Fully CMOS-compatible Ternary Inverter with a Memory Function Using Silicon Feedback Field-Effect Transistors (FBFETs)


New technical paper titled "New ternary inverter with memory function using silicon feedback field-effect transistors" was published from researchers at Korea University. Abstract: In this study, we present a fully complementary metal–oxide–semiconductor-compatible ternary inverter with a memory function using silicon feedback field-effect transistors (FBFETs). FBFETs operate with a pos... » read more

Ultra-Fast Photonic Computing Using Polarization


New technical paper titled "Polarization-selective reconfigurability in hybridized-active-dielectric nanowires" was recently published by researchers at University of Oxford and University of Exeter.  The paper demonstrates "the ability to use polarization as a parameter to selectively modulate the conductance of individual nanowires within a multi-nanowire system. By using polarization as the... » read more

Flip-Chip Integration of a GaSb Semiconductor Optical Amplifier with a Silicon Photonic Circuit


New research paper titled "Hybrid silicon photonics DBR laser based on flip-chip integration of GaSb amplifiers and µm-scale SOI waveguides" by researchers at Tampere University (Finland). Abstract: "The development of integrated photonics experiences an unprecedented growth dynamic, owing to accelerated penetration to new applications. This leads to new requirements in terms of functional... » read more

Research Bits: June 14


Photonic deep neural network chip Engineers from the University of Pennsylvania built a photonic deep neural network on a 9.3 square millimeter chip they say is faster and more efficient at classifying images, with the ability to process nearly two billion images a second. The chip uses a series of waveguides that form 'neutron layers' mimicking the brain. “Our chip processes information ... » read more

MIT: Stackable AI Chip With Lego-style Design


New technical paper titled "Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence" from researchers at MIT, along with Harvard University, Tsinghua University, Zhejiang University, and others. Partial Abstract: "Here we report stackable hetero-integrated chips that use optoelectronic device arrays for chip-to-chip communication and neuromorphic... » read more

Compact and Tunable Electro-Optic Modulator for Free Space Applications Modulating Light at Gigahertz Speed


New research paper titled "Gigahertz free-space electro-optic modulators based on Mie resonances" from researchers at Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), in collaboration with researchers at the department of Chemistry at the University of Washington. Partial Abstract "Electro-optic modulators are essential for sensing, metrology and telecommunicatio... » read more

Machine Learning-Based Optimization Of Chiral Photonic Nanostructures: Evolution- And Neural Network-Based Design


Chiral photonics opens new pathways to manipulate light-matter interactions and tailor the optical response of metasurfaces and -materials by nanostructuring nontrivial patterns. Chirality of matter, such as that of molecules, and light, which in the simplest case is given by the handedness of circular polarization, have attracted much attention for applications in chemistry, nanophotonics and ... » read more

Two Chip-Scale Photonic Systems For Optical Data Transmission & Microwave Photonics


New research paper "Microcomb-driven silicon photonic systems" from Peking University, UCSB, and Peng Cheng Laboratory. Abstract "Microcombs have sparked a surge of applications over the past decade, ranging from optical communications to metrology. Despite their diverse deployment, most microcomb-based systems rely on a large amount of bulky elements and equipment to fulfil their desir... » read more

How To Create A Physics-Based Laser Compact Model For A Photonic Process Design Kit (PDK)


This paper discusses the importance of accurate laser compact models in photonic process design kits, describes different laser models available in Ansys Lumerical INTERCONNECT, and explains optimal steps to create a laser compact model that includes temperature and noise effects. Click here to access the paper. » read more

Neuromorphic photonic circuit modeling in Verilog-A


Abstract "One of the significant challenges in neuromorphic photonic architectures is the lack of good tools to simulate large-scale photonic integrated circuits. It is crucial to perform simulations on a single platform to capture the circuit’s behavior in the presence of both optical and electrical components. Here, we adopted a Verilog-A based approach to model neuromorphic photonic cir... » read more

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