RESEARCH ON THE MOLECULAR STRUCTURES AND

NANOSTRUCTURES OF MATERIALS AND THEIR APPLICATIONS


Lloyd L. Lee

OVERVIEW

EXAMPLES OF NANOSCALE RESEARCH

Figure 1. Dendrimers as nanosensors. Figure 2. Water flows past a single carbon nanotube* (CNT). Figure 3. Heat Conduction through a "Model" CNT Composites.





TOPICS OF CURRENT INTEREST (Click on the navigation buttons):

Nanosensors--Dendrimers    Drag Reduction on Hydrophobic Surfaces    Nanocomposites    Nanopores

Absorption Refrigeration    Acid Gas Treating    Supercritical Fluid Solubility

Figure 4. A Monte Carlo simulation box with a 4th generation dendrimer (PAMAM) and two gas species A (purple molecules) and B (green molecules). The end groups are enlarged indicating chemical functionalization (to increase affinity d, i.e., selective detection of the analyte gas B). About 4000 gas molecules are used.

Figure 5. The dendrimer end group density rEG as a function of the strength of affinity d. d augments the Berthelot combining rule for the interaction energy e between the gas (B) and the dendrimer (D). For small values of d =0, the end groups are closer to the core: i.e. the dense-core behavior (peaks at small r-distances: r measures the core-to-periphery separation). The larger the values d are, the more the end groups are "stretched" towards longer distances. This causes the dendrimer to "swell"-- approaching the dense-shell structure. There is a gradual transition from the dense-core to the dense-shell structure, depending on the strength of the solvent. "Good" solvents relax the dendrimers (thus approaching the dense shell).



Figure 6. Excess adsorption number Nex in statistical mechanics is employed to quantify the "loading" or "detection capacity" of the dendrimer surfaces (the coronas) in adsorbing the analyte gas B molecules. As the affinity d (the strength of attraction of the corona towards B) is increased (from, 1 2, to 3), the Nex values (the peaks) are increased (values > 1) near r ~ Rg (~10 to 12 s ) i.e., the radius of gyration of the dendrimer in solution.

Figure 7. Effective "colloidal" potentials Ueff as obtained from Monte Carlo simulation for the small gas molecules (A & B) surrounding the large dendrimer molecule (D) (about 10 times the diameter s of the gas molecule). Since the B gas molecules are made to attract more to the corona (surface moieties) of the dendrimer (i.e., affinity d, in this case d=2), there is a "deeper valley" for Ueff of B-dendrimer interaction (green squares, the "analyte" gas) than that of the A-dendrimer interaction (the brown squares for the "placebo" gas). The broad depths of the Ueff are at longer distances close to the radius of gyration of the dendrimer. The top curve (orange color) is the singlet density rEG distribution of the end groups of a single dendrimer as the gas B is "tugging" them at the surface. There is clearly inflation of the size of the dendrimer in strong solvents.

Figure 8. The radial distribution functions g(r) as obtained from Monte Carlo simulation (symbols) and from the theory: the Ornstein-Zernike integral equations (lines). Close agreement is obtained upon using a self-consistent closure (closure that satisfies thermodynamic consistencies as well as the pointwise zero-separation theorem consistencies).

(Work supported by the National Science Foundation**)

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Figure 9. Banks of carbon nanotubes on substrate (SEM: Choi 2001).

Figure 10. Nonequilibrium molecular dyanmics (NEMD) simulation* for Couette flow of water molecules confined between two flat plates. The upper plate moves with a velocity U.

Figure 11. Water molecules flowing past array of carbon nanotubes.*

Figure 12. Temperature drops across the interfaces of solid slabs in contact due to the Kapitza thermal boundary resistance. X-axis is the direction of heat flow.

Figure 13. Liquid (octane) surrounding a carbon nanotube in a NEMD simulation of Kapitza resistance. (Keblinski 2004).

Figure 14. Definition of the Kapitza length, LK, at the interface of Solid 1 and Solid 2. dT is the temperature drop at the interface (due to Kapitza resistance). The dashes are hypothetically extended length (from Solid 1) of the temperature slope, according to Fourier's law: q = - k dT/dz.

(Work supported by the National Science Foundation** and the Oklahoma Nanonet)

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Figure 15. Top: The ball-and-chain structure of aerogels (diffusion limited cluster aggreation, DLCA). Bottom: Gas moelcules invade the interior of the aerogels.

Figure 16. Gas mixture (nonadditive hard spheres: red and blue spheres) inside an quenched equilibrated hard sphere matrix (grey spheres) (very different from DLCA), the simplest mixture that exhibits phase separation. This is an idealized model of inclusion gas in porous matrices.

Figure 17. Chemical potentials determined via grand-canonical Monte Carlo simulation (plus cavity-biased method of Mezei) and integral equations (replica Ornstein-Zernike: ZSEP) for the model of Figure 16. Non-additivity = 0.2.

