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Effect of temperature and magnetoelastic loads on the free vibration of a sandwich beam with magnetorheological core and functionally graded material constraining layer
, Article Acta Mechanica ; Volume 233, Issue 11 , 2022 , Pages 4939-4959 ; 00015970 (ISSN) ; Shams, S ; Kazemi, M. R ; Rokn Abadi, M ; Sharif University of Technology
Springer
2022
Abstract
In this paper, we investigate the effects of temperature and magnetoelastic load, on the free vibration of an elastomer sandwich beam with magnetorheological (MR) core and functionally graded material (FGM) constraining lamina under high temperature environment. This sandwich beam is named FGMR beam in this paper. The material properties of the functionally graded material layers are assumed to be temperature-dependent and vary continuously through-the-thickness according to a simple power-law distribution in terms of the volume fractions of the constituents. Also, it is assumed that the beam may be clamped, hinged, or free at its ends and is subjected to one-dimensional steady-state heat...
Materials discovery of ion-selective membranes using artificial intelligence
, Article Communications Chemistry ; Volume 5, Issue 1 , 2022 ; 23993669 (ISSN) ; Shams, S. M ; Chellehbari, Y. M ; Rezvantalab, S ; Jahromi, A. M ; Asadnia, M ; Abbassi, R ; Aminabhavi, T ; Razmjou, A ; Sharif University of Technology
Nature Research
2022
Abstract
Significant attempts have been made to improve the production of ion-selective membranes (ISMs) with higher efficiency and lower prices, while the traditional methods have drawbacks of limitations, high cost of experiments, and time-consuming computations. One of the best approaches to remove the experimental limitations is artificial intelligence (AI). This review discusses the role of AI in materials discovery and ISMs engineering. The AI can minimize the need for experimental tests by data analysis to accelerate computational methods based on models using the results of ISMs simulations. The coupling with computational chemistry makes it possible for the AI to consider atomic features in...