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2024–2026Computational research in DFT, LAMMPS and molecular dynamics of 2D materials and heterostructures.
Python
LAMMPS
DFT
PhD in Physics · Computational Nanomaterials Researcher
I work on multiscale modeling of 2D materials at the intersection of computational simulation, machine-learning interatomic potentials, and quantum computing applied to molecular chemistry. Member of the Moleqlas group (QuDIT, PUC Chile).
Computational research in DFT, LAMMPS and molecular dynamics of 2D materials and heterostructures.
Python
LAMMPS
DFT
Quantum computing applied to molecular chemistry. Quantum simulations for molecular systems (QuDIT, PUC Chile).
Qiskit
Python
VQE
Simulation of thermal/Gibbs states with quantum circuits. Preparation of state ρβ = e−βH/Z.
Qiskit
Python
CoastSat applied to Chilean coastlines: Landsat/Sentinel-2 + Google Earth Engine for shoreline tracking.
Python
GEE
Sentinel-2
Solving PDEs with finite elements on 3D geometries defined by STL files.
Python
FEM
LAMMPS tutorial presented at LAMMPS Workshop. Practical guide for molecular dynamics simulation.
LAMMPS
Shell
Molecular dynamics with LAMMPS, DFT with GPAW/Quantum ESPRESSO/ORCA, multiscale modeling of 2D materials.
LAMMPS
GPAW
QE
ORCA
Machine-learning interatomic potentials (MLIP, Behler-Parrinello), active learning, AMP.
PyTorch
AMP
scikit-learn
VQE, compact ansätze, Gibbs states, quantum chemistry in Qiskit.
Qiskit
VQE
Python
R-based system for scientific literature analysis with OpenAlex, Semantic Scholar, CrossRef.
R
openalexR
bibliometrix