Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning

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61 to 70 of 97 Results

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
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

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 -

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 -

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 -

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 -