Article
Multidisciplinary Sciences
Jorge Parra, Juan Navarro-Arenas, Miroslavna Kovylina, Pablo Sanchis
Summary: This article investigates the impact of GST thickness on optical performance in phase-change integrated photonics. It shows that thinner GST thicknesses can lead to the excitation of higher-order modes and a reduction in extinction ratio. These findings are important for designing high-performance GST/Si-based photonic devices.
SCIENTIFIC REPORTS
(2022)
Article
Materials Science, Multidisciplinary
Zhuoran Fang, Bassem Tossoun, Antoine Descos, Di Liang, Xue Huang, Geza Kurczveil, Arka Majumdar, Raymond G. Beausoleil
Summary: Silicon photonics has become increasingly important in data communication, and programmable silicon photonic integrated circuits now have a non-volatile phase shifter with significantly improved energy efficiency, speed, and endurance. This technology has potential applications in future energy-efficient programmable PICs, optical neural networks, and quantum information processing.
ADVANCED OPTICAL MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Xing Yang, Liangjun Lu, Yu Li, Yue Wu, Ziquan Li, Jianping Chen, Linjie Zhou
Summary: Integrated Mach-Zehnder interferometers (MZIs) with phase-change materials offer low power consumption and compact size for reconfigurable photonic processors. However, they suffer from low optical extinction ratio and limited switching cycles due to material loss and poor reversible repeatability. A non-volatile electrically reconfigurable MZI with a low-loss phase-change material (Sb2Se3) encapsulated in Al2O3 layers is demonstrated. By dividing the Sb2Se3 patch into small sub-cells to restrict material reflow, more than 10,000 reversible phase-change cycles and 6-bit multilevel switching states are achieved.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Nanoscience & Nanotechnology
Rui Chen, Zhuoran Fang, Forrest Miller, Hannah Rarick, Johannes E. Froch, Arka Majumdar
Summary: Programmable photonics have the potential to transform various emerging applications, but there are challenges in achieving high energy efficiency and large-scale systems. Recent research on nonvolatile phase-change materials (PCMs) provides an opportunity for truly programmable photonics, allowing for energy-efficient and large-scale integrated photonics. Energy efficiency is more critical than operating speed for programmable photonics, and PCM is an ideal candidate. Using wide bandgap PCMs also presents exciting opportunities for various applications.
Article
Materials Science, Multidisciplinary
Zhuoran Fang, Jiajiu Zheng, Abhi Saxena, James Whitehead, Yueyang Chen, Arka Majumdar
Summary: This study experimentally demonstrated the strong optical phase modulation and low optical loss of Sb2S3 at wavelengths of 750 nm and 1550 nm, showcasing the thermal stability of the Sb2S3-Si hybrid platform and an electrically tunable Sb2S3 integrated non-volatile microring switch with a high-contrast transmission state over 30 dB.
ADVANCED OPTICAL MATERIALS
(2021)
Article
Engineering, Electrical & Electronic
Zhuoran Fang, Rui Chen, Jiajiu Zheng, Arka Majumdar
Summary: The use of phase change materials in silicon photonics has been gaining attention due to their high refractive index contrast between two states, which can be reversibly switched and non-volatile. Progress has been made in developing photonic switches based on PCM for photonic integrated circuits, showing great potential for future applications in this field.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2022)
Review
Chemistry, Multidisciplinary
Tiantian Li, Yijie Li, Yuteng Wang, Yuxin Liu, Yumeng Liu, Zhan Wang, Ruixia Miao, Dongdong Han, Zhanqiang Hui, Wei Li
Summary: Neuromorphic photonics devices based on phase change materials (PCMs) and silicon photonics technology offer promising solutions to overcome the limitations of traditional spiking neural networks. This review analyzes various PCMs used in neuromorphic devices, comparing their optical properties and discussing their applications. By investigating the integration of different PCMs with silicon-based optoelectronics, potential breakthroughs in computational performance and scalability of photonic spiking neural networks can be identified.
