Algebraic Interior and Separation on Linear Vector Spaces: Some Comments. - Elham Kiyani; Majid Soleimani-Damaneh (J. Optim. Theory Appl., 2014)

Machine Learning-Driven Process of Alumina Ceramics Laser Machining. - Razyeh Behbahani; Hamidreza Yazdani Sarvestani; Erfan Fatehi; Elham Kiyani; Behnam Ashrafi; Mikko Karttunen; Meysam Rahmat (CoRR, 2022)

A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data. - Elham Kiyani; Khemraj Shukla; George Em Karniadakis; Mikko Karttunen (CoRR, 2023)

Designing architectured ceramics for transient thermal applications using finite element and deep learning. - Elham Kiyani; Hamidreza Yazdani Sarvestani; Hossein Ravanbakhsh; Razyeh Behbahani; Behnam Ashrafi; Meysam Rahmat; Mikko Karttunen (CoRR, 2023)

Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs. - Elham Kiyani; Mahdi Kooshkbaghi; Khemraj Shukla; Rahul Babu Koneru; Zhen Li 003; Luis Bravo; Anindya Ghoshal; George Em Karniadakis; Mikko Karttunen (CoRR, 2023)

Machine learning-optimized stochastic Voronoi lattices for enhanced mechanical performance. - Michael Thompson; Hamidreza Yazdani Sarvestani; Ahmad Sohrabi-Kashani; Elham Kiyani; Enzo Filippi; Derek Aranguren van Egmond; Meysam Rahmat; Behnam Ashrafi; Mikko Karttunen (Eng. Appl. Artif. Intell., 2025)

Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures. - Elham Kiyani; Manav Manav; Nikhil Kadivar; Laura De Lorenzis; George Em Karniadakis (CoRR, 2025)

Which Optimizer Works Best for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks? - Elham Kiyani; Khemraj Shukla; Jorge F. Urbán; Jérôme Darbon; George Em Karniadakis (CoRR, 2025)

Crack Path Prediction with Operator Learning using Discrete Particle System data Generation. - Elham Kiyani; Venkatesh Ananchaperumal; Ahmad Peyvan; Mahendaran Uchimali; Gang Li; George Em Karniadakis (CoRR, 2025)