Kavan Shah 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	7	7
h 指数	1	1
i10 指数	0	0

0

4

2

2022202320241 4 2

合著作者

Gary D. SeidelVirginia Tech在 vt.edu 的电子邮件经过验证
Ujjal MavinkurveKyushu University在 ce.mech.kyushu-u.ac.jp 的电子邮件经过验证
NR RaykarSardar Patel College of Engineering在 spce.ac.in 的电子邮件经过验证
Pınar AcarAssociate Professor at Virginia Tech在 vt.edu 的电子邮件经过验证
Krishna Kiran TalamadupulaWestern Digital, Stress Engineering Services Inc. (Former), Virginia Tech (Former)在 vt.edu 的电子邮件经过验证

Kavan Shah

Kavan Shah

Virginia Polytechnic Institute and State University

在 vt.edu 的电子邮件经过验证

Multiscale modelling Materials by design


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Microstructure Characterization of Multifunctional CNT-Polymer Nanocomposites via Two-Point Correlation Functions K Shah, GD Seidel AIAA SCITECH 2022 Forum, 2239, 2022	5	2022
Reduced-Order Model for the Effective Electro-Mechanical Properties of CNT-Polymer Nanocomposites via Two-Point Correlation Functions K Shah, GD Seidel AIAA SCITECH 2023 Forum, 0518, 2023	1	2023
Application of Machine Learning for Design-by-Analysis of Pressure Equipment K Shah, R Chandnani, U Mavinkurve, N Raykar 2019 International Conference on Nascent Technologies in Engineering (ICNTE …, 2019	1	2019
Reduced-order model for multiphysics simulations of CNT/Polymer Composites via principal component regression and artificial neural networks K Shah, KK Talamadupula, P Acar, GD Seidel Computational Materials Science 244, 113200, 2024		2024
Correction: Reduced-Order Representation and Effective Property Prediction of CNT-polymer nanocomposites using Convolutional Neural Networks and Autoencoders K Shah, G Seidel AIAA SCITECH 2024 Forum, 1235. c1, 2024		2024
Reduced-Order Representation and Effective Property Prediction of CNT-polymer nanocomposites using Convolutional Neural Networks and Autoencoders K Shah, G Seidel AIAA SCITECH 2024 Forum, 1235, 2024		2024

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