Figure 18. Liquid-liquid phase envelope for nonadditive hard sphere mixtures in pores. The lower crtitical consolution density for this case r = 0.33 (cf. the bulk value r = 0.415 for the same mixture with no confinement).

Figure 19. The pair correlation functions for gas-gas g22 (left panel), and gas-matrix g20 (right panel) pairs as obtained from simulation and from three different theories (Percus-Yevick PY, Martynov-Sakisov MS, and ZSEP self-consistent closures). The ZSEP closure is highly accurate compared to the alternatives.

Figure 20. Explanation of the ZSEP closure. The bridge function B(r) is expressed as a function of the "renormalized" indirect correlation (g*(r) = h(r)-C(r)+ buref(r)). The parameters a, f, and z are adjustable parameters that are "modulated" to satisfy the thermodynamic conditions plus the pointwise zero-separation theorems and contact value theorems).

(Work supported by the National Science Foundation**)

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Figure 21. Trane Absorption Chiller (height ~ 10ft).

Figure 22. Absorption Chiller Flow Sheet


Figure 23. The GUI Interface in the "AbsCycle" software for a Single-effect Lithium Bromide-Water Chiller


(Work supported by the Gas Research Institute)

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Figure 24. Amine Treating Flow Sheet.

Figure 25. Natural Gas Sweetening Plant.

Figure 26. Bubble: the Vapor-Liquid Interface and Chemical Reactions on a Sieved Tray. (The detailed mechanism of absorption of the CO2 and H2S gas).

Figure 27. The Computing Package "ElecGC"--Electrolyte Group Contribution Theory Applied to Gas Treating. It funishes robust and accurate calculations for the vapor pressure-loading, heat of absorption, hydrocarbon solubility and speciation values.

Figure 28. Speciation During Treating CO2 with DEA (Diethanolamine). The formation of the carbamate ions is in tandem with the bicarbonate ions.

Figure 29. The GUI (garphics users interface) for the AGAS software developed for calculating the vapor-liquid thermodynamics in acid gas treating.

Figure 30. The output from the software AGAS, giving the loading and vapor pressures, in this case for MDEA amine solution absorbing CO2.

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(Work supported by the Gas Processors Association and the Gas Research Institute**)

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  • Supercritical Fluids: Solvent-Solute Molecular Structures and Solubility
  • Rationale: The solubility enhancement in supercritical solvents is due to the change of the molecular structures of solvent molecules around the solute molecules (clustering or charisma). We apply the integral equations of the liquid state theory to uncover the underlying molecular mechanism.

    Supercritical solvents have contributed to the environmentally benign manufacturing because of their “cleanliness” (solvents such as CO2 or water), their high solvent power, and operating at lower temperatures than is usually done. Thus these fluids have been used in nicotine removal in tobacco, extraction of pharmaceutical products, coffee decaffeination, and the clean reactions and laundry-cleaning industries. The molecular structures of supercritical solvents around a solute molecule is described using the liquid-state integral equation theories. We found that the augmentation in the long-ranged behavior of the pair correlation function, guv(r), is at the root of the "clustering" phenomenon that gives rise to the solubility enhancement. We further derived the influence through the Kirkwood-Buff factors on the chemical potentials and partial molar volumes. The molecular mechanisms of supercritical solubility enhancement are elucidated.

    Publications:

  • H.D. Cochran, L.L. Lee, and D.M. Pfund, Application of the Kirkwood-Buff theory of solutions to dilute supercritical mixtures, Fluid Phase Equilibria 34, 219 (1987).
  • H.D. Cochran and L.L. Lee, General behavior of dilute binary solutions, AIChE Journal 33, 1391 (1987).
  • L.L. Lee, Application of the zero-separation theorems of molecular correlation functions to the chemical potentials in supercritical mixtures, Proceedings of the Société Française de Chimie, International Symposium on Supercritical Fluids, Tome 1, pp.207-215, Nice, France (1988).
  • H.D. Cochran and L.L. Lee, Solvation structure in supercritical fluid mixtures based on molecular distribution functions, Chapter 3 in “Supercritical Fluid Science and Technology”, edited by K.P. Johnston and J.M.L. Penninger (American Chemical Society Symposium Series 406, Washington D.C., 1989) pp.27-38.
  • L. L. Lee, P.G. Debenedetti, and H.D. Cochran, Fluctuation Theory of Supercritical Solutions, Chapter 4 in Supercritical Fluid Technology, edited by J. F. Ely and T.J. Bruno (Chemical Rubber Company, 1991) pp.193-226
  • J. Zhang, L. L. Lee, J.F. Brennecke, Fluorescence spectroscopy and intergral equation study of preferential solvation in supercritical fluid mixtures, Journal of Physical Chemistry, 99, 9268-9277 (1995).

    (Work supported by the Department of Energy and Oak Ridge National Laboratory)

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    *Courtesy Web of Dr. Koumoutsakos.
    ** This materials is based upon work supported by the National Science Foundation under Grant Numbers: 0114123, 0203481, and 0132543. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necesssarily reflect the views of the National Science Foundation.