Here is a list of my publications. [My Google Scholar Page]

Journal publications:
  • Pouria Mistani; Samira Pakravan; Rajesh Ilango; Frederic Gibou; "JAX-DIPS: neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities", Journal of Computational Physics, 2023 [ Science Direct]
  • Samira Pakravan; Pouria Mistani; Miguel Angel Aragon-Calvo; Frederic Gibou; "Solving inverse-PDE problems with physics-aware neural networks", Journal of Computational Physics, 2021 [Science Direct]
  • Pouria Mistani; Samira Pakravan; Frederic Gibou; "A fractional stochastic theory for interfacial polarization of cell aggregates", [arXiv]
  • Pouria Mistani; Arthur Guittet; Clair Poignard; Frederic Gibou; "A Parallel Voronoi-based Approach for Meso-scale Simulations of Cell Aggregate Electropermeabilization", Journal of Computational Physics, Accepted for publication on Dec 7, 2018 [arXiv, Science Direct]
  • Pouria Mistani; Arthur Guittet; Daniil Bochkov; Joshua Schneider; Dionisios Margetis; Christian Ratsch; Frederic Gibou; "The Island Dynamics Model on Parallel Quadtree Grids", Journal of Computational Physics, Accepted for publication on Feb 1, 2018 [UMD, Science Direct ]
  • Mistani, Pouria A.; Sales, Laura V.; Pillepich, Annalisa; Sanchez-Janssen, Rubén; Vogelsberger, Mark; Nelson, Dylan; Rodriguez-Gomez, Vicente; Torrey, Paul; Hernquist, Lars; "On the assembly of dwarf galaxies in clusters and their efficient formation of globular clusters", Monthly Notices of the Royal Astronomical Society, 2016 [ Harvard adsabs, arXiv ]
Conference publications:
  • Pouria Mistani, and Venkatesh Mysore "Preference optimization of protein language models as a multi-objective binder design paradigm", The International Conference on Learning Representations (ICLR), workshop on generative and experimental perspectives for biomolecular design, 2024, Vienna, Austria
  • Pouria Mistani, Samira Pakravan, and Frederic Gibou "Neuro-symbolic partial differential equation solver", Neural Information Processing Systems, Machine Learning and the Physical Sciences Workshop, 2022, New Orleans, USA
Talks and presentations
  • Pouria Mistani, Samira Pakravan, and Frederic Gibou "On learning neural operators of PDEs with interfacial jump conditions for accelerating simulations of physical systems", Talk at the 10th International Congress of Industrial and Applied Mathematics (ICIAM 2023), Minisymposium on deep learning, preconditioners, and linear solvers, Tokyo, Japan
  • Pouria Mistani, and Frederic Gibou "Towards a realistic tissue simulation engine: multi-scale simulations of cell aggregate electroporation", Talk at SIAM Conference on Computational Science and Engineering (CSE19) 2019, Spokane, Washington, USA
  • Pouria Mistani, and Frederic Gibou "Multi-scale simulations of cell aggregate electropermeabilization", Poster Presentation at Southern California Applied Mathematics Symposium (SOCAMS) 2018, University of California Santa Barbara. [ Poster ]
  • Pouria Mistani, and Frederic Gibou "Multi-scale simulations of epitaxial growth: mound formation", Poster Presentation at Southern California Applied Mathematics Symposium (SOCAMS) 2018, University of California Santa Barbara. [ Poster ]
  • Pouria Mistani, Soroush Sotoudeh, "Velocity Dispersion Profile of Cetus Dwarf Spheroidal Galaxy ", Poster Presentation at 8th Sackler Conference on Dark Matter 2014, CfA, Harvard University. [ Poster ]
Contributed book chapters:
  • Pouria Mistani, Samira Pakravan, and Frederic Gibou "Tensor network representation of complex systems", accepted for publication in the 2nd edition of "Interdependent Sustainable Networks: from theory to application", Springer 2019 [Researchgate].
  • Pouria Mistani, Samira Pakravan, and Frederic Gibou "Tensor network renormalization as an ultra-calculus for complex system dynamics", accepted for publication in the 2nd edition of "Interdependent Sustainable Networks: from theory to application", Springer 2019 [Researchgate].