Main picture

Computer scientist

Universidad Rey Juan Carlos
antoine.chanlock[at]gmail.com


Bio

I’m a computational mechanics researcher at the University of Rey Juan Carlos in Madrid under the supervision of Professor Miguel Otaduy. Currently working on elasticity simulation, my research consists in increasing speed and accuracy through coarsening methods.

I’m looking for a job! I will be applying to both industry and academic positions. I’m particularly interested in roles where I can apply the research I conducted during my PhD. Here’s my Resume. (Website update coming soon, now working at Inria Epione team, doing medical simulation)

Research interests: Finite element method, elastic simulation, microstructures, homogenization, coarsening.

Projects

Now wroking on blood simulation in the heart with an LBMxIBM jas self implementation. Hit Play and rotate the object :)

At the top, four pulmonary veins carry blood into the haert chanber (left atrium). At the bottom, an artificial pipe represents outflow through the mitral valve. Notice on the left the left atrial appendage, a characteristic extension of the chamber.

In the Inria Epione team, I work on left atrial blood-flow simulation. I use the lattice Boltzmann method (LBM) to take advantage of its embarrassingly parallel structure and JAX to run the simulation efficiently on GPUs. Wall motion is handled with the immersed boundary method (IBM).

Experience

Education

Skills

Publications

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Polar Interpolants for Thin-Shell Microstructure Homogenization
In SIGGRAPH ASIA (Conference), 2024.
This paper presents a new approach to material homogenization for thin-shell microstructures, overcoming key limitations of prior methods. Existing techniques either neglect visual impact (energy-based fitting), lack conservatism (stress-based fitting), or oversimplify the interplay between deformation modes. Our formulation ensures conservative material energy functions, captures high-dimensional interactions between membrane and bending deformations, aligns material domains with training data, and optimizes stress-based parameters for better visual fidelity. Central to our approach is a novel high-order RBF interpolant for polar coordinates, enabling these advancements. The resulting material function and workflow achieve superior quantitative and qualitative fitting of diverse microstructure behaviors.
Paper - Video - Code
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High-Order Elasticity Interpolants for Microstructure Simulation
In Computer Graphics Forum (Proc. SCA), 2022.
We propose a novel formulation of elastic materials based on high-order interpolants, which fits accurately complex elastic behaviors, but remains conservative. The proposed high-order interpolants can be regarded as a high-dimensional extension of radial basis functions, and they allow the interpolation of derivatives of elastic energy, in particular stress and stiffness. Given the proposed parameterization of elasticity models, we devise an algorithm to find optimal model parameters based on training data. We have tested our methodology for the homogenization of 2D microstructures, and we show that it succeeds to match complex behaviors with high accuracy.
Main URLPaper - Video - Code