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Machine Learning for Melting Temperature Predictions and De..:

Karteek K. Bejagam (1609663) ; Jessica Lalonde (11992924) ; Carl N. Iverson (2981847)..
https://figshare.com/articles/journal_contribution/Machine_Learning_for_Melting_Temperature_Predictions_and_Design_in_Polyhydroxyalkanoate-Based_Biopolymers/19010617. , 2022

Link: https://doi.org/10.1021/acs.jpcb.1c08354.s001

RT Journal
T1 <Title>Machine Learning for Melting Temperature Predictions and Design in Polyhydroxyalkanoate-Based Biopolymers</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_19010617&Exemplar=1&LAN=DE
				
A1 Karteek K. Bejagam (1609663)
A1 Jessica Lalonde (11992924)
A1 Carl N. Iverson (2981847)
A1 Babetta L. Marrone (1300947)
A1 Ghanshyam Pilania (1497331)
YR 2022
K1 Medicine
K1 Pharmacology
K1 Biotechnology
K1 Ecology
K1 Plant Biology
K1 Computational Biology
K1 Space Science
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Physical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 using available data
K1 specific motifs forming
K1 specific chemical compositions
K1 plastic pollution demand
K1 ml models developed
K1 melting temperature (<
K1 identifying optimal application
K1 estimating uncertainties underlying
K1 economically viable class
K1 copolymer chemistries along
K1 based search strategy
K1 based chemical space
K1 multiobjective optimization challenges
K1 melting temperature predictions
K1 chemical diversity combined
K1 address polymer design
K1 optimization challenges
K1 polymer backbone
K1 descriptors based
K1 based resources
K1 based copolymers
K1 wide range
K1 rapidly predict
K1 polydispersity indices
K1 machine learning
K1 experimentally measured
K1 evolutionary algorithm
K1 >< sub
JF https://figshare.com/articles/journal_contribution/Machine_Learning_for_Melting_Temperature_Predictions_and_Design_in_Polyhydroxyalkanoate-Based_Biopolymers/19010617
LK http://dx.doi.org/https://doi.org/10.1021/acs.jpcb.1c08354.s001
DO https://doi.org/10.1021/acs.jpcb.1c08354.s001
SF ELIB - SuUB Bremen

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