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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51 to 60 of 1,794 Results
PEO2_100.mol2
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 62.1 KB - MD5: c4b92852bd12ca7a1c728379435b0c0c
PEO2.chg
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 31.6 KB - MD5: 5ba30fca26d68af8b712c16bc7f779d0
PEO2.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: b117d076d6ba8383606065afc2d8519e
PEO2.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 - 541.6 KB - MD5: 285b51bf496f964561ddb132c57d223a
PEO2.top
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 395 B - MD5: fae6b65929e7e98faab6d9fca3fb473d
PEO.chg
Oct 31, 2023 - Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Unknown - 31.7 KB - MD5: df2dd4832cbcd11f022ceeae159082ba
PEO.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: cfe50e19351567577a09ee113861fb4d
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
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