Computational Design and Modeling in Nanotechnology

Computational Design and Modeling
in Nanotechnology
Young-Kyun Kwon
Physics and Applied physics
Nanomanufacturing Center of Excellence
University of Massachusetts Lowell
NSF Center of High-rate Nanomanufacturing
What we can do
Fundamentals
¾
¾
¾
Theoretical Prediction
Understanding of
Unknown Phenomena
We investigate:
–
–
–
–
–
Electronic properties
Transport properties
Thermal properties
Mechanical properties
Optical properties
Applications
¾
Device Design
– Memory devices
– Hydrogen storage
– Nanosensors
¾
Modeling & Simulations
– Device modeling
– Detection schemes
– Device response time
Young-Kyun Kwon
“Bucky-Shuttle” Memory Device
[PRL 82, 1470 (1999); US patent # US6,473,351]
Young-Kyun Kwon
Hydrogen Storage
H2 storage
0.2eV
¾
¾
¾
200K
Evaluation of new materials using
Target: 6 Weight
computational
design % of Hydrogen by 2010
H2 production
Fuel cell
C3N4
B2O3
Synthesis and test of predicted
BeB2
materials
0.1eV
BN
BxC1-x
Increase of available surface area
Carbon
by forming nanostructure
100K
[PRB 69,245407 (2004); Solid State Commun. 129, 769 (2004);
PRB 71, 035408 (2005); US Patents #6,672,077; #6,834,508; #6,991,773 ]
Young-Kyun Kwon
Gas Adsorption on NTs: Sensors
Energy [eV]
Gas
Distance [Å]
O2
H2
NH3
NO2
CH4
SO2
O3
CO2
Calc.
[eV]
0.12
0.065
0.25
0.43
0.13
0.4
0.3
0.27
Expt.
[eV]
0.06
0.25
0.4
0.126
Δq[e]
+0.1
+0.01
–0.02
+0.2
+0.3
+0.1
Young-Kyun Kwon