Alberto Striolo. University of Oklahoma School of Chemical, Biological and Material Engineering
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1 Alberto Striolo University of Oklahoma School of Chemical, Biological and Material Engineering Oklahoma EPSCoR Video-Conference February 16 th, 2011
2 Group Members Naga Rajesh Tummala (Ph.D. 2010) Brian Morrow (Ph.D. 2010) Camille Gutig (MS. 2007) Dimitrios Argyris (Ph.D. 2010) Deepthi Konatham Shi Liu Tuan A. Ho Heng Fan Raja Kirthi Kalluri Hugo Fernandez Minmin Hu Ramya Parthasarathi Anh T. Phan Financial Support Vice President for OU, Oklahoma State Regents for Higher Education, US DoE, US NSF, NSF EPSCoR, ACS PRF, US DoD, DuPont, IASR Industrial Partners, Oklahoma Center for the Advancement of Science and Technology (OCAST) OSCER, NERSC (high-end computing resources) Undergraduates/Visitors Suwimol Wongsakulphasatch Manuel Ghezzi Andrea Dal Cin Massimo Riello Paolo Soldà Chong Liang Leann Johnson Peter Luo John R. Thompson Manaswee Suttipong Collaborators Paul Ashby (LBNL) David R. Cole (OSU - ORNL)
3 OU Molecular Science and Engineering Team Minmin Hu Catalyst Design for Selective Hydrogenation Reactions Ramya Parthassarathi and Hugo Fernandez Carbon Nanotube Membrane Interactions (Experiments and Simulations) Dimitrios Argyris, Tuan A. Ho, Raja Kirthi Kalluri, Anh T. Phan Interfacial Aqueous Solutions (e.g., Electric Double-Layer Capacitors) Heng Fan Pickering Emulsions for Bio-Oil Upgrade Liu Shi, Manaswee Suttipong (and Grady s and Resasco s groups) Experiments and Simulations for Surfactants Self-Assembly (Carbon Nanotubes) Liu Shi Lubrication in Cartilage (Healthy vs. Damaged) Deepthi Konatham Graphene Sheets Based Nanocomposites
4 Bio-oil Upgrade: Introduction 1 st generation: corn ethanol 2 nd generation: cellulosic ethanol 3 rd generation of Bio fuel Fast Sustainable Fungible
5 Introduction: Our Group s Efforts A C B
6 Part 1: Catalyst Design Aims: 1. Determine how a solid support affects catalytic activity 2. Deploy ab initio density functional theory to study selective hydrogenation reactions This work is supported primarily by the Department of Energy, via the Carbon Nanotube Technology Center CANTEC directed by Dr. Resasco
7 Catalyst Design: Results 1 We can monitor mobility and diffusion mechanisms for the nanoparticles
8 Catalyst Design: Results 2 For Au-Pt nanoparticles we can monitor how the support [graphite, (10,10), (13,13), and (20,20) SWNT bundles] determine the atomic distribution
9 Catalyst Design: Results 3 By changing the nanoparticle composition (from 75% Pt 25% Au to 25% Pt 75% Au) and by changing the carbon-nanotube support (graphite vs. bundles) we can affect the number of Pt atoms on the particles surface, and their coordination state.
10 Catalyst Design: Results 4 We can study the effect of local composition on catalytic properties, starting with CO adsorption
11 Catalyst Design: Results 5
12 Catalyst Design: Results 6 By studying the electrostatic potential we identify the electron density, and the adsorption mechanism
13 Catalyst Design: Publications B.H. Morrow and A. Striolo, Morphology and Diffusion Mechanism of Platinum Nanoparticles Supported on Carbon Nanotube Bundles, Journal of Physical Chemistry C, 111 (2007) B.H. Morrow and A. Striolo, Platinum Nanoparticles on Carbonaceous Materials: Effect of Support Geometry on Nanoparticle Mobility, Morphology, and Melting, Nanotechnology, 19 (2008) B.H. Morrow and A. Striolo, Assessing How Metal-Carbon Interactions Affect the Structure of Supported Platinum Nanoparticles, Molecular Simulation 35 (2009) B.H. Morrow and A. Striolo, Supported Bimetallic Pt-Au Nanoparticles: Structural Features Predicted by Molecular Dynamics Simulations, Physical Review B 81 (2010) B.H. Morrow, D.E. Resasco, A. Striolo, M. Buongiorno Nardelli, CO Adsorption on Noble Metal Clusters: Local-Environment Effects, Journal of Physical Chemistry C (2011) submitted. A proposal has been submitted in 2010 to the ACS Petroleum Research Fund to investigate selective hydrogenation reactions, continuing this line of work.
