scholarly journals Low Resistance Asymmetric III-Nitride Tunnel Junctions Designed by Machine Learning

Nanomaterials ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2466
Author(s):  
Rongyu Lin ◽  
Peng Han ◽  
Yue Wang ◽  
Ronghui Lin ◽  
Yi Lu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computer Aided Design ◽  
Electronic Devices ◽  
High Current ◽  
Time Prediction ◽  
Current Densities ◽  
Resistance Prediction ◽  
Design Software ◽  
Aided Design ◽  
First Time

The tunnel junction (TJ) is a crucial structure for numerous III-nitride devices. A fundamental challenge for TJ design is to minimize the TJ resistance at high current densities. In this work, we propose the asymmetric p-AlGaN/i-InGaN/n-AlGaN TJ structure for the first time. P-AlGaN/i-InGaN/n-AlGaN TJs were simulated with different Al or In compositions and different InGaN layer thicknesses using TCAD (Technology Computer-Aided Design) software. Trained by these data, we constructed a highly efficient model for TJ resistance prediction using machine learning. The model constructs a tool for real-time prediction of the TJ resistance, and the resistances for 22,254 different TJ structures were predicted. Based on our TJ predictions, the asymmetric TJ structure (p-Al0.7Ga0.3N/i-In0.2Ga0.8N/n-Al0.3Ga0.7N) with higher Al composition in p-layer has seven times lower TJ resistance compared to the prevailing symmetric p-Al0.3Ga0.7N/i-In0.2Ga0.8N/n-Al0.3Ga0.7N TJ. This study paves a new way in III-nitride TJ design for optical and electronic devices.

scholarly journals Edge Models with the CAD Software: Creating a New Context for Mathematics in Elementary School

2021 ◽  
Author(s):  
Felicitas Pielsticker ◽  
Ingo Witzke ◽  
Amelie Vogler
Keyword(s):  
Elementary Schools ◽  
Digital Media ◽  
Computer Aided Design ◽  
Subjective Experience ◽  
Fourth Graders ◽  
Point Of View ◽  
Toulmin Model ◽  
Geometric Objects ◽  
Design Software ◽  
Aided Design

AbstractDigital media have become increasingly important in recent years and can offer new possibilities for mathematics education in elementary schools. From our point of view, geometry and geometric objects seem to be suitable for the use of computer-aided design software in mathematics classes. Based on the example of Tinkercad, the use of CAD software — a new and challenging context in elementary schools — is discussed within the approach of domains of subjective experience and the Toulmin model. An empirical study examined the influence of Tinkercad on fourth-graders’ development of a model of a geometric solid and related reasoning processes in mathematics classes.

scholarly journals Comparison of Computer Extended Descriptive Geometry (CeDG) with CAD in the Modeling of Sheet Metal Patterns

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 685
Author(s):  
Manuel Prado-Velasco ◽  
Rafael Ortiz-Marín
Keyword(s):  
Sheet Metal ◽  
Computer Aided Design ◽  
Parametric Modeling ◽  
Descriptive Geometry ◽  
The Novel ◽  
Forming Process ◽  
Solid Models ◽  
Design Software ◽  
Solid Edge ◽  
Aided Design

The emergence of computer-aided design (CAD) has propelled the evolution of the sheet metal engineering field. Sheet metal design software tools include parameters associated to the part’s forming process during the pattern drawing calculation. Current methods avoid the calculation of a first pattern drawing of the flattened part’s neutral surface, independent of the forming process, leading to several methodological limitations. The study evaluates the reliability of the Computer Extended Descriptive Geometry (CeDG) approach to surpass those limitations. Three study cases that cover a significative range of sheet metal systems are defined and the associated solid models and patterns’ drawings are computed through Geogebra-based CeDG and two selected CAD tools (Solid Edge 2020, LogiTRACE v14), with the aim of comparing their reliability and accuracy. Our results pointed to several methodological lacks in LogiTRACE and Solid Edge that prevented to solve properly several study cases. In opposition, the novel CeDG approach for the computer parametric modeling of 3D geometric systems overcame those limitations so that all models could be built and flattened with accuracy and without methodological limitations. As additional conclusion, the success of CeDG suggests the necessity to recover the relevance of descriptive geometry as a key core in graphic engineering.

Analysis and Processing of Index Tests Results at Double-Adjust Hydraulic Turbines with a Computer-Aided Design Software

2016 ◽  
Vol 823 ◽  
pp. 396-401
Author(s):  
Adrian Cuzmoş ◽  
Dorian Nedelcu ◽  
Constantin Viorel Câmpian ◽  
Cristian Fănică ◽  
Ana Maria Budai
Keyword(s):  
Computer Aided Design ◽  
Computer Aided ◽  
Hydraulic Turbines ◽  
Design Software ◽  
Index Tests ◽  
Aided Design

The paper presents a method developed and used by the CCHAPT researchers for the graphic plotting of the index tests results for hydraulic turbines, the comparison of the efficiency curves resulted from testing to those obtained by the model transposition [1] i.e. the determination and comparison of the existing combinatory cam with that obtained from tests.The method presented in the paper was born from the need for processing and presenting the results of index tests within the shortest delay and eliminating the errors that might occur in the results plotting.

scholarly journals Applicability of Formwork Automation Design Software for Aluminum Formwork

2020 ◽  
Vol 10 (24) ◽  
pp. 9029
Author(s):  
Bokyeong Lee ◽  
Hyeonggil Choi ◽  
Byongwang Min ◽  
Dong-Eun Lee
Keyword(s):  
Computer Aided Design ◽  
Building Information Modeling ◽  
Three Dimensional ◽  
Simple Algorithm ◽  
Information Modeling ◽  
Two Dimensional ◽  
Building Information ◽  
Design Software ◽  
Modeling Data ◽  
Aided Design

