1 citations · 4 across the 11 of their papers we have counts for
11 papers
A wafer-scale ultrasensitive programmable chiroptical sensor
Haoyu Xie, Jichao Fan, Zarif Ahmad Razin Bhuiyan +6
Chiroptical enantioselective sensing is gaining traction across various applications. However, intrinsic molecular chiroptical responses are weak, and existing amplification approa…
Carbon-Nanotube/-GaO Heterojunction PIN Diodes
Hunter D. Ellis, Botong Li, Haoyu Xie +4
-GaO is gaining attention as a promising semiconductor for next-generation high-power, high-efficiency, and high-temperature electronic devices, thanks to its exceptiona…
Optical modeling, solver, and design of wafer-scale single-enantiomer carbon nanotube film and reconfigurable chiral photonic device
Jichao Fan, Benjamin Hillam, Cheng Guo +6
The interaction of circularly polarized light with chiral matter and functional devices enables novel phenomena and applications. Recently, wafer-scale solid-state single-enantiome…
Optical Neural Engine for Solving Scientific Partial Differential Equations
Yingheng Tang, Ruiyang Chen, Minhan Lou +5
Solving partial differential equations (PDEs) is the cornerstone of scientific research and development. Data-driven machine learning (ML) approaches are emerging to accelerate tim…
A programmable wafer-scale chiroptical heterostructure of twisted aligned carbon nanotubes and phase change materials
Jichao Fan, Ruiyang Chen, Minhan Lou +4
The ability to design and dynamically control chiroptical responses in solid-state matter at wafer scale enables new opportunities in various areas. Here we present a full stack of…
A critical review on recent progress of solution-processed monolayer assembly of nanomaterials and applications
Liang Zhao, Jichao Fan, Chenchi Gong +3
The rapid development in nanotechnology has necessitated accurate and efficient assembly strategies for nanomaterials. Monolayer assembly of nanomaterials (MAN) represents an extre…
Controlled synthetic chirality in macroscopic assemblies of carbon nanotubes
Jacques Doumani, Minhan Lou, Oliver Dewey +9
There is an emerging recognition that successful utilization of chiral degrees of freedom can bring new scientific and technological opportunities to diverse research areas. Hence,…
Perfectly Perform Machine Learning Task with Imperfect Optical Hardware Accelerator
Jichao Fan, Yingheng Tang, Weilu Gao
Optical architectures have been emerging as an energy-efficient and high-throughput hardware platform to accelerate computationally intensive general matrix-matrix multiplications…
Physics-aware Complex-valued Adversarial Machine Learning in Reconfigurable Diffractive All-optical Neural Network
Ruiyang Chen, Yingjie Li, Minhan Lou +5
Diffractive optical neural networks have shown promising advantages over electronic circuits for accelerating modern machine learning (ML) algorithms. However, it is challenging to…
Wafer-scale, full-coverage, acoustic self-limiting assembly of particles on flexible substrates
Liang Zhao, Bchara Sidnawi, Jichao Fan +6
Self-limiting assembly of particles represents the state-of-the-art controllability in nanomanufacturing processes where the assembly stops at a designated stage1,2, providing a de…
Physics-Guided and Physics-Explainable Recurrent Neural Network for Time Dynamics in Optical Resonances
Yingheng Tang, Jichao Fan, Xinwei Li +4
Understanding the time evolution of physical systems is crucial to revealing fundamental characteristics that are hidden in frequency domain. In optical science, high-quality reson…