Work

From Materials to Machine Learning: A Photonics-Based Design of Thermophotovoltaic Emitters

Year: 2026

Type: article

Source: ACS Photonics

DOI: 10.1021/acsphotonics.5c03023

Authors: Declan Kopper, Paulina V. Escobar, Raymond Iacobacci, Jeremy N. Munday, Marina S. Leite

Language: English

Topic: Thermal Radiation and Cooling Technologies

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Science Foundation, Defense Advanced Research Projects Agency, University of California, Davis

Awards: G4211373224, Graduate Research Fellowship Program (GRFP)

OpenAlex ID: W7155184029

FWCI:

Cites: 86

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