Elham Kiyani(Kianiharchegani)

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Karttunen MikkoProfessor of Chemistry & Physics, The University of Western OntarioAdresse e-mail validée de uwo.ca
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringAdresse e-mail validée de brown.edu
Razyeh BehbahaniPostdoctoral Associate, Western UniversityAdresse e-mail validée de mun.ca
Behnam AshrafiNRCAdresse e-mail validée de nrc-cnrc.gc.ca
Hamidreza Yazdani SarvestaniResearch Officer, National Research Council CanadaAdresse e-mail validée de nrc-cnrc.gc.ca
Khemraj ShuklaRice UniversityAdresse e-mail validée de gatech.edu
Mahdi KooshkbaghiAdresse e-mail validée de cshl.edu
Majid Soleimani-damanehProfessor in Mathematics: Operations Research & Optimization (Univ. of Tehran)Adresse e-mail validée de ut.ac.ir
Erfan FatehiNational Research Council of CanadaAdresse e-mail validée de nrc-cnrc.gc.ca
Steven SilberPhD Student, Western UniversityAdresse e-mail validée de uwo.ca
Hossein RavanbakhshAssistant Professor of Biomedical Engineering, University of Akron, Harvard Medical School, McGillAdresse e-mail validée de uakron.edu
S. Mansour VaezpourDepartment of Mathematics and Computer Sciences, Amirkabir University of Technology, Tehran, IranAdresse e-mail validée de aut.ac.ir
Rahul Babu KoneruLeidos IncAdresse e-mail validée de netl.doe.gov
Anindya GhoshalArmy Research LaboratoryAdresse e-mail validée de mail.mil
Luis Bravo, Ph.D.Sr. Aerospace Engineer, US Army Research Laboratory, AIAA Associate FellowAdresse e-mail validée de mail.mil
Zhen LiClemson UniversityAdresse e-mail validée de clemson.edu
Maximilian DreisbachKarlsruher Institut für TechnologieAdresse e-mail validée de kit.edu
Alexander StrohISTM@KITAdresse e-mail validée de kit.edu
Jochen KriegseisInstitute of Fluid Mechanics, KIT, GermanyAdresse e-mail validée de kit.edu
ManavPostdoctoral scholar, ETH ZurichAdresse e-mail validée de ethz.ch

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Elham Kiyani(Kianiharchegani)

Brown University

Adresse e-mail validée de brown.edu

Machine learning (ML)Optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
A framework based on symbolic regression coupled with extended physics-informed neural networks for gray-box learning of equations of motion from data E Kiyani, K Shukla, GE Karniadakis, M Karttunen Computer Methods in Applied Mechanics and Engineering 415, 116258, 2023	17	2023
Machine learning-driven process of alumina ceramics laser machining R Behbahani, HY Sarvestani, E Fatehi, E Kiyani, B Ashrafi, M Karttunen, ... Physica Scripta 98 (1), 015834, 2022	15	2022
Machine-learning-based data-driven discovery of nonlinear phase-field dynamics E Kiyani, S Silber, M Kooshkbaghi, M Karttunen Physical Review E 106 (6), 065303, 2022	15	2022
Approximate proper efficiency on real linear vector spaces E Kiyani, M Soleimani-Damaneh Pacific Journal of Optimization 10 (4), 715-734, 2014	13	2014
Combining finite element and machine learning methods to predict structures of architectured interlocking ceramics H Ravanbakhsh, R Behbahani, H Yazdani Sarvestani, E Kiyani, ... Advanced Engineering Materials 25 (10), 2201408, 2023	5	2023
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs E Kiyani, M Kooshkbaghi, K Shukla, RB Koneru, Z Li, L Bravo, A Ghoshal, ... Journal of Fluid Mechanics 985, A7, 2024	4	2024
Algebraic interior and separation on linear vector spaces: some comments E Kiyani, M Soleimani-Damaneh Journal of Optimization Theory and Applications 161, 994-998, 2014	4	2014
Data-Driven Exploration of Coarse-Grained Equations: Harnessing Machine Learning E Kianiharchegani The University of Western Ontario (Canada), 2023	2	2023
Optimality conditions for approximate solutions of set-valued optimization problems in real linear spaces E Kiyani, SM Vaezpour, J Tavakoli TWMS Journal of Applied and Engineering Mathematics, 2021	2	2021
Designing architectured ceramics for transient thermal applications using finite element and deep learning E Kiyani, HY Sarvestani, H Ravanbakhsh, R Behbahani, B Ashrafi, ... Modelling and Simulation in Materials Science and Engineering 32 (1), 015001, 2023	1	2023
Nonconvex vector optimization and optimality conditions for proper efficiency E Kiyani, SM Vaezpour, J Tavakoli International Journal of Analysis and Applications 20, 11-11, 2022	1	2022
Which Optimizer Works Best for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks? E Kiyani, K Shukla, JF Urbán, J Darbon, GE Karniadakis arXiv preprint arXiv:2501.16371, 2025		2025
Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures E Kiyani, M Manav, N Kadivar, L De Lorenzis, GE Karniadakis arXiv preprint arXiv:2501.00016, 2024		2024
PINNs4Drops: Convolutional feature-enhanced physics-informed neural networks for reconstructing two-phase flows M Dreisbach, E Kiyani, J Kriegseis, G Karniadakis, A Stroh arXiv preprint arXiv:2411.15949, 2024		2024
Modeling Droplet Spreading Dynamics using Physics-Informed Neural Networks E Kianiharchegani, M Dreisbach, A Stroh, G Karniadakis APS Division of Fluid Dynamics Meeting Abstracts, X10. 001, 2024		2024
Convolutional feature-enhanced physics-informed neural networks for the spatio-temporal reconstruction of two-phase flows M Dreisbach, E Kiyani, J Kriegseis, G Karniadakis, A Stroh APS Division of Fluid Dynamics Meeting Abstracts, R12. 006, 2024		2024

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