Chenming Hu
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View article: Deep Hedging with Reinforcement Learning: A Practical Framework for Option Risk Management
Deep Hedging with Reinforcement Learning: A Practical Framework for Option Risk Management Open
We present a reinforcement-learning (RL) framework for dynamic hedging of equity index option exposures under realistic transaction costs and position limits. We hedge a normalized option-implied equity exposure (one unit of underlying del…
View article: Application of explainable AI on deep learning-based gate length scalable IV parameter extractor for BSIM-IMG
Application of explainable AI on deep learning-based gate length scalable IV parameter extractor for BSIM-IMG Open
View article: Physical Neural Network Compact Model for Fast and Flexible Transistor Modeling
Physical Neural Network Compact Model for Fast and Flexible Transistor Modeling Open
View article: Continuous single-crystal germanium films using elevated-laser-liquid-phase-epitaxy technique for monolithic 3D integration
Continuous single-crystal germanium films using elevated-laser-liquid-phase-epitaxy technique for monolithic 3D integration Open
In this study, we present a novel elevated-laser-liquid-phase-epitaxy (ELLPE) technique that has been developed for the fabrication of single-crystal germanium (Ge) films with (100) orientation, which is ideal for monolithic three-dimensio…
View article: Optimal Brain Apoptosis
Optimal Brain Apoptosis Open
The increasing complexity and parameter count of Convolutional Neural Networks (CNNs) and Transformers pose challenges in terms of computational efficiency and resource demands. Pruning has been identified as an effective strategy to addre…
View article: Impact Ionization in LDMOS Transistors: Improved Compact Model and Asymmetry Under Forward and Reverse Modes of Operation
Impact Ionization in LDMOS Transistors: Improved Compact Model and Asymmetry Under Forward and Reverse Modes of Operation Open
View article: Application of Explainable Ai on Deep Learning-Based Gate Length Scalable IV Parameter Extractor for Bsim-Img
Application of Explainable Ai on Deep Learning-Based Gate Length Scalable IV Parameter Extractor for Bsim-Img Open
View article: Interface-modulated TiN/(Cu/TiN)ₙ multilayer film for synergistic optimization of electromagnetic shielding and infrared stealth
Interface-modulated TiN/(Cu/TiN)ₙ multilayer film for synergistic optimization of electromagnetic shielding and infrared stealth Open
View article: High-entropy alloys as magnetic shielding materials in low-frequency wireless power transmission
High-entropy alloys as magnetic shielding materials in low-frequency wireless power transmission Open
Soft magnetic materials are required to exhibit high saturation magnetization and low coercivity. Iron-based metal alloys, such as FeMnZn, are commonly used commercial soft magnetic materials with electromagnetic shielding functions. Howev…
View article: Utilizing Symmetric BSIM-SOI SPICE Model for Dynamically Depleted RF SOI T/R Switches and Logic Circuits
Utilizing Symmetric BSIM-SOI SPICE Model for Dynamically Depleted RF SOI T/R Switches and Logic Circuits Open
In this paper, we present the symmetric BSIM-SOI compact model, specifically designed for Dynamically Depleted Silicon-on-Insulator (DDSOI) MOSFETs, with an emphasis on optimizing their performance in RF Transmit/Receive (T/R) switch appli…
View article: Fully Asynchronous Neuromorphic Perception for Mobile Robot Dodging with Loihi Chips
Fully Asynchronous Neuromorphic Perception for Mobile Robot Dodging with Loihi Chips Open
Sparse and asynchronous sensing and processing in natural organisms lead to ultra low-latency and energy-efficient perception. Event cameras, known as neuromorphic vision sensors, are designed to mimic these characteristics. However, fully…
View article: Growth Behavior of Ni on Hydrogen-Etched WS<sub>2</sub> Surface
Growth Behavior of Ni on Hydrogen-Etched WS<sub>2</sub> Surface Open
Transition metal dichalcogenides (TMDs) are 2D materials in which the layers are stacked together by van der Waals forces. Although TMDs are expected to be promising for electronic applications, forming a uniform electrode on them is chall…
