A deep neural network interatomic potential for studying thermal conductivity of β-Ga2O3

2020 ◽  
Vol 117 (15) ◽  
pp. 152102
Author(s):  
Ruiyang Li ◽  
Zeyu Liu ◽  
Andrew Rohskopf ◽  
Kiarash Gordiz ◽  
Asegun Henry ◽  
...  
Keyword(s):  
Neural Network ◽  
Thermal Conductivity ◽  
Deep Neural Network ◽  
Interatomic Potential

scholarly journals Development of interatomic potential for Al–Tb alloys using a deep neural network learning method

2020 ◽  
Vol 22 (33) ◽  
pp. 18467-18479 ◽  
Author(s):  
L. Tang ◽  
Z. J. Yang ◽  
T. Q. Wen ◽  
K. M. Ho ◽  
M. J. Kramer ◽  
...  
Keyword(s):  
Neural Network ◽  
Ab Initio ◽  
Structural Properties ◽  
Deep Neural Network ◽  
Interatomic Potential ◽  
Learning Method ◽  
Neural Network Learning ◽  
Network Learning ◽  
Formation Energies

The developed deep neural network (DNN) potential can describe the structural properties of the Al90Tb10 liquid and the formation energies of Al–Tb crystals with the accuracy of ab initio calculations.

Deep Neural Network Classification of I-123 Ioflupane SPECT

2020 ◽  
Author(s):  
David T. Wang ◽  
Brady Williamson ◽  
Thomas Eluvathingal ◽  
Bruce Mahoney ◽  
Jennifer Scheler
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Neural Network Classification

Method of determination of the text direction on the image with the use of convolutional neural network

2020 ◽  
pp. 96-99
Author(s):  
P.L. Nikolaev
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Deep Neural Network ◽  
Binary Classification ◽  
Synthetic Data ◽  
Real Data ◽  
Method Of Determination ◽  
Classification Of Images

This article deals with method of binary classification of images with small text on them Classification is based on the fact that the text can have 2 directions – it can be positioned horizontally and read from left to right or it can be turned 180 degrees so the image must be rotated to read the sign. This type of text can be found on the covers of a variety of books, so in case of recognizing the covers, it is necessary first to determine the direction of the text before we will directly recognize it. The article suggests the development of a deep neural network for determination of the text position in the context of book covers recognizing. The results of training and testing of a convolutional neural network on synthetic data as well as the examples of the network functioning on the real data are presented.

Underwater Fish Images Classification by Deep Neural Network

2020 ◽  
Author(s):  
Ala Supriya ◽  
Chiluka Venkat ◽  
Aliketti Deepak ◽  
GV Hari Prasad
Keyword(s):  
Neural Network ◽  
Deep Neural Network
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