6 citations · 7 across the 9 of their papers we have counts for
9 papers
All-Optical Segmentation via Diffractive Neural Networks for Autonomous Driving
Yingjie Li, Daniel Robinson, Weilu Gao +1
Semantic segmentation and lane detection are crucial tasks in autonomous driving systems. Conventional approaches predominantly rely on deep neural networks (DNNs), which incur hig…
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…
MatterChat: A Multi-Modal LLM for Material Science
Yingheng Tang, Wenbin Xu, Jie Cao +6
Understanding and predicting the properties of inorganic materials is crucial for accelerating advancements in materials science and driving applications in energy, electronics, an…
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…
Digitized Phase Change Material Heterostack for Diffractive Optical Neural Network
Ruiyang Chen, Cunxi Yu, Weilu Gao
All-optical and fully reconfigurable diffractive optical neural network (DONN) architectures are promising for high-throughput and energy-efficient machine learning (ML) hardware a…
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…