Daniel Castillo Castro

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).

Daniel Castillo Castro

Featured Projects

r

2024–2026

Computational research in DFT, LAMMPS and molecular dynamics of 2D materials and heterostructures.

Python LAMMPS DFT

Moleqlas

2024–2026

Quantum computing applied to molecular chemistry. Quantum simulations for molecular systems (QuDIT, PUC Chile).

Qiskit Python VQE

QQuipu3

2024

Simulation of thermal/Gibbs states with quantum circuits. Preparation of state ρβ = e−βH/Z.

Qiskit Python

Shore-Test

2023

CoastSat applied to Chilean coastlines: Landsat/Sentinel-2 + Google Earth Engine for shoreline tracking.

Python GEE Sentinel-2

PDE-Test

2023

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

View all projects →

Expertise Areas

Computational Simulation

Molecular dynamics with LAMMPS, DFT with GPAW/Quantum ESPRESSO/ORCA, multiscale modeling of 2D materials.

LAMMPS GPAW QE ORCA

Machine Learning

Machine-learning interatomic potentials (MLIP, Behler-Parrinello), active learning, AMP.

PyTorch AMP scikit-learn

Quantum Computing

VQE, compact ansätze, Gibbs states, quantum chemistry in Qiskit.

Qiskit VQE Python

Bibliometric Analysis

R-based system for scientific literature analysis with OpenAlex, Semantic Scholar, CrossRef.

R openalexR bibliometrix