Computational photonics for energy systems

Optics and Energy

Theoretical and numerical modeling of photonic, nanophotonic, and electromagnetic systems for smart energy control, thermophotovoltaics, radiative cooling, and advanced optical components.

Research overview showing electromagnetic diffraction, thermophotovoltaic conversion, and radiative cooling of a silicon solar cell.

Research Focus

We model, optimize, and quantify uncertainty in optical structures where geometry, materials, and radiation physics determine energy performance.

Numerics

Computational electromagnetics

Shape derivatives, reduced-basis methods, reliability analysis, and diffraction-efficiency optimization for optical devices.

Thermal radiation

Thermophotovoltaic cells

Selective thermal emitters and photovoltaic components designed to improve infrared-to-electricity conversion.

Photovoltaics

Radiative cooling

Photonic structures for passive thermal management of photovoltaic cells and energy technologies. Radiative cooling calculator

Current position

Associate Professor, Universidad Mayor

Faculty of Science, Engineering and Technology.

The group conducts theoretical and numerical research in optics and semiconductor physics, with applications in radiative cooling, photo- and thermophotovoltaic energy conversion, light-matter interaction modeling, computational electromagnetics, and uncertainty quantification.

Google Scholar profile · GitHub profile

Selected Publications

Recent work from the publication record. The research page contains the fuller list and project context.

  1. From flat to structured: geometry-driven dual-mode radiative emitters for simultaneous hotspot cooling and water harvesting. Energy & Environmental Science, 2026 (in press). doi:10.1039/D6EE04674F
  2. A Numerical Study of High-Temperature, Disk-Based Tungsten and Molybdenum Thermophotovoltaic Selective Thermal Emitters. Optics Express, 2025. doi:10.1364/OE.545130
  3. Uncertainty quantification in diffraction gratings: reliability analysis using a reduced basis method. JOSA A, 2025. doi:10.1364/JOSAA.547823