stephen R. Niezgoda, Ayman A. Salem, Microstructure informatics using higher-order statistics and efficient data-mining protocols JOM. ,vol. 63, pp. 34- 41 ,(2011) , 10.1007/S11837-011-0057-7
Curt M Breneman, L Catherine Brinson, Linda S Schadler, Bharath Natarajan, Michael Krein, Ke Wu, Lisa Morkowchuk, Yang Li, Hua Deng, Hongyi Xu, None, Stalking the Materials Genome: A Data-Driven Approach to the Virtual Design of Nanostructured Polymers. Advanced Functional Materials. ,vol. 23, pp. 5746- 5752 ,(2013) , 10.1002/ADFM.201301744
Akash Gupta, Ahmet Cecen, Sharad Goyal, Amarendra K. Singh, Surya R. Kalidindi, Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system Acta Materialia. ,vol. 91, pp. 239- 254 ,(2015) , 10.1016/J.ACTAMAT.2015.02.045