Mahdi Kooshkbaghi

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Locality Preserving

Manifold Learning

Top Venues

J. Comput. Phys.

Frontiers Comput. Neurosci.

Publications

Elham Kiyani, Mahdi Kooshkbaghi, Khemraj Shukla, Rahul Babu Koneru, Zhen Li, Luis Bravo, Anindya Ghoshal, George Em Karniadakis, Mikko Karttunen
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs. CoRR (2023)
Nikolaos Evangelou, Noah J. Wichrowski, George A. Kevrekidis, Felix Dietrich, Mahdi Kooshkbaghi, Sarah McFann, Ioannis G. Kevrekidis
On the Parameter Combinations That Matter and on Those That do Not. CoRR (2021)
Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis
Emergent Spaces for Coupled Oscillators. Frontiers Comput. Neurosci. 14 (2020)
Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis
Emergent spaces for coupled oscillators. CoRR (2020)
Alexander Holiday, Mahdi Kooshkbaghi, Juan M. Bello-Rivas, C. William Gear, Antonios Zagaris, Ioannis G. Kevrekidis
Manifold learning for parameter reduction. J. Comput. Phys. 392 (2019)
Seungjoon Lee, Mahdi Kooshkbaghi, Konstantinos G. Spiliotis, Constantinos I. Siettos, Ioannis G. Kevrekidis
Coarse-scale PDEs from fine-scale observations via machine learning. CoRR (2019)