Materials Genome is an analytical and calculation tool that: contains all relationships between all variables of the object; allows to calculate of the values of one part of variables through others; allows to solve of direct and inverse problems; allows to predict of the characteristics of objects, which have not been investigated experimentally yet; allows to predict technology parameters to obtain an object with desired characteristics as well as allows to execute virtual experiment for conditions which cannot be organized or difficultly to organize. The paper presents the Neural Networks as a methodological Materials Genome basis. Possible areas of Neural Networks use are the development of new materials and their production.
Keywords:
Published on: Mar 24, 2023 Pages: 12-15
Full Text PDF
Full Text HTML
DOI: 10.17352/tcsit.000063
CrossMark
Publons
Harvard Library HOLLIS
Search IT
Semantic Scholar
Get Citation
Base Search
Scilit
OAI-PMH
ResearchGate
Academic Microsoft
GrowKudos
Universite de Paris
UW Libraries
SJSU King Library
SJSU King Library
NUS Library
McGill
DET KGL BIBLiOTEK
JCU Discovery
Universidad De Lima
WorldCat
VU on WorldCat
PTZ: We're glad you're here. Please click "create a new query" if you are a new visitor to our website and need further information from us.
If you are already a member of our network and need to keep track of any developments regarding a question you have already submitted, click "take me to my Query."