14 Part 2: Emulsion Stabilization Aims: 1. Learn to tailor the emulsions properties by designing solid surfaceactive nanoparticles 2. Avoid the use of expensive carbon nanotubes 3. Understand how complex, oxygen rich compounds (phenols, carboxylic acids, ethers, furans, etc.) affect the emulsions, and transfer across the oilwater interface Crossley et al., Science 327, 2010, 68. Shen and Resasco, Langmuir 25, 2009, This work is supported by the National Science Foundation, both via the EPSCoR award, and via one single-investigator grant awarded in 2010.
15 Emulsion Stabilization: Details 1 Homogeneous Nanoparticles: Simulated System: Janus Nanoparticles:
16 Emulsion Stabilization: Results 1 c Water Oil K 350K o/w 100 JP-3 HP-2 w/o c (degree) θ C JP-2 JP-1 HP-3 HP Ratio of CH 3 group
17 Emulsion Stabilization: Results 2 When a nanoparticle is pulled into decane, a water bridge often forms Desorption to water is always easier than to oil, possibly because of the nanoparticle features (e.g., CH 3 hydrophobic groups)
18 Emulsion Stabilization: Results 3 For all nanoparticles, rotation is easier parallel to the decane-water interface
19 Emulsion Stabilization: Results 4 Both water and decane form dense layers near the nanoparticles We can estimate how long the fluids interact with the nanoparticles
20 Emulsion Stabilization: Details 2 One nanoparticle is not enough! We need to know: How the nanoparticles pack on the interface What s the effect of nanoparticle-nanoparticle interaction on stability of particles on the interface Coarse grained (CG) models to simulate many NPs Dissipative Particle Dynamics (DPD) simulations
21 Emulsion Stabilization: Details 3 Relating to reality 30 Å 3 x Å Å 3 We choose ρ=3. 3 (3 beads in 1 R c )
22 Emulsion Stabilization: Details 4 Parameterization from atomistic data 192 beads R=2R c =1.53 nm R. H. Hardin, N. J. A. Sloane and W. D. Smith, Tables of spherical codes with icosahedral symmetry, published electronically at
23 Emulsion Stabilization: Details 5 Top view water 80 R C oil 100 NPs 211,516 beads in total Oil phase thickness: 40 R c Simulation time: 4,000,000 steps (15 ) s 30 R C water
24 Emulsion Stabilization: Results 6 Contact angles: Upper IF Lower IF 0.25HP 0.25JP 0.75HP 0.75JP 0.5JP 0.5HP No. of NPs Con. Angle No. of NPs Con. Angle NPs, 10 M steps (30 s) Contact angle results could be used to compare CG simulations to all-atom ones
25 Emulsion Stabilization: Results 7 int water oil int water A B C D
26 Emulsion Stabilization: Results 8 Nanoparticle partitioning: 0.25HP 0.25JP 0.75HP 0.75JP 0.5JP 0.5HP Upper IF Lower IF Bulk Water Bulk Oil NPs, 10 M steps (30 s)
27 Emulsion Stabilization: Publications H. Fen, D.E. Resasco, A. Striolo, Amphiphilic Silica Nanoparticles at the Water-Decane Interface: Insights from Atomistic Simulations, Langmuir (2011) submitted. A proposal has been awarded in 2010 from the National Science Foundation to continue this project.
28 More Things to Investigate 1. Transport of compounds across nanoparticle-loaded interfaces 2. Effect of length of hydrophobic moieties on silica nanoparticles at interfaces 3. Effect of oxygenated compounds and/or surfactants on silica nanoparticles at interfaces 4. Phase diagrams of nanoparticles partition between oil/water/interface 5. Structure of nanoparticles at the oil-water interfaces 6. Effect of nanoparticle shape 7. Coalescence of droplets in emulsions
29 Questions?
Alberto Striolo. Page 1 of 15. Education
Alberto Striolo Office: Chemical Biological and Materials Engineering Sarkeys Energy Center Room T-235 Norman, OK 73019 Phone: 1 405 325 5716 Fax: 1 405 325 5813 Email: astriolo@ou.edu Home: 1201 Ann Arbor
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