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Multigoal-oriented dual-weighted-residual error estimation using deep neural networks
Ayan Chakraborty, Thomas Wick, Xiaoying Zhuang +1
Deep learning has shown successful application in visual recognition and certain artificial intelligence tasks. Deep learning is also considered as a powerful tool with high flexib…
A robust monolithic solver for phase-field fracture integrated with fracture energy based arc-length method and under-relaxation
Ritukesh Bharali, Somdatta Goswami, Cosmin Anitescu +1
The phase-field fracture free-energy functional is non-convex with respect to the displacement and the phase field. This results in a poor performance of the conventional monolithi…
Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows
Zhizheng Jiang, Fei Gao, Renshu Gu +3
In this paper, a novel deep learning framework is proposed for temporal super-resolution simulation of blood vessel flows, in which a high-temporal-resolution time-varying blood ve…
Inverse design of reconfigurable piezoelectric topological phononic plates
Chuong Nguyen, S. S. Nanthakumar, Xiaoying Zhuang +3
We present a methodology to perform inverse analysis on reconfigurable topological insulators for flexural waves in plate-like structures. First the unit cell topology of a phononi…
Exploring thermal expansion of carbon-based nanosheets by machine-learning interatomic potentials
Bohayra Mortazavi, Ali Rajabpour, Xiaoying Zhuang +2
Examination of thermal expansion of two-dimensional (2D) nanomaterials is a challenging theoretical task with either ab-initio or classical molecular dynamics simulations. In this…
Outstandingly high thermal conductivity, elastic modulus, carrier mobility and piezoelectricity in two-dimensional semiconducting CrC2N4: A first-principles study
Bohayra Mortazavi, Fazel Shojaei, Brahmanandam Javvaji +2
Experimental realization of single-layer MoSi2N4 is among the latest groundbreaking advances in the field of two-dimensional (2D) materials. Inspired by this accomplishment, herein…