Physicist
Electronic structure of low-dimensional materials, from topological insulators to phosphorene, studied from first principles.
- DFT
- 2D Materials
- Quantum Materials
- Alloys
- Ab Initio Simulations
Campinas, SP, Brazil
Leandro Seixas
- Physicist
- Professor
- Full Stack Developer
- AI Engineer
Computational materials scientist and full stack developer — 2D materials and energy systems on one side, the scientific software that makes them usable on the other.
- Based at
- Ilum – School of Science, CNPEM
- Focus
- 2D materials & energy systems
- Published
- 30 peer-reviewed papers
Four dimensions, one practice
The same questions keep showing up in different rooms. These are the rooms.
Professor
Nine years of higher education teaching across quantum mechanics, thermodynamics, solid state physics and programming — plus the students who carry it forward.
- Solid state physics
- Quantum mechanics
- Thermodynamics
- Programming
Scientific Applications Full Stack Developer
Frontend and Backend
Research software carried the whole way: the numerical core and the API that serves it, the interface that makes a result readable, and the deployment that keeps it available to the people who need it.
- Python
- C++
- Flask
- HPC
- Open source
AI Engineer
Machine learning applied to materials discovery — interatomic potentials, high-entropy alloys and data-driven design for the energy transition.
- PyTorch
- XGBoost
- ML potentials
- Materials informatics
A short introduction
Get in touchI am a computational materials scientist specialising in ab initio simulations and machine learning for atomistic modelling. My research centres on two-dimensional materials and energy systems, combining Density Functional Theory with data-driven methods for predictive materials design.
That path started in theoretical physics — topological insulators, phosphorene, quantum spin Hall phases — and moved steadily towards the computational side: first the simulations, then the software that runs them, and now the models that let us skip ahead of the calculation entirely.
Somewhere along the way the software stopped being a side effect of the research and became part of the work itself. I build scientific applications full stack: the numerical core and the API that serves it on the backend, the interface that makes a result readable on the frontend, and the deployment that keeps the whole thing running. A calculation nobody else can run is a result nobody else can use.
Over ten years of research and nine years of university teaching sit behind that, alongside more than thirty papers and the tools I build to make this kind of work easier to reach.
Things I'm building
Products that put computational science in more hands.
Selected research
All publications-
2020
Spontaneous chemical functionalization via coordination of Au single atoms on monolayer MoS2
Sci. Adv. 6, eabc9308
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2016
Multiferroic Two-Dimensional Materials
Phys. Rev. Lett. 116, 206803
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2015
Vertical twinning of the Dirac cone at the interface between topological insulators and semiconductors
Nat. Commun. 6, 7630