Nanomaterials Nathan Liang Paul Maynard Wei LiSlide 2
What is Nanotechnology? It includes any mechanical advancements on the nanometer scale, typically 0.1 to 100 nm. One nanometer approaches one thousandth of a micrometer or one millionth of a millimeter. It is likewise alluded as tiny innovation.Slide 4
Molecular Nanotechnology The term nanotechnology is frequently utilized conversely with atomic nanotechnology (MNT) MNT incorporates the idea of mechanosynthesis. MNT is an innovation in light of positionally-controlled mechanosynthesis guided by sub-atomic machine frameworks.Slide 5
Nanotechnology in Field of Electronics Miniaturization Device DensitySlide 6
History Richard Feynman 1959, entitled " There\'s Plenty of Room at the Bottom " Manipulate particles and atoms straightforwardly 1/10 th scale machine to assistance to build up the up and coming era of 1/100 th scale machine, et cetera. As things get littler, gravity would turn out to be less critical, surface pressure particle fascination would turn out to be more essential.Slide 7
History Tokyo Science University teacher Norio Taniguchi 1974 to portray the exactness fabricate of materials with nanometre resiliences. K Eric Drexler 1980s the term was reevaluated 1986 book Engines of Creation: The Coming Era of Nanotechnology . He extended the term into Nanosystems: Molecular Machinery, Manufacturing, and ComputationSlide 8
Nanomaterial and Devices Small Scales Extreme Properties NanobotsSlide 9
Self-Assemble Nanodevices construct themselves from the base up. Examining test microscopy Atomic drive magnifying instruments checking burrowing magnifying lens filtering the test over the surface and measuring the present, one can accordingly remake the surface structure of the materialSlide 10
Problems in Nanotechnology how to gather iotas and particles into shrewd materials and working gadgets? Supramolecular science self-collect into bigger structuresSlide 11
Current Nanotechnology Stanford University to a great degree little transistor two nanometers wide and manages electric current through a station that is only one to three nanometers in length ultra-low-controlSlide 12
Intel processors with elements measuring 65 nanometers Gate oxide under 3 nuclear layers thick 20 nanometer transistor Atomic structureSlide 13
Plasmons Waves of electrons going along the surface of metals They have an indistinguishable recurrence and electromagnetic field from light. Their sub-wavelength require less space. With the utilization of plasmons data can be exchanged through chips at an extraordinary speedSlide 14
Nanomaterial demonstrating and reproduction sortsSlide 15
What I will cover Carbon Nanotubes Bio-Nano-Materials Thermoelectric Nanomaterials What is going on at UKSlide 16
Carbon Nanotubes What are they? Carbon atoms adjusted in barrel arrangement Who found them? Specialists at NEC in 1991 What are some of their employments? Tiny wires Extremely little gadgetsSlide 18
Potential vitality Vk = Repulsive compel Va = appealing power Morse potential conditionsSlide 19
Carbon Nanotubes add up to capability of a framework Adds the NB commitment Force of communicationSlide 20
Carbon Nanotubes Leonard – Jones potential with von der Waals connection Geen - Kudo connectionSlide 26
Bio-Nanomaterials What is Bio-Nanomaterials? Putting DNA within carbon nanotubes What can this exploration give us? There are bunches of concoction and natural applicationsSlide 27
Distances after some timeSlide 28
Van der waals engerySlide 29
Radical thickness profilesSlide 30
Thermoelectric Nanomaterials Concepts before displaying can start: ZT = T σ S 2/κ T = temperature σ = electrical conductivity S = Seebeck steady κ = κph +κel K = whole of cross section and electronic commitments Potential crosswise over thermoelectric material Boltzmann transportSlide 31
The Modeling conditionsSlide 32
Thermoelectric NanomaterialsSlide 33
Thermoelectric NanomaterialsSlide 34
Thermoelectric NanomaterialsSlide 35
Nanomaterials at UK Deformation Mechanisms of Nanostructured Materials Synthesis of Nanoporous Ceramics by Engineered Molecular Assembly Carbon Nanotubes Optical-based Nano-Manufacturing The Grand Quest: CMOS High-k Gate Insulators Self-collected metal composite nanostructures Rare-earth Monosulfides: From Bulk Samples to Nanowires Thermionic Emission and Energy Conversion with Quantum Wires Resonance-Coupled Photoconductive DecaySlide 36
Computer Simulation of Fluorinated SurfactantsSlide 37
1. Davis, H. T., Bodet, J. F., Scriven, L. E., Miller, W. G. Material science of Amphiphilic Layers , 1987 , Springer-Verlag, New York Introduction to surfactant and self-get together What is surfactant? What is self-get together? Micelles, mesophasesSlide 38
