TY - JOUR
T1 - Wide-angle spectral filter for energy-saving windows designed by quantum annealing-enhanced active learning
AU - Kim, Seongmin
AU - Jung, Serang
AU - Bobbitt, Alexandria
AU - Lee, Eungkyu
AU - Luo, Tengfei
N1 - Publisher Copyright:
© 2024
PY - 2024/3/20
Y1 - 2024/3/20
N2 - Multi-band spectral filters that can transmit visible light but block UV and infrared light in the solar spectrum are applicable to energy-saving windows. However, such filters are usually designed to consider normal incident light only. Here, we report photonic structures allowing selective solar spectrum transmission in wide angles using a quantum-computing-enhanced active learning scheme, which includes machine learning, quantum annealing, and wave-optics simulation in an iterative loop. We experimentally demonstrate the optical characteristics of the photonic structure and its capability to reduce the temperature rise in an enclosure when combined with a thermal radiation layer (temperature reduction of 5.4°C–7.2°C and annual energy saving of ∼97.5 MJ/m2). This structure can be incorporated into existing windows in buildings or automobiles to reduce cooling energy consumption, and the active learning scheme can be applied to design materials with complex properties in general.
AB - Multi-band spectral filters that can transmit visible light but block UV and infrared light in the solar spectrum are applicable to energy-saving windows. However, such filters are usually designed to consider normal incident light only. Here, we report photonic structures allowing selective solar spectrum transmission in wide angles using a quantum-computing-enhanced active learning scheme, which includes machine learning, quantum annealing, and wave-optics simulation in an iterative loop. We experimentally demonstrate the optical characteristics of the photonic structure and its capability to reduce the temperature rise in an enclosure when combined with a thermal radiation layer (temperature reduction of 5.4°C–7.2°C and annual energy saving of ∼97.5 MJ/m2). This structure can be incorporated into existing windows in buildings or automobiles to reduce cooling energy consumption, and the active learning scheme can be applied to design materials with complex properties in general.
KW - active learning
KW - multi-band spectral selectivity
KW - quantum computing
KW - radiative cooling
KW - wide-angle spectral filter
UR - http://www.scopus.com/inward/record.url?scp=85188048663&partnerID=8YFLogxK
U2 - 10.1016/j.xcrp.2024.101847
DO - 10.1016/j.xcrp.2024.101847
M3 - Article
AN - SCOPUS:85188048663
SN - 2666-3864
VL - 5
JO - Cell Reports Physical Science
JF - Cell Reports Physical Science
IS - 3
M1 - 101847
ER -