Simulations of the Energetics, Bonding and Mechanical Properties of Nanostructured Materials
Department of Energy
Atomic simulations and mesoscale continuum models are being used to characterize the structure, stability and mechanical properties of nanostructured metals. Current studies are focussing on the role of trace impurities on the properties of these systems. The results are being compared to experimental studies being carried out by Prof. Koch in our department.
More information:
A.A. Nazarov, D.V. Bachurin, O.A. Shenderova and D.W. Brenner, ‘On the Origin and Energy of Triple Junction Defects due to the Finite Length of Grain Boundaries’, Interface Science 11, 417 (2003). link

New Insights into Current Issues in Nanoindentation from Finite Element/Atomistic Multiscale Modeling
National Science Foundation
Atomistic simulations are being used to determine whether atomic-force microscopy can be used as a nondestructive, nanoscale probe of surface stress distributions, and the production of local work-hardened regions using multiple indentation. Local moduli obtained from load curves during shallow indentation around a nanoscale “trench” in a gold surface were compared to the surface stress distribution calculated directly from the atomistic potential used in the simulation. The calculations predict a strong quantitative relationship between the indentation results and surface stress. Other nanostructures, as well as the influence of the substrate material and tip radius, are currently being explored.

Modeling Studies of the Deposition of AlN
Office of Naval Research
Ab initio calculations together with a free energy model for growth environments are being used to predict the gas-phase composition and optimal temperature for the vapor deposition of AlN crystals. Free energies are calculated for a large number of potential gas-phase species (over 40 for the AlN system) using statistical mechanics with input from quantum chemical calculations on small molecules and clusters. From these calculations, the predominant gas-phase species are identified, and optimal growth temperatures for given experimental conditions are predicted from the minimum in the chemical potential of the vapor. Agreement with experimental growth temperatures is excellent.
More information:
Y. Li and D.W. Brenner, “First Principles Prediction of the Gas-Phase Precursors for AlN Sublimation Growth”, Phys. Rev. Lett. 92, 75503 (2004).link

Theory and Simulation of Nanotube Composites
NASA
Mechanisms of load and heat transfer in nanotubule-polymer composites are being studied as a function of matrix-fiber strength, nanotubule buckling, and functionalization of the nanotubules. Current calculations predict that a small density of crosslinks between a (10,10) nanotube and a polyethylene matrix can increase the efficiency of load transfer by over an order of magnitude without compromising the tensile modulus of the nanotube. Simulations aimed at understanding the thermal properties of these systems for thermal management applications are currently underway.
More information:
S. J. V. Frankland, A. Caglar, D. W. Brenner, and M. Griebel, "Molecular Simulation of the Influence of Chemical Cross-Links on the Shear Strength of Carbon Nanotube-Polymer Interfaces", J. Phys. Chem. B 106, 3046 (2002). link
S.J.V. Frankland. V.M. Harik, G.M. Odegard, D.W. Brenner and T.S. Gates, "The Stress-Strain Behavior of Polymer-Nanotube Composites from Molecular Dynamics Simulation", Composites Sci. and Tech. 63, 1655 (2003).
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Combined Experimental and Theoretical Study of Tribochemistry at the Nanometer Scale with Application to Nano-Mechanical Devices
Department of Energy
This joint experimental and modeling effort is aimed at understanding tribochemical reactions at the nanoscale, specifically the competing roles of enhanced equilibrium rates via surface heating versus non-equilibrium mechano-chemistry under ultra-fast sliding conditions. The experimental effort uses the unique capabilities developed in Professor Krim's laboratory. In the modeling effort, specific reaction mechanisms are being determined for tip-surface sliding conditions using molecular dynamics simulations. This joint effort, the first in which tribochemical modeling and experiment occur on comparable time scales and contact areas, is producing powerful new insights into detailed tribochemistry at the extremely high rates for next-generation nanoscale devices.

Reduced Degree of Freedom Predictive Methods for Control and Design of Interfaces in Nanofeatured Systems: Nanocrystalline Materials, Sensors and Composites
National Science Foundation (NIRT)
New hierarchical materials modeling approaches are being developed that span multiple length and time scales and that couple quantum mechanical methods at the atomic scale to continuum defect modeling at the micron scale and above. These approaches allow for the accurate prediction of processing-structure-property relations from both the atomic to macroscale, and from the macroscale down to the atomic scale. Applications of these methods that are being explored include quantum dots embedded in solids to be used as sensors, and nanostructured materials and nanocomposites for structural applications.

Quantum-Based, Reactive Potentials for Simulating Shock Dynamics of Condensed-Phase Energetic Materials: A Bridge between ab initio Calculations and Experimental Shock Dynamics
Army Research Office (MURI)
A transferable and robust analytic reactive potential for C, H, O and N containing species is being developed to model large-scale atomic-level chemical reactivity in molecular solids. The potential function is based on a bond order formalism that couples bond lengths, energies and force constants. The potentials will be used to help develop safer and more efficient energetic materials.

Atomic Level Modeling of Energy Transfer, Friction, Wear, and Microstructure Evolution at the Rail-Projectile Interface
Office of Naval Research (MURI)
One of the limiting phenomena for the development of railgun technology is wear at the armature/rail interface. We are using a combination of atomic and continuum-level modeling techniques to charactize wear mechanisms at sliding metallic interfaces, in particular the interplay of frictional heating, heat conduction, plasma formation and electromagnetic migration, to explore coatings that can potentially inhibit wear.

