Edoardo Fabbrini
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Welcome to Edoardo Fabbrini's homepage

Postdoctoral researcher · C++/Fortran/Python developer · Consultant at SOMA .

Affiliation & Contact

Affiliation: Kyoto University, Graduate School of Science (SACRA)

Research interests

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• Applied Mathematics: I use analytical tools from the Calculus of Variations and the theory of Elliptic Partial Differential Equations, along with numerical methods such as the Finite Element Method and Density Functional Theory, to study materials across continuum and atomistic scales within a unified framework. My current focus is on developing a theoretical and computational platform to tune the mechanical and electronic properties of graphene and metal membranes by tailoring the distribution of topological defects (disclinations and dislocations).

• Computational Chemistry: I developed a modular computational platform in Python (using RDKit and ASE) to explore the chemical space of diarylethene derivatives via a custom-designed evolutionary algorithm. The platform can interface directly with Turbomole for high-fidelity Density Functional Theory simulations or integrate machine learning models trained specifically for the case at hand. Key features include the ability to generate symmetric molecules, perform structural sanity checks, and limit the maximum number of mutations.
• Fluidynamics-Structure interactions (FSI): My earlier work includes aeroelastic stability analysis of rotating systems in compressible flows using a FORTRAN-based multiphysics tool.

Selected material

Latest publication

Variational Formulation of Planar Linearized Elasticity with Incompatible Kinematics. J. of Elasticity (2025).

We present a variational characterization of mechanical equilibrium in the planar strain regime for systems with incompatible kinematics. For non-simply connected domains, we show that the equilibrium problem for a non-liftable strain-stress pair can be reformulated as a well-posed minimization problem for the Airy potential of the system. We characterize kinematic incompatibilities on internal boundaries as rotational or translational mismatches, in agreement with Volterra’s modeling of disclinations and dislocations. Finally, we establish that the minimization problem for the Airy potential can be reduced to a finite-dimensional optimization involving cell formulas.

Graphical abstract

Open-source software

Demonstration of a finite-element solver for Föppl–von Kármán plates with wedge disclinations. The interface allows users to freely position a wedge disclination on a circular membrane. The solver employs a Discontinuous Galerkin method and a Newton–Raphson algorithm to numerically solve the system of two quasi-linear partial differential equations. Check it out here.

SOMA — startup

At SOMA we combine multiphysics and multifidelity modeling with Machine Learning and HPC solutions to achieve remarkable engineering products. Learn more at somatwin.com