Article
Optics
Soon Xin Gan, Kok Bin Ng, Jing Wen Chew, Lian Seng Tey, Wen Sin Chong, Wu Yi Chong, Boon Tong Goh, Choon Kong Lai, Steve Madden, Duk-Yong Choi, Harith Ahmad
Summary: This work demonstrates the enhanced tolerance of GSST phase change conditions using a graphene oxide intermediate layer on a polymer waveguide platform. The hybrid waveguide shows low insertion loss and high readout contrast, with a step increase of 5% in readout contrast per step.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS
(2022)
Article
Optics
Shoujun Zhang, Xieyu Chen, Kuan Liu, Yuanhao Lang, Quan Xu, Ranjan Singh, Tun Cao, Zhen Tian
Summary: This study demonstrates the dynamic manipulation of on-chip terahertz (THz) metadevices through optical modulation and phase shift. A reconfigurable multilevel THz SP metalens switch with high extinction ratio is presented, and a switchable THz SP varifocal metalens is realized. These results show a promising route toward non-volatile, reconfigurable, and energy-efficient on-chip THz integrated metadevices, advancing the field of terahertz-integrated photonics.
LASER & PHOTONICS REVIEWS
(2023)
Article
Chemistry, Multidisciplinary
Ziquan Xu, Hao Luo, Huanzheng Zhu, Yu Hong, Weidong Shen, Jianping Ding, Sandeep Kaur, Pintu Ghosh, Min Qiu, Qiang Li
Summary: This study demonstrates a nonvolatile optically reconfigurable mid-infrared coding radiative metasurface, which allows for switching peak spectral emissivity values between low and high through laser pulses. Additionally, visible scattering patterns can be independently modulated, showing potential applications in anti-counterfeiting labels and other fields.
Article
Materials Science, Multidisciplinary
Changping Zhang, Maoliang Wei, Jun Zheng, Shujun Liu, Hongyuan Cao, Yishu Huang, Ying Tan, Ming Zhang, Yiwei Xie, Zejie Yu, Junying Li, Hui Ye, Lan Li, Hongtao Lin, Huan Li, Yaocheng Shi, Liu Liu, Daoxin Dai
Summary: This study demonstrates nonvolatile multilevel switching of silicon photonic devices with Ge2Sb2Te5 (GST) using In2O3 transparent microheaters. By electro-thermally induced phase transitions, repeatable and reversible multilevel modulation of GST is achieved. The precise multilevel phase-change modulation is crucial for the development of nonvolatile reconfigurable switches and variable attenuation devices in large-scale programmable optoelectronic systems.
ADVANCED OPTICAL MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Danian Wang, Lin Zhao, Siyu Yu, Xueyang Shen, Jiang-Jing Wang, Chaoquan Hu, Wen Zhou, Wei Zhang
Summary: The integration of chalcogenide phase-change materials (PCMs) with optical devices has led to extensive research in non-volatile tunable optical devices. This review summarizes the latest progress in high-performance tunable optical PCM devices and discusses the impact of materials design and novel device structures on optical properties. It also highlights recent advances in microheater fabrication for electronic-photonic integration and outlines future opportunities in optical PCMs and non-volatile nanophotonics.
Article
Chemistry, Multidisciplinary
Shihong Deng, Limei Huang, Jingjun Wu, Pengju Pan, Qian Zhao, Tao Xie
Summary: This study demonstrates a system based on digitally light-cured polymeric phase-change material that enables pixelated control of crystallization kinetics, allowing for temporal optical communication and self-evolving infrared thermal images.
ADVANCED MATERIALS
(2021)
Letter
Optics
Jorge Parra, Juan Navarro-Arenas, Mariela Menghini, Maria Recaman, Jean Pierre-Locquet, Pablo Sanchis
Summary: This work presents an optical limiter based on silicon photonics with an ultracompact VO2/Si waveguide, featuring a thermal tunable threshold power of only about 3.5 mW and broadband spectral characteristics. It offers a new pathway towards integrated optical limiters for dense and low-power photonic integrated circuits.
Review
Nanoscience & Nanotechnology
Thomas Ferreira de Lima, Eli A. Doris, Simon Bilodeau, Weipeng Zhang, Aashu Jha, Hsuan-Tung Peng, Eric C. Blow, Chaoran Huang, Alexander N. Tait, Bhavin J. Shastri, Paul R. Prucnal
Summary: This paper introduces neuromorphic photonic processors based on resonator weight banks, which are emerging candidate technology for enabling modern artificial intelligence in high speed analog systems. These purpose-built analog devices leverage the physics of resonator devices to implement vector multiplications, offering efficiency, latency, and throughput advantages over equivalent electronic circuits. However, the challenges of compensation for fabrication variations and environmental disturbances need to be addressed through automated design and control methodologies for practical deployment.