[原分所] IAMS Lecture Announcement-01/03(Thu.) Prof. Tzu-Ming Liu 劉子銘教授 ; 01/07(Mon.) Prof. Vincent C. Tung
截止日期：2013-01-03
IAMS Lecture Announcement 中研院原分所演講公告
Title: Diagnose Cancer with Porphyrin Metabolomics
Speaker: Prof. Tzu-Ming Liu ( Inst. of Biomedical Engineering, National Taiwan Univ.)劉子銘助理教授 (臺灣大學醫學工程學研究所)
Time: 3:30PM, January 3 (Thursday)
Place: Dr. Poe Lecture Hall, IAMS (本所浦大邦講堂 臺大校園內)
Contact: Dr. Kaito Takahashi 高橋開人博士
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Title: Dimensional Transition of Soft Sheets: All-Carbon Photovoltaics
Speaker: Prof. Vincent C. Tung ( Dept. of Materials Science and Engineering, Univ. of California, USA )
Time: 2:00-3:30PM, January 7 (Monday)
Place: CT Chang Memorial Hall, IAMS (本所張昭鼎紀念講堂 臺大校園內)
Contact: Dr. Lain-Jong Li 李連忠博士
Abstract:
All-carbon based photovoltaics comprised of n-type fullerenes and p-type single walled carbon nanotubes (SWCNTs) are tantalizing candidates for light harvesting and storage because of their advantageous carrier transport properties and improved mechanical/chemical stability. However, fullerenes tend to slip away from the graphitic basal plane due to the weak van der Waals force between dissimilar graphitic allotropes. Here, we report that the stability of these structures can be enhanced by “wrapping” them with “shaped” graphene nanoribbons produced from unzipped multi-walled carbon nanotubes. By judiciously controlling the geometries of the nanoribbons, various wrapping behaviors are observed and found to exhibit a photoconductive response. To rationally guide the synthesis and practically improve the overall photovoltaic performance, we have developed molecular dynamic simulations of C60-coated, graphene nanoribbon-wrapped carbon nanotubes that enable us to construct a predictive model to systematically explore the interplay between nanoribbon morphology and wrapping behavior. Theoretical modeling shows that the competition between the van der Waals and bending energies of graphene nanoribbons has profound implications on the wrapping direction and morphology of the final assembly, thus forming a tight feedback loop where device performance is optimized by improving assembly strategy and material control.
Title: Diagnose Cancer with Porphyrin Metabolomics
Speaker: Prof. Tzu-Ming Liu ( Inst. of Biomedical Engineering, National Taiwan Univ.)劉子銘助理教授 (臺灣大學醫學工程學研究所)
Time: 3:30PM, January 3 (Thursday)
Place: Dr. Poe Lecture Hall, IAMS (本所浦大邦講堂 臺大校園內)
Contact: Dr. Kaito Takahashi 高橋開人博士
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Title: Dimensional Transition of Soft Sheets: All-Carbon Photovoltaics
Speaker: Prof. Vincent C. Tung ( Dept. of Materials Science and Engineering, Univ. of California, USA )
Time: 2:00-3:30PM, January 7 (Monday)
Place: CT Chang Memorial Hall, IAMS (本所張昭鼎紀念講堂 臺大校園內)
Contact: Dr. Lain-Jong Li 李連忠博士
Abstract:
All-carbon based photovoltaics comprised of n-type fullerenes and p-type single walled carbon nanotubes (SWCNTs) are tantalizing candidates for light harvesting and storage because of their advantageous carrier transport properties and improved mechanical/chemical stability. However, fullerenes tend to slip away from the graphitic basal plane due to the weak van der Waals force between dissimilar graphitic allotropes. Here, we report that the stability of these structures can be enhanced by “wrapping” them with “shaped” graphene nanoribbons produced from unzipped multi-walled carbon nanotubes. By judiciously controlling the geometries of the nanoribbons, various wrapping behaviors are observed and found to exhibit a photoconductive response. To rationally guide the synthesis and practically improve the overall photovoltaic performance, we have developed molecular dynamic simulations of C60-coated, graphene nanoribbon-wrapped carbon nanotubes that enable us to construct a predictive model to systematically explore the interplay between nanoribbon morphology and wrapping behavior. Theoretical modeling shows that the competition between the van der Waals and bending energies of graphene nanoribbons has profound implications on the wrapping direction and morphology of the final assembly, thus forming a tight feedback loop where device performance is optimized by improving assembly strategy and material control.