Introduction to fluorinated surfactants Unique properties presented by the solid electronegativity of fluorine and the proficient protecting of the carbon iotas by fluorine particles Fluorocarbon chain is stiffer , and favors totals with low ebb and flow ( Fig from  ) Advantages over hydrocarbon chains: higher surface action , warm, substance, and organic dormancy, gas dissolving limit, higher hydrophobicity and lipophobicity 2. M. Sprik, U. Rothlisberger and M. L. Klein, Molec. Phys. 1999 97:355 3. K. Wang, G. Karlsson, M. Almgren and T. Asakawa, J. Phys. Chem. B 1999 103:9237 4. E. Fisicaro, A. Ghiozzi, E. Pelizzetti, G. Viscardi and P. L. Quagliotto, J. Coll. Int. Sci. 1996 182:549Slide 39
Motivations for the PC reproduction of fluorinated surfactants Simulations can be dealt with as PC examinations that serve as extras to hypothesis and genuine analyses Experiment is a feasible approach to think about the impact of chain solidness, yet it may be costly to do an efficient study on this theme. PC reproductions may help selecting surfactants for the right sort of mesophase, which gives a rule to test contemplate.Slide 40
Monte Carlo systems for the recreation of surfactant arrangements Off-cross section atomistic reproduction All iotas (or little gathering of molecules, e.g. CH2 ) are expressly spoken to Most communications are incorporated, more sensible, yet difficult to model Can recreates sub-atomic directions on a period size of nanoseconds Can\'t reproduction the self-gathering marvels Off-cross section coarse-grain various particles are assembled together and spoke to in a rearranged way Electrostatic and dihedral point possibilities are normally missing Can mimic process happening on a period size of microseconds, e.g. micelle development Can\'t reenact harmony self-gathering structure at higher focusSlide 41
Monte Carlo methods for the recreation of surfactant arrangements (proceeded with) Lattice coarse-grain supplanting the nonstop space with a discretized cross section of appropriate geometry Electrostatic and intra-sub-atomic possibilities are truant Fast, effective, can mimic process happening on a period size of a couple of hours, e.g. mesophase development Based on Flory-Huggins Theory . Turned out to be fruitful in polymer science for a long time for researching widespread properties of single chains, polymer layers and arrangements and melts Utility of the model is constrainedSlide 42
Choosing the right model for our recreation reason – grid coarse-grain Most tedious part in a MC reenactment is the assessment of bury and intra-sub-atomic possibilities after every trial move The speed of off-cross section models is restricted, on the grounds that It needs to reconsider the potential capacities expressly when compute the vitality change after every move The speed of the reproduction is dictated by the multifaceted nature of the potential capacities Off-cross section can at most mimic the development of a couple of micelles Lattice models are quick, since Atoms (joined iotas) are proceeding onward the cross section, intra and between sub-atomic separation, bond edges are along these lines discretized It\'s conceivable to precalculate the possibilities comparing to certain separation and points and develop look tables When figure the vitality change, just need to gaze upward the tables Can mimic the mesophase arrangement productively Our focused on framework: mesophase development in surfactant arrangementsSlide 43
Larson\'s Lattice Model – representation of the framework Targeted framework: a surfactant arrangement comprises of N A moles water, N B moles oil and N c moles surfactant particles, with altered volume and temperature (authoritative group) Surfactant: utilize H i T j to characterize a direct surfactant comprising of a string of back to back i head units appended to continuous j tail units. Entire framework lives on a N×N×N cubic cross section, intermittent limit conditions are connected Oil and water atoms possess single locales on the grid, and each amphiphile involves a grouping of contiguous or askew nearby destinations (parallel molar volume for every one of the animal varieties) Number of locales possessed by surfactant is, whatever is left of the locales is completely involved by water and oil as indicated by their volume proportionSlide 44
Square-well potential A straightforward 2D cross section with 2 chains, 7 water (dim) and 6 oil (red) particles ( i, j =water, oil, head, tail) Larson\'s Lattice Model – cooperations between species Each site interfaces just with its 8 closest, 9 corner to corner closest, and 9 body-slantingly closest neighbors Essentially, a square well potential is connected Favorable associations are set to be - 1, while unfavorable communications are +1 Total vitality is pairwise added substanceSlide 45
Larson\'s Lattice Model - run of the mill trial moves Pair trade  Exchange of positions of two basic particles Chain crimp  A surfactant portion trades position with its neighbor without breaking the surfactant Chain reptation  One fasten end moves to a neighboring site, and the
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