A5101569590- 3D Shape Modeling and Analysis
- Quantum Dots Synthesis And Properties
- Chalcogenide Semiconductor Thin Films
- 3D Surveying and Cultural Heritage
- Computer Graphics and Visualization Techniques
- Radio Frequency Integrated Circuit Design
- Electronic Packaging and Soldering Technologies
- GaN-based semiconductor devices and materials
- Advancements in Semiconductor Devices and Circuit Design
- Semiconductor materials and devices
- Advanced Vision and Imaging
- Advanced Power Amplifier Design
- Semiconductor Quantum Structures and Devices
- Robotics and Sensor-Based Localization
- Electrostatic Discharge in Electronics
- Complexity and Algorithms in Graphs
- Human Pose and Action Recognition
- Ion-surface interactions and analysis
- Advanced Graph Neural Networks
- Integrated Circuits and Semiconductor Failure Analysis
- Graphene research and applications
- VLSI and Analog Circuit Testing
- Engineering Applied Research
- Organic Electronics and Photovoltaics
- Optical Coatings and Gratings
Hangzhou Dianzi University
2023-2025
Tsinghua University
2021-2024
Beijing Institute of Technology
2021
Jilin University
2019
Rensselaer Polytechnic Institute
2011-2017
Purdue University West Lafayette
1992-1994
Blue (494 nm) light emitting quantum well diodes based on Zn(S,Se) p-n junctions are demonstrated at room temperature. P-type is realized by using a nitrogen rf plasma cell. The diode formed homoepitaxial GaAs buffer layers molecular beam epitaxy. S fraction of the alloy selected to provide lattice match between II-VI active region and buffer; result an having dislocation density below 105/cm−2. letter discusses emission characteristics as x-ray rocking curve transmission electron microscopy...
We present a framework for fast synthesizing indoor scenes, given room geometry and list of objects with learnt priors. Unlike existing data-driven solutions, which often learn priors by co-occurrence analysis statistical model fitting, our method measures the strengths spatial relations tests complete randomness (CSR), learns discrete based on samples ability to accurately represent exact layout patterns. With priors, achieves both acceleration plausibility partitioning input into disjoint...
The crystal structure of poly(3-hexylthiophene) (P3HT) has been studied by first-principles calculations based on density functional theory. generalized gradient approximation is employed and van der Waals interactions are treated accurately the recently proposed local atomic potential approach. A variety different models were tested, model having lowest energy a noninterdigitated an orthorhombic cell with $a$ $=$ 17.2 \AA{}, $b$ 7.7 $c$ 7.8 where $a$, $b$, lengths lattice vectors...
In this work, a novel approach that combines artificial neural networks (ANNs) and polynomial modeling to efficiently model the behavior of nonlinear RF devices is introduced. Utilizing strengths ANNs in knowledge retention transfer, proposed effectively incorporates new operational states such as different dc biases, frequencies, dies, into existing models. This adaptive capability, addition dynamic sampling techniques only capture crucial characteristics across various states,...
A vertically integrated one transistor memory cell, in which an n-p-n bipolar access is merged with a p-n-p storage capacitor, based on the wide-bandgap semiconductor silicon carbide (SiC), results greatly reduced thermal generation rate. Extrapolation of charge recovery data obtained at elevated temperatures suggests room temperature time over 10/sup 6/ years.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
We present a fast framework for indoor scene synthesis, given room geometry and list of objects with learnt priors. Unlike existing data-driven solutions, which often extract priors by co-occurrence analysis statistical model fitting, our method measures the strengths spatial relations tests complete randomness (CSR), extracts complex based on samples ability to accurately represent discrete layout patterns. With extracted priors, achieves both acceleration plausibility partitioning input...
Abstract This paper proposes a novel approach for modeling the nonlinear behavior of microwave devices, with particular focus on addressing challenging problem compound semiconductor transistors under large‐signal excitation. The utilizes knowledge‐based neural network (KBNN) to construct frequency‐domain behavioral model transistor, which maps incident and scattered waves from coarse fine in cases where fails match new device. network‐based method aims achieve better alignment between...
The energy barrier required for PAMS tetramer degradation can be reduced with spatial isomerization.
Recent studies show increasing demands and interests in automatically generating layouts, while there is still much room for improving the plausibility robustness. In this paper, we present a data-driven layout framework without model formulation loss term optimization. We achieve organize priors directly based on samples from datasets instead of sampling probabilistic models. Therefore, our method enables expressing mathematically inexpressible relations among three or more objects....
The poly harmonic distortion(PHD) model, such as Cardiff has good nonlinear characterization ability and industrial application prospect. However, the prediction accuracy complexity of PHD model are largely dependent on coefficients selected by users. This paper systematically studies possibility simplifying behavior speeding extraction process with practical measurement data a GaN HEMT device. approach will help accurate model.