In this study, by applying the developed formwork automation design software to three target structures, we reviewed the applicability of the formwork automation design software for the aluminum formwork. To apply the formwork automation design software, we built an aluminum formwork library based on the conversion of two-dimensional (2D) computer-aided design (CAD) data to three-dimensional building information modeling data for all the components of the aluminum formwork. The results of the automated formwork layout on the target structures using the formwork automation design software confirmed that the wall and deck members were laid out by the set algorithm according to the formwork size and direction. However, because of the limited functionality of the software, the level of completion of the formwork layout was found to be lower than that of the manual formwork layout based on 2D CAD data. The currently developed software is based on a simple algorithm, but has a drawback in that the automated layout is limited to only some of its members. Therefore, additional research should be conducted on the development of advanced software through the diversification of the algorithm, automation of preprocessing of the mesh, and analysis of the relationships of all the members comprising the formwork.

scholarly journals Development of a computer-aided design software for the quantitative evaluation of aesthetic damage

PLoS ONE ◽  
2019 ◽  
Vol 14 (12) ◽  
pp. e0226322
Author(s):  
Nelson Massanobu Sakaguti ◽  
Mário Marques Fernandes ◽  
Luiz Eugênio Nigro Mazzilli ◽  
Juan Antonio Cobo Plana ◽  
Fernanda Capurucho Horta Bouchardet ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Computer Aided Design ◽  
Computer Aided ◽  
Design Software ◽  
Aided Design

Design with Depth

2005 ◽  
Vol 127 (12) ◽  
pp. 32-34
Author(s):  
Jean Thilmany
Keyword(s):  
Computer Aided Design ◽  
Three Dimensional ◽  
3D Design ◽  
Computer Aided ◽  
University Professor ◽  
Business Web ◽  
Design Software ◽  
Computer Monitors ◽  
Web Surfing ◽  
Aided Design

This article discusses that how mechanical engineers will pair their already-familiar computer-aided design software with not-so-familiar three-dimensional (3D) displays for true 3D design. This is in accordance to a number of vendors' intent on supplying the newfangled computer monitors, within the next two decades. Although some of the devices are already on the market, affordable 3D monitors and displays seem to be more than a decade away, according to one university professor at work on such a project. Widespread adoption is still hindered by factors such as cost, software availability, and lack of a mouse-like device needed to interact with what’s on screen. Over the past 25 years, mechanical engineers have witnessed evolutionary change in design methods-from pen and paper to two-dimensional software and now to 3-D computer-aided design. While software makers have stepped up with sleeker and faster modeling capabilities, visualization lags. Computer users two decades out will carry out all business, web surfing, and gaming on 3-D displays. That next generation may well find the very idea of 2-D monitors to be as dated as record albums seem to teenagers today.

Orthogonal Distance Fields Representation for Machine-Learning Based Manufacturability Analysis

2020 ◽  
Author(s):  
Aditya Balu ◽  
Sambit Ghadai ◽  
Soumik Sarkar ◽  
Adarsh Krishnamurthy
Keyword(s):  
Machine Learning ◽  
Computer Aided Design ◽  
Boundary Representation ◽  
Engineering Product ◽  
Distance Fields ◽  
Computer Aided ◽  
Cad Models ◽  
Product Design Process ◽  
3D Cnn ◽  
Aided Design

Abstract Computer-aided Design for Manufacturing (DFM) systems play an essential role in reducing the time taken for product development by providing manufacturability feedback to the designer before the manufacturing phase. Traditionally, DFM rules are hand-crafted and used to accelerate the engineering product design process by integrating manufacturability analysis during design. Recently, the feasibility of using a machine learning-based DFM tool in intelligently applying the DFM rules have been studied. These tools use a voxelized representation of the design and then use a 3D-Convolutional Neural Network (3D-CNN), to provide manufacturability feedback. Although these frameworks work effectively, there are some limitations to the voxelized representation of the design. In this paper, we introduce a new representation of the computer-aided design (CAD) model using orthogonal distance fields (ODF). We provide a GPU-accelerated algorithm to convert standard boundary representation (B-rep) CAD models into ODF representation. Using the ODF representation, we build a machine learning framework, similar to earlier approaches, to create a machine learning-based DFM system to provide manufacturability feedback. As proof of concept, we apply this framework to assess the manufacturability of drilled holes. The framework has an accuracy of more than 84% correctly classifying the manufacturable and non-manufacturable models using the new representation.

scholarly journals Digital design and parameters optimization for plasmonic circuits

2019 ◽  
Vol 220 ◽  
pp. 03025
Author(s):  
Alexander Shesterikov ◽  
Andrey Leksin ◽  
Alexei Prokhorov
Keyword(s):  
Quantum Dots ◽  
Computer Aided Design ◽  
Surface Plasmon Polariton ◽  
Parameters Optimization ◽  
Digital Design ◽  
Plasmonic Waveguides ◽  
Full Field ◽  
Graphene Layers ◽  
Aided Design ◽  
First Time

The mathematical models for the CAD-platform of plasmonic circuits design have been developed. This platform provides the efficient framework for computer-aided design of semiconductor quantum dots and full-field electromagnetic simulation of surface plasmon-polariton propagation in plasmonic waveguides. The topology of an all-plasmonic devices based on graphene layers and quantum dots is proposed for the first time.

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