Publications

Danial Amini, Ehsan Haghighat, Ruben Juanes (2022). Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media. Submitted.

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Kianoosh Koocheki, Stan Pietruszczak, Ehsan Haghighat (2022). A computational framework for meso and macroscale analysis of structural masonry. Published.

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Ali Can Bekar, Erdogan Madenci, Ehsan Haghighat (2022). On the solution of hyperbolic equations using the peridynamic differential operator. Published.

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Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes (2021). Deep learning for solution and inversion of structural mechanics and vibrations. In print..

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Mohammad Vahab, Ehsan Haghighat, Maryam Khaleghi, Nasser Khalili (2021). A Physics-Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity. Published.

Ehsan Haghighat, Danial Amini, Ruben Juanes (2021). Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training. Submitted.

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Ali Can Bekar, Erdogan Madenci, Ehsan Haghighat, Umair bin Waheed, Tariq Alkhalifah (2021). Solving the Eikonal equation for compressional and shear waves in anisotropic media using peridynamic differential operator. Published.

Umair bin Waheed, Tariq Alkhalifah, Ehsan Haghighat, Chao Song, Jean Virieux (2021). PINNtomo: Seismic tomography using physics-informed neural networks. Submitted.

Umair bin Waheed, Tariq Alkhalifah, Ehsan Haghighat, Chao Song (2021). A holistic approach to computing first-arrival traveltimes using neural networks. Submitted.

Behzad Jamali, Ehsan Haghighat, Aleksandar Ignjatovic, João P. Leitão, Ana Deletic (2020). Machine learning for accelerating 2D flood models: Potential and challenges. Hydrological Processes.

Sina Amini Niaki, Ehsan Haghighat, Anoush Poursartip, Trevor Campbell, Reza Vaziri (2020). Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture. CMAME.

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Mengwu Guo, Ehsan Haghighat (2020). An energy-based error bound of physics-informed neural network solutions in elasticity. Accepted.

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Umair bin Waheed, Ehsan Haghighat, Tariq Alkhalifah, Chao Song, Qi Hao (2020). PINNeik: Eikonal solution using physics-informed neural networks. Submitted.

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Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes (2020). A nonlocal physics-informed deep learning framework using the peridynamic differential operator. Submitted.

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E. Haghighat and R. Juanes (2020). SciANN: A Keras wrapper for scientific computations and physics-informed deep learning using artificial neural networks. Submitted.

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Ehsan Haghighat, Maziar Raissi, Adrian Moure, Hector Gomez, Ruben Juanes (2020). A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics. CMAME.

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Ehsan Haghighat, Fatemeh S. Rassouli, Mark D. Zoback, Ruben Juanes (2019). A viscoplastic model of creep in shale. Geophysics.

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Haghighat, E. and Juanes, R. (2019). SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks. CMAME.

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E. Haghighat, R. Juanes (2019). An Implicit-Interface Approach for Modeling Coupled Flow-Geomechanics and Induced Seismicity. AGU 2018 Fall Meeting Abstracts.

Su, Xueqing and Nguyen, Son and Haghighat, Ehsan and Pietruszczak, Stanislaw and Labrie, Denis and Barnichon, Jean-Dominique and Abdi, Hadj (2017). Characterizing the mechanical behaviour of the Tournemire argillite. Geological Society of London.

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Haghighat, E and Pietruszczak, S (2016). On modeling of fractured media using an enhanced embedded discontinuity approach. Extreme Mechanics Letters.

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Haghighat, E and Pietruszczak, S (2015). On the mechanical and hydraulic response of sedimentary rocks in the presence of discontinuities. Geomechanics for Energy and the Environment.

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Haghighat, Ehsan (2015). Modeling of damage propagation in cohesive-frictional materials.

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Haghighat, E and Pietruszczak, S (2015). On modeling of discrete propagation of localized damage in cohesive-frictional materials. International Journal for Numerical and Analytical Methods in Geomechanics.

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S. Pietruszczak, E. Haghighat (2015). Modeling of deformation and localized failure in anisotropic rocks. International Journal of Solids and Structures.

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Khoei, AR and Vahab, M and Haghighat, E and Moallemi, S (2014). A mesh-independent finite element formulation for modeling crack growth in saturated porous media based on an enriched-FEM technique. International Journal of Fracture.

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Pietruszczak, S and Haghighat, E (2013). Assessment of slope stability in cohesive soils due to a rainfall. International Journal for Numerical and Analytical Methods in Geomechanics.

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Khoei, AR and Moallemi, S and Haghighat, E (2012). Thermo-hydro-mechanical modeling of impermeable discontinuity in saturated porous media with X-FEM technique. Engineering Fracture Mechanics.

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Khoei, AR and Haghighat, E (2011). Extended finite element modeling of deformable porous media with arbitrary interfaces. Applied Mathematical Modelling.

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