View article: A SPICE-Compatible Neural Network Compact Model for Efficient IC Simulations
A SPICE-Compatible Neural Network Compact Model for Efficient IC Simulations Open
We present a SPICE-compatible neural-network- based compact model for advanced FETs. The model consists of an IV and QV network which have all terminal currents and charges and includes geometry dependence. The study of the activation func…
View article: A Novel Neural Network-Based Transistor Compact Model Including Self-Heating
A Novel Neural Network-Based Transistor Compact Model Including Self-Heating Open
We develop a SPICE-compatible neural network-based compact model to accurately capture the temperature dependence and self-heating effects in Field Effect Transistors (FETs). The model is based on artificial neural networks with no semi-em…
View article: Non-Quasi-Static Modeling of Neural Network-Based Transistor Compact Model for Fast Transient, AC, and RF Simulations
Non-Quasi-Static Modeling of Neural Network-Based Transistor Compact Model for Fast Transient, AC, and RF Simulations Open
We develop a charge deficit-based non-quasi-static (NQS) model that is compatible with neural network-based transistor compact models for transient, AC, and RF simulations. The charge deficit model calculates the deficient or surplus charg…
View article: Advancements in single-crystal silicon with elevated-laser-liquid-phase-epitaxy (ELLPE) for monolithic 3D ICs
Advancements in single-crystal silicon with elevated-laser-liquid-phase-epitaxy (ELLPE) for monolithic 3D ICs Open
In this study, we present a low thermal budget elevated-laser-liquid-phase-epitaxy technique designed for the precise fabrication of single-crystal islands (SCIs) intended for use in middle-end-of-line (MEOL) FinFETs. Each of these SCIs fe…
View article: Spike-EVPR: Deep Spiking Residual Networks with SNN-Tailored Representations for Event-Based Visual Place Recognition
Spike-EVPR: Deep Spiking Residual Networks with SNN-Tailored Representations for Event-Based Visual Place Recognition Open
Event cameras are ideal for visual place recognition (VPR) in challenging environments due to their high temporal resolution and high dynamic range. However, existing methods convert sparse events into dense frame-like representations for …
View article: Ferroelectric Enhancement in a TiN/Hf<sub>1–<i>x</i></sub>Zr<sub><i>x</i></sub>O<sub>2</sub>/W Device with Controlled Oxidation of the Bottom Electrode
Ferroelectric Enhancement in a TiN/Hf<sub>1–<i>x</i></sub>Zr<sub><i>x</i></sub>O<sub>2</sub>/W Device with Controlled Oxidation of the Bottom Electrode Open
Hf1–xZxO2 (HZO) is a promising ferroelectric (FE) material with CMOS compatibility, while the TiN/HZO/W metal-ferroelectric-metal structure provides balanced thermal expansion for stacking. In this study, we developed a 7 nm film of HZO wi…
View article: Conformal bilayer <i>h</i>-AlN epitaxy on WS2 by ALD with ultralow leakage current
Conformal bilayer <i>h</i>-AlN epitaxy on WS2 by ALD with ultralow leakage current Open
In this work, we develop an ultrathin epitaxial h-AlN as an interfacial layer (IL) between HfO2 and monolayer WS2 channel by atomic layer deposition (ALD). The growth of ultrathin dielectrics using ALD has been challenging due to the dangl…
View article: A Compact Model of Perpendicular Spin-Transfer-Torque Magnetic Tunnel Junction
A Compact Model of Perpendicular Spin-Transfer-Torque Magnetic Tunnel Junction Open
We present a new compact model of a perpendicular spin-transfer-torque (STT) magnetic tunnel junction (MTJ). Previous studies on STT-MTJs have either focused on solving the Landau-Lifshitz-Gilbert (LLG) equation or utilizing critical curre…
View article: Deep learning-based I-V Global Parameter Extraction for BSIM-CMG
Deep learning-based I-V Global Parameter Extraction for BSIM-CMG Open
A new deep-learning-based parameter extraction for a global (multiple gate lengths) BSIM-CMG drain-current model is presented in this paper. The approach starts with generating 300K training dataset, consisting of 778 million data points t…
