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The unique electronic and transport properties make the graphene material a subject of great interest for electronic device applications,.The novel properties of graphene originate from the linear energy dispersion at the two nonequivalent Dirac points, called K and K ′ valleys, where the conductance band conically contacting the valence band. Then double click the Chimera application to start. The X server is not installed in Mac OS 10.3 by default and if you do not have it you can download it from the Apple web site. It is necessary for running Chimera on the Mac. NB: Chimera for Mac OS X now uses the native. Avizo (pronounce: ‘a-VEE-zo') is a general-purpose commercial software application for scientific and industrial data visualization and analysis. Avizo is developed by Thermo Fisher Scientific and was originally designed and developed by the Visualization and Data Analysis Group at Zuse Institute Berlin (ZIB) under the name Amira.Avizo was commercially released in November 2007.

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Mechanical Engineering Faculty Research

Document Type

Dissertation

Publication Date

2013

Abstract

Nanotribology is a research field to study friction, adhesion, wear and lubrication occurred between two sliding interfaces at nano scale. This study is motivated by the demanding need of miniaturization mechanical components in Micro Electro Mechanical Systems (MEMS), improvement of durability in magnetic storage system, and other industrial applications. Overcoming tribological failure and finding ways to control friction at small scale have become keys to commercialize MEMS with sliding components as well as to stimulate the technological innovation associated with the development of MEMS. In addition to the industrial applications, such research is also scientifically fascinating because it opens a door to understand macroscopic friction from the most bottom atomic level, and therefore serves as a bridge between science and engineering. This thesis focuses on solid/solid atomic friction and its associated energy dissipation through theoretical analysis, atomistic simulation, transition state theory, and close collaboration with experimentalists. Reduced-order models have many advantages for its simplification and capacity to simulating long-time event. We will apply Prandtl-Tomlinson models and their extensions to interpret dry atomic-scale friction. We begin with the fundamental equations and build on them step-by-step from the simple quasistatic one-spring, one-mass model for predicting transitions between friction regimes to the two-dimensional and multi-atom models for describing the effect of contact area. Theoretical analysis, numerical implementation, and predicted physical phenomena are all discussed. In the process, we demonstrate the significant potential for this approach to yield new fundamental understanding of atomic-scale friction. Atomistic modeling can never be overemphasized in the investigation of atomic friction, in which each single atom could play a significant role, but is hard to be captured experimentally. In atomic friction, the interesting physical process is buried between the two contact interfaces, thus makes a direct measurement more difficult. Atomistic simulation is able to simulate the process with the dynamic information of each single atom, and therefore provides valuable interpretations for experiments. In this, we will systematically to apply Molecular Dynamics (MD) simulation to optimally model the Atomic Force Microscopy (AFM) measurement of atomic friction. Furthermore, we also employed molecular dynamics simulation to correlate the atomic dynamics with the friction behavior observed in experiments. For instance, ParRep dynamics (an accelerated molecular dynamic technique) is introduced to investigate velocity dependence of atomic friction; we also employ MD simulation to 'see' how the reconstruction of gold surface modulates the friction, and the friction enhancement mechanism at a graphite step edge. Atomic stick-slip friction can be treated as a rate process. Instead of running a direction simulation of the process, we can apply transition state theory to predict its property. We will have a rigorous derivation of velocity and temperature dependence of friction based on the Prandtl-Tomlinson model as well as transition theory. A more accurate relation to prediction velocity and temperature dependence is obtained. Furthermore, we have included instrumental noise inherent in AFM measurement to interpret two discoveries in experiments, suppression of friction at low temperature and the attempt frequency discrepancy between AFM measurement and theoretical prediction. We also discuss the possibility to treat wear as a rate process.

Publication Title

ProQuest Dissertations and Theses

Volume

74-04(E)

Issue

B

First Page

Atomic Reconstruction (itch) Mac Os 11

209

Recommended Citation

Dong, Yalin, 'Physically Representative Atomistic Modeling of Atomic-scale Friction' (2013). Mechanical Engineering Faculty Research. 804.
https://ideaexchange.uakron.edu/mechanical_ideas/804

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A downloadable game for Windows, macOS, and Linux

Atomic Reconstruction is a atmospheric Puzzle game, where you have to use the power of fusion and fission to create and modify specific atoms or groups of atoms.

Experience 33 unique challenges in the atmospheric world of chemistry.

The game features a online highscore.

Purchase

In order to download this game you must purchase it at or above the minimum price of $1.99 USD. Your purchase comes with a Steam key. You will get access to the following files:

Log in with itch.io to leave a comment.

I'm really digging this game so far, but I'm a little confused by #22: I've got my Hg, i've got an H, but, uh.now what? How do I complete the puzzle? Astrofloat mac os.

Tthe mechanic for this is to get them both into one cell as a compound.

There is not really a tutorial for that mechanic (sorry about that) so here is a short explanation on how to get that:

You need a total mass of 202 (201 for Hg, 1 for H) in a single cell. You can get that by stacking a certain number of lighter materials on top of each other, these all need to be the same element. When you have that you can fuse them together and get the HG-H compound.

A example would be to use 202 H, stack them all together and then fuse once. This is obviously not a good solution since it requires tons of steps but I dont want to give away the optimal way ;)

Aaah, I understand. Neat. Guess I'll see if I can figure out that optimal solution :D

Is there a logic to how I can combine cells together, or do I just need to learn them?

If the mass of the 2 is equal to the mass of another element it is possible to combine them.

Atomic Reconstruction (itch) Mac Os Pro

If the 2 cells are equal you can stack them ontop of each other. Dreamers lullaby mac os.

Atomic Reconstruction (itch) Mac Os Catalina

No but I am considdering a map editor for quite some time now.