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2,071 to 2,080 of 7,945 Results
PEO.itp
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
application/vnd.shana.informed.formtemplate - 544.0 KB - MD5: 7edcf6f95bf0f78fd052dad13031153b
PEO.top
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 392 B - MD5: 227a7d51324ce85bbc628c39dd386b3a
PEO_unit.xyz
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Co-Ordinate Animation - 1.1 KB - MD5: 3e8d5e7c5af17337a7e0cf29e0ed8dec
PE_unit.chg
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 432 B - MD5: 7591847bbdc6fc9fe3ee2eb302faa497
PE_unit.xyz
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Co-Ordinate Animation - 429 B - MD5: 0c7e64de85862d550f286876b15c7580
PE_unit.xyz
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Co-Ordinate Animation - 429 B - MD5: 0c7e64de85862d550f286876b15c7580
pr2.cpt
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
application/mac-compactpro - 15.7 KB - MD5: 9bbf84f17d7bfa4ea719f2106b34bc8a
pr2.edr
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 212.1 KB - MD5: 355de169ee1227c2547679762fc5aa84
pr2.gro
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 41.1 KB - MD5: 51737e07082a1c96fe5cce20b7f4f7d2
pr2.log
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Plain Text - 275.5 KB - MD5: 98f3ad1207e9982189fba74620c04670
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