I encourage you all to go.
Best,
Alan
Alán Aspuru-Guzik | Professor of Chemistry and Chemical Biology
Harvard University | 12 Oxford Street, Room M113 | Cambridge, MA 02138
(617)-384-8188 |
http://aspuru.chem.harvard.edu |
http://about.me/aspuru
On Tue, Jun 7, 2016 at 9:54 AM, Thomas Markovich <thomasmarkovich(a)gmail.com>
wrote:
Hi All,
Sorry for the late notice! We will be hosting Dr Yun from MIT for a
postdoc talk from 130-230 today in the division room. His talk title and
abstract are below.
Hope to see you there!
Best,
Thomas
*Characterizing Carbonaceous Materials through Atomistic Simulation and
Data Mining*
Characterizing and understanding the fundamental chemistry of natural
carbonaceous materials such as kerogen is of great interest to various
research fields including energy production, chemical engineering, and geochemistry.
Particularly, noninvasive characterization method with molecular level
chemistry information is currently still missing. To bridge this gap, we have
developed atomistic simulation and data mining methods that boost the resolution
of conventional noninvasive characterization techniques such as UV/Vis
absorption spectroscopy and Raman spectroscopy to their uncovered
potential. With ensembles of atomic proxy models of carbonaceous
materials, we can now use a multi-scale simulation approach to calculate
and understand the UV/Visible optical property of a carbonaceous material
with specific compositional chemistry. The correlation between the
chemical composition of kerogen and its optical absorption properties
obtained from our ensemble proxy model agrees quantitatively with
experimental measurements.1 We have also developed a genome-inspired
collective fingerprinting approach, which utilizes ab initio calculations
and data mining techniques, to extract molecular level chemistry from the
Raman spectra of heterogeneous carbonaceous materials.2 Molecular
chemistry quantities such as aromatic cluster size distribution,
bridgehead aromatic carbon content, and hydrogen/carbon ratio that would
otherwise be inaccessible from noninvasive characterization techniques
can now be obtained from the identified molecular fingerprints.
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