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Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models
Zohreh Sheikh Khozani, Khabat Khosravi, Mohammadamin Torabi +3
Shear stress distribution prediction in open channels is of utmost importance in hydraulic structural engineering as it directly affects the design of stable channels. In this stud…
A meshfree formulation for large deformation analysis of flexoelectric structures accounting for the surface effects
Xiaoying Zhuang, S. S. Nanthakumar, Timon Rabczuk
In this work, we present a compactly supported radial basis function (CSRBF) based meshfree method to analyse geometrically nonlinear flexoelectric nanostructures considering surfa…
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami +5
Partial Differential Equations (PDE) are fundamental to model different phenomena in science and engineering mathematically. Solving them is a crucial step towards a precise knowle…
Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction
Chuong Nguyen, Xiaoying Zhuang, Ludovic Chamoin +3
In this work, we present an efficiently computational approach for designing material micro-structures by means of topology optimization. The central idea relies on using the isoge…
Prediction of C7N6 and C9N4: Stable and strong porous carbon-nitride nanosheets with attractive electronic and optical properties
Bohayra Mortazavi, Masoud Shahrokhi, Alexander V Shapeev +2
In this work, three novel porous carbon-nitride nanosheets with C7N6, C9N4 and C10N3 stoichiometries are predicted. First-principles simulations were accordingly employed to evalua…
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture
Somdatta Goswami, Cosmin Anitescu, Souvik Chakraborty +1
We present a new physics informed neural network (PINN) algorithm for solving brittle fracture problems. While most of the PINN algorithms available in the literature minimize the…