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2,151 to 2,160 of 8,076 Results
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
pr2.tpr
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 168.7 KB - MD5: c4d2ae73a860e68aff68f4a5ff8964fc
pr2.xtc
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 496.6 KB - MD5: 77f531daf54b5af5fd8c5d54af84e66e
pr_all.cpt
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
application/mac-compactpro - 9.4 MB - MD5: 91cc6a8b196789301351d2fefb7bc2e0
pr_all.cpt
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
application/mac-compactpro - 4.3 MB - MD5: 2bccc2dcd423a55fc96bfbfc5052371e
pr_all.edr
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 207.4 KB - MD5: af08413803b0911235e9853485a08c76
pr_all.edr
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 2.1 MB - MD5: 3adca7ebc8db212de40723eaa0817948
pr_all.gro
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 27.3 MB - MD5: f36d8f4f477d4f51a8d64773f558a609
pr_all.gro
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 12.7 MB - MD5: bf78f61cf10ed58c2f1083cd14b7799e
pr_all.log
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Plain Text - 2.5 MB - MD5: 043d8fef5c5e6b9e0b9f3845b261c8a7
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