1,906 research outputs found

    Tutorial: Determination of Thermal Boundary Resistance by Molecular Dynamics Simulations

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    Due to the High Surface-To-Volume Ratio of Nanostructured Components in Microelectronics and Other Advanced Devices, the Thermal Resistance at Material Interfaces Can Strongly Affect the overall Thermal Behavior in These Devices. Therefore, the Thermal Boundary Resistance, R, Must Be Taken into Account in the Thermal Analysis of Nanoscale Structures and Devices. This Article is a Tutorial on the Determination of R and the Analysis of Interfacial Thermal Transport Via Molecular Dynamics (MD) Simulations. in Addition to Reviewing the Commonly Used Equilibrium and Non-Equilibrium MD Models for the Determination of R, We Also Discuss Several MD Simulation Methods Which Can Be Used to Understand Interfacial Thermal Transport Behavior. to Illustrate How These MD Models Work for Various Interfaces, We Will Show Several Examples of MD Simulation Results on Thermal Transport Across Solid-Solid, Solid-Liquid, and Solid-Gas Interfaces. the Advantages and Drawbacks of a Few Other MD Models Such as Approach-To-Equilibrium MD and First-Principles MD Are Also Discussed

    Detecting Majorana fermions by nonlocal entanglement between quantum dots

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    Nonlocal entanglement between two quantum dots can be generated through Majorana fermions. The two Majorana fermions at the ends of an one-dimensional topological superconductor form a nonlocal fermion level, coupling to the occupation states of two quantum dots put close to the two ends, and the entire system will come into an entangled state. After introducing a charging energy by a capacitor, entanglement of the entire system can manifest itself through the nonlocal entanglement between the two quantum dots. That is, when measuring the electron occupations of the quantum dots, the measurement result of one quantum dot will influence the measurement result of the other quantum dot. This nonlocal entanglement between the two quantum dots is a strong evidence of the nonlocal nature of the fermion level constructed by two Majorana fermions.Comment: 4 pages, 4 figure

    Designing Software to Locate Differences in the Shrimp Genome

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    In order to determine where important differences in the genomic sequence of Pacific White Shrimp occur, many copies each of multiple regions of DNA sequence are needed. Then similar sequences can be aligned so that almost all of the bases are identical between the sequences and differences are easy to notice. One of the major issues with predicting single base position differences (SNPs) in this manner is that DNA sequencing techniques are not 100% consistent in most cases. Consequently, it needs to be determined whether a particular base is different because the true genetic sequence is variable at that position or because the sequencing process resulted in the base position being incorrectly called. SNPidentifier is a newly developed computer program that takes into account the unreliability of sequence data and tries to use only the more reliable sequences to predict where true SNPs are located. The goal of locating SNPs in Pacific White Shrimp is