PhimiLab (Physics-Informed Machine Intelligence Laboratory) is a small research group founded and led by me, in collaboration with Prof. Em. G. N. Throumoulopoulos (University of Ioannina) and former students from the Democritus University of Thrace. Our research lies at the intersection of machine learning and physics, focusing on the development of ML-based solvers for real scientific problems, with a particular emphasis on fusion plasma physics.

Our Research Group currently consists of the following members:

• Dr. Dimitrios Kaltsas (founder and coordinator)

• Prof. Em. George Throumoulopoulos 

• Dr. Apostolos Kuiroukidis

• Mr. Konstantinos Kaloci

• Mr. Michael Laganis-Sekeris

• Ms. Argyro Tserkezi

PhimiLab has been involved in the following projects:

• "Multi-soliton solutions and data-driven discovery of higher-order Burgers’ hierarchy equations with physics informed neural networks", https://doi.org/10.1016/j.chaos.2025.116224

• "Constrained Hamiltonian systems and physics-informed neural networks: Hamilton-Dirac neural networks", https://doi.org/10.1103/PhysRevE.111.025301

• "Neural network tokamak equilibria with incompressible flows", https://doi.org/10.1063/5.0073033

Current projects pursued by PhimiLab members include:

• KANTEQ

• PHIMICON

• Plasmformer