Appointment: Associate Professor, School of Material Science & Engineering

Assistant Chair, Graduate Studies and Lifelong Learning

Research topics:

• developing high sensitive substrates for surface-enhanced Raman scattering and fluorescence

• optical properties of metal-semiconductor nanostructures

• assembly of metallic nanostructures

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41 to 50 of 1,794 Results
mix.top
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 381 B - MD5: 30f6d5078eb20b578cc3e16080d4e03f
PE_100_680.top
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 344 B - MD5: 13428fe01250c66f1ea55e10ba14a5cd
PE_100.chg
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 16.1 KB - MD5: 3b88fcab1018cc89bcbd0cfa5bf37f7f
PE_100.gro
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 27.1 KB - MD5: ca22284c3bc98e913e7b92dabe7c9c9a
PE_100.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 - 546.6 KB - MD5: f9b59ed08c7ec1a5085ded3de5def65b
PE_100.mol2
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 41.6 KB - MD5: 351949194bd26085c139adbb9e9a58a2
PE_100.top
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 393 B - MD5: 920a6427f48f3cb57c566de2dcc6d308
PE_100.xyz
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Co-Ordinate Animation - 29.4 KB - MD5: 24a2af384d6991b14b057c7f87b9e152
PEO_100.mol2
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 61.1 KB - MD5: 5fb763ee87f9215401ee62bd884d50e9
PEO_100.xyz
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Co-Ordinate Animation - 29.4 KB - MD5: efaea52ec254ddd21acd0d13d1a8ac5a
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