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<p>Sb<sub>2</sub>Se<sub>3</sub> has established itself as a leading phase-change material for reconfigurable photonics, exhibiting broadband transparency and reversible optical transitions. However, previous metasurface implementations remain constrained by offline thermal or optical control mechanisms. We develop an electrically driven platform featuring monolithic integration of Sb<sub>2</sub>Se<sub>3</sub> nanostructures with addressable microheater arrays, achieving localized phase transitions at microsecond timescales. This hybrid architecture enables selective excitation of distinct coupled resonant modes in the near-infrared spectrum, delivering electrically controlled amplitude modulation exceeding 80 percent and phase modulation approaching 2π coverage. Advancing beyond unit-cell demonstrations, we implement a 6 × 6 electrically addressable metasurface array that yields an efficient spectral transmission matrix. Here, we show that integrating this system with neural-network-assisted computational methodologies achieves high-precision spectral reconstruction across a 500-nanometer short-wave infrared bandwidth, establishing a robust framework for computational spectroscopy and intelligent sensing in reconfigurable photonics.</p>

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Pixelated electrically driven Sb2Se3 phase-change metasurfaces

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月21日

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  • Siqing Zeng,
  • Yuru Li,
  • Luoyao Chu,
  • Ruifeng Zhong,
  • Annan Zhao,
  • Yan Li,
  • Shunyu Yao,
  • Xiaojie Zeng,
  • Xiaoqi He,
  • Tao Zhang,
  • Zhaohuan Ao,
  • Zhihao Fu,
  • Zhaohui Li,
  • Chao Lu,
  • Din Ping Tsai

摘要

Sb2Se3 has established itself as a leading phase-change material for reconfigurable photonics, exhibiting broadband transparency and reversible optical transitions. However, previous metasurface implementations remain constrained by offline thermal or optical control mechanisms. We develop an electrically driven platform featuring monolithic integration of Sb2Se3 nanostructures with addressable microheater arrays, achieving localized phase transitions at microsecond timescales. This hybrid architecture enables selective excitation of distinct coupled resonant modes in the near-infrared spectrum, delivering electrically controlled amplitude modulation exceeding 80 percent and phase modulation approaching 2π coverage. Advancing beyond unit-cell demonstrations, we implement a 6 × 6 electrically addressable metasurface array that yields an efficient spectral transmission matrix. Here, we show that integrating this system with neural-network-assisted computational methodologies achieves high-precision spectral reconstruction across a 500-nanometer short-wave infrared bandwidth, establishing a robust framework for computational spectroscopy and intelligent sensing in reconfigurable photonics.