Multifunctional Extreme Environment Surfaces: Nanotribology for Air and Space
Air Force Office of Scientific Research (MURI)
This is part of a large experimental-modeling effort that is developing the scientific basis for tribological properties in terms of scale-dependent thermal, chemical, and mechanical processes that is critical for the engineering of advanced materials and coatings with tailor-made properties for aerospace applications. A hierarchy of continuum and atomic modeling is used to explore fundamental friction and wear phenomena, and to explore new materials with unique properties.

Characterizing Friction and Wear Properties of Engineering Materials from Atomic Simulations
Office of Naval Research
We are developing a variety of new modeling tools for linking friction and wear processes over the disparate time and length scales associated with molecular modeling and real-world engineering applications. The modeling tools, which focus on both metals and covalent solids, couple molecular dynamics simulations with grid-based coarse-grain models for surface chemical kinetics, heat transfer, wear and microstructure evolution at sliding interfaces.

Surfactant Self-Assembly on Nano-Structured Surfaces: Multi-Scale Computational Prediction and Design
National Science Foundation (NIRT)
The self-assembly of surface-active molecules from a bulk phase onto solid surfaces is of interest in fields ranging from biology to materials to electronic devices. We are developing coarse-graining procedures to bridge the electronic-atomistic and atomistic-mesoscale levels of description of aqueous surfactant solutions, and using these to construct a multi-scale theory/simulation scheme to predict self-assembly on nano-structured surfaces.

Nanofluidics and Smart Materials
NASA
Atomic simulations and continuum calculations based on the Brinkman equation are being used to explore fluid flow through smart materials consisting of polymer chains grafted to the inside of a nanopore. In these sytems the swelling of the chains, and hence the pore size, is influenced by effects such as the solvent quality with respect to the chains, the temperature, and flow rate. Our calculations have shown that the continuum Brinkman equation for flow through porous media can be used for these systems provided that the correct correction length ("blob" size) is taken into account. This model has been able to qualitatively describe epxerimental measurements of changes in water permeation with pH through nanoporousglass within which polyglutamic acid chains are grafted. These calculations are opening new possibilities for optimizing smart fluid control systems for applications such as drug delivery, bioremedation,remote analysis and self-assembly.
More information:
S.P. Adiga and D.W. Brenner, "Virtual Molecular Design of an Environment-Responsive Nanoporous System", Nano-letters 2, 567 (2002).
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Multiscale Modeling of Polycrystalline Ceramics
Office of Naval Research
A multiscale modeling approach has been developed in which energies from first-principles calculations on key structures are combined with a mesoscopic analytic model based on disclination theory. This is intended to bridge the gap between atomistic models using quantum-based first-principle methods and macroscale properties. Calculations on title grain boundaries in diamond have demonstrated accurate energies for planar defects can be obtained. This has led to accurate, first-principles-based predictions of fracture strengths and failure modes in ceramics with realistic microstructures. These studies are currently being expanded to include analytic models describing the mechanical properties of nanocrystalline ceramics.
More information:
O. Shenderova, D.W. Brenner, A. Nazarov, A. Romanov, L. Yang, ` "Multiscale Modeling Approach for Calculating Grain Boundary Energies from First Principles", Phys. Rev. B. 57, R3181(1998). link
A Nazarov, O.A. Shenderova, D.W.Brenner, "On the Disclination-Structural Unit Model of Grain Boundaries’, Mat. Sci. Eng. A 281, 148 (2000). link

Modeling of Nanotube-Based Materials and Devices
Office of Naval Research
The structure and properties of a variety of materials utilizing carbon nanotubules are being predicted using atomic simulation. Raman shifts for hydrogen in nanotube bundles have been predicted and are being used to help identify the position of intercalated hydrogen within these structures. The influence of local structure on the field emitting properties of nanotube mats and novel nanotubule-nanodiamond structures is being evaluated using a novel self-consistent tight binding approach that allows electric fields to be incorporated into electronic structure calculations with very modest computing resources.
More information:
D. Srivastava, D.W. Brenner, J.D. Schall, K.D. Ausman, M.F. Yu and R.S. Ruoff, "Predictions of Enhanced Chemical Reactivity at Regions of Local Conformation Strain on Carbon Nanotubes: Kinky Chemistry", J. Phys. Chem. B 103, 4330 (1999).link
S.J.V. Frankland and D.W. Brenner, "Hydrogen Raman Shifts in Carbon Nanotubes from Molecular Dynamics Simulation", Chem. Phys. Lett. 334, 18 (2001).link
O.A. Shenderova, B.L. Lawson, D. Areshkin and D.W. Brenner, "Predicted Structure and Electronic Properties of Individual Carbon Nanocones and Nanostructures Assembled from Nanocones", Nanotechnology 12, 191 (2001).link
O.A. Shenderova, V. Zhirnov, and D.W. Brenner "Carbon Materials and Nanostructures", Critical Reviews in Solid State and Materials Sciences 32, 347 (2002).link
J. Bernholc, D. Brenner, M. Buongiorno Nardelli, V. Meunier and C. Roland, "Mechanical and Electrical Properties of Nanotubes", Annual Review of Materials Research 32, 347 (2002). link
D.W. Brenner, O.A. Shenderova, D.A. Areshkin, J.D. Schall, "Atomic Modeling of Carbon-Based Nanostructures as a Tool for Developing New Materials and Technologies", Computer Modeling in Engineering and Sciences 3, 643 (2002).link
O.A. Shenderova, D. Areshkin, D.W. Brenner, "Bonding and Stability of Hybrid Diamond/nanotube Structure", Molecular Simulation, 29, 259 (2003).link