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Paper Abstract and Keywords
Presentation 2021-11-12 15:45
[Invited Talk] Acceleration of nonequilibrium Green's function simulation for nanoscale devices by applying machine-learning model
Satofumi Souma (Kobe Univ.) SDM2021-65
Abstract (in Japanese) (See Japanese page) 
(in English) In device simulation based on the non-equilibrium Green's function method, the calculation of the non-equilibrium space charge distribution, which requires matrix calculation, becomes a bottleneck. We propose a method to reduce the computational cost by applying the convolutional neural network (CNN). In particular, we describe a method for predicting the charge density distribution in the case of ballistic transport and a method for predicting the carrier density spectrum when scattering such as electron phonon scattering is taken into consideration.
Keyword (in Japanese) (See Japanese page) 
(in English) Device simulation / nonequilibrium Green's function method / machine learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 235, SDM2021-65, pp. 66-71, Nov. 2021.
Paper # SDM2021-65 
Date of Issue 2021-11-04 (SDM) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SDM2021-65

Conference Information
Committee SDM  
Conference Date 2021-11-11 - 2021-11-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Process, Device, Circuit simulation, etc. 
Paper Information
Registration To SDM 
Conference Code 2021-11-SDM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of nonequilibrium Green's function simulation for nanoscale devices by applying machine-learning model 
Sub Title (in English)  
Keyword(1) Device simulation  
Keyword(2) nonequilibrium Green's function method  
Keyword(3) machine learning  
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1st Author's Name Satofumi Souma  
1st Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2021-11-12 15:45:00 
Presentation Time 60 minutes 
Registration for SDM 
Paper # SDM2021-65 
Volume (vol) vol.121 
Number (no) no.235 
Page pp.66-71 
#Pages 6 
Date of Issue 2021-11-04 (SDM) 

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