View article: Corrections to “Low-Temperature Microwave Annealing Processes for Future IC Fabrication—A Review” [Mar 14 651-665]
Corrections to “Low-Temperature Microwave Annealing Processes for Future IC Fabrication—A Review” [Mar 14 651-665] Open
The above article [1] presented data on microwave annealing of implanted ions in silicon. There are several typos in the figure captions and labels, and the authors would like to correct them. The text is correct, and the conclusion of [1]…
View article: EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-based Optical Flow with Hybrid Motion-Compensation Loss
EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-based Optical Flow with Hybrid Motion-Compensation Loss Open
Event cameras offer promising properties, such as high temporal resolution and high dynamic range. These benefits have been utilized into many machine vision tasks, especially optical flow estimation. Currently, most existing event-based w…
View article: Neural Network-Based BSIM Transistor Model Framework: Currents, Charges, Variability, and Circuit Simulation
Neural Network-Based BSIM Transistor Model Framework: Currents, Charges, Variability, and Circuit Simulation Open
We present a neural network (NN)-based transistor modeling framework, which includes drain, source, and gate currents and charges and their variabilities. The training data are generated by a Berkeley short-channel IGFET model (BSIM) with …
View article: Droplet Penetration Model Based on Canopy Porosity for Spraying Applications
Droplet Penetration Model Based on Canopy Porosity for Spraying Applications Open
Analysing the penetration and droplet deposition characteristics in the canopy of fruit trees is critical for optimising the operational parameters of air-assisted spraying equipment, achieving precise application of chemicals, and improvi…
View article: A Comprehensive RF Characterization and Modeling Methodology for the 5nm Technology Node FinFETs
A Comprehensive RF Characterization and Modeling Methodology for the 5nm Technology Node FinFETs Open
This paper aims to provide insights into the thermal, analog, and RF attributes, as well as a novel modeling methodology, for the FinFET at the industry standard 5nm CMOS technology node. Thermal characterization shows that for a 165K chan…
View article: Write Disturb-Free Ferroelectric FETs With Non-Accumulative Switching Dynamics
Write Disturb-Free Ferroelectric FETs With Non-Accumulative Switching Dynamics Open
HfO2 based ferroelectric field-effect transistors (FeFETs) are promising for low-power and high-speed non-volatile memories. However, FeFETs can be susceptible to write disturbs due to their accumulative switching behavior, which limits th…
View article: Neural Network-Based and Modeling With High Accuracy and Potential Model Speed<i/> <i/>
Neural Network-Based and Modeling With High Accuracy and Potential Model Speed<i/> <i/> Open
In this brief, we demonstrate a neural network (NN)-based device modeling framework. This NN model is built to model advanced field-effect transistors (FETs). Specific transfer functions and loss functions are chosen to achieve high accura…
View article: Galacto-oligosaccharides and xylo-oligosaccharides affect meat flavor by altering the cecal microbiome, metabolome, and transcriptome of chickens
Galacto-oligosaccharides and xylo-oligosaccharides affect meat flavor by altering the cecal microbiome, metabolome, and transcriptome of chickens Open
Studies have shown that prebiotics can affect meat quality; however, the underlying mechanisms remain poorly understood. This study aimed to investigate whether prebiotics affect the flavor of chicken meat via the gut microbiome and metabo…
View article: A Compact Model of Nanoscale Ferroelectric Capacitor
A Compact Model of Nanoscale Ferroelectric Capacitor Open
— In this brief, we present a compact model of nanoscale ferroelectric (FE) capacitors. We first use the phase-field simulation to study the polarization switching of very small FE capacitor that contains only a few grains. We show that at…