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Designing a Database Generator Softw...

Prabhu, Vaishali,

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Designing a Database Generator Software for Storing the Properties of Binary and Ternary Mixtures /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Designing a Database Generator Software for Storing the Properties of Binary and Ternary Mixtures // Vaishali Prabhu.
Author:	Prabhu, Vaishali,
Description:	1 electronic resource (58 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-08.
Contained By:	Masters Abstracts International85-08.
Subject:	Chemical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30989313
ISBN:	9798381699500

Designing a Database Generator Software for Storing the Properties of Binary and Ternary Mixtures /
Prabhu, Vaishali,

Designing a Database Generator Software for Storing the Properties of Binary and Ternary Mixtures /Vaishali Prabhu. - 1 electronic resource (58 pages)

Source: Masters Abstracts International, Volume: 85-08.

The properties of specialty mixtures, such as deep eutectic solvents (DESs), have garnered interest in various fields of engineering - including in the fields of electrochemical, biochemical, and polymer engineering. As a DES's physical and chemical properties vary with the identity of compounds added and their respective ratios, an ability to store large amounts of structured data could facilitate such research.For this work, we expanded ChemBDDB, ChemEco's database generator software, so that it may store property data for binary and ternary mixtures. This work provides users with documentation on using ChemBDDB's functions, both through the user interface and through the Python module. Additionally, benchmarking studies were performed for the core processes, with many core processes being nearly instantaneous. Additionally, we added new functions to expand ChemBDDB's user interface to make data science techniques more accessible to users with varying prior experience in data science.In conclusion, ChemBDDB was expanded and augmented to provide users with a more powerful tool to store and interact with mixture and molecule data.

English

ISBN: 9798381699500Subjects--Topical Terms:

560457
Chemical engineering.
Subjects--Index Terms:

Big data

Designing a Database Generator Software for Storing the Properties of Binary and Ternary Mixtures /
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245 1 0 $a Designing a Database Generator Software for Storing the Properties of Binary and Ternary Mixtures / $c Vaishali Prabhu.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (58 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Masters Abstracts International, Volume: 85-08.
500 $a Advisors: Hachmann, Johannes Committee members: Kofke, David A.
502 $b M.S. $c State University of New York at Buffalo $d 2024.
520 $a The properties of specialty mixtures, such as deep eutectic solvents (DESs), have garnered interest in various fields of engineering - including in the fields of electrochemical, biochemical, and polymer engineering. As a DES's physical and chemical properties vary with the identity of compounds added and their respective ratios, an ability to store large amounts of structured data could facilitate such research.For this work, we expanded ChemBDDB, ChemEco's database generator software, so that it may store property data for binary and ternary mixtures. This work provides users with documentation on using ChemBDDB's functions, both through the user interface and through the Python module. Additionally, benchmarking studies were performed for the core processes, with many core processes being nearly instantaneous. Additionally, we added new functions to expand ChemBDDB's user interface to make data science techniques more accessible to users with varying prior experience in data science.In conclusion, ChemBDDB was expanded and augmented to provide users with a more powerful tool to store and interact with mixture and molecule data.
546 $a English
590 $a School code: 0656
650 4 $a Chemical engineering. $3 560457
650 4 $a Computational chemistry. $3 3350019
650 4 $a Chemistry. $3 516420
653 $a Big data
653 $a Data science
653 $a Database software
653 $a Deep eutectic solvents
653 $a Mixture properties
690 $a 0542
690 $a 0219
690 $a 0485
710 2 $a State University of New York at Buffalo. $b Chemical and Biological Engineering. $e degree granting institution. $3 3817064
720 1 $a Hachmann, Johannes $e degree supervisor.
773 0 $t Masters Abstracts International $g 85-08.
790 $a 0656
791 $a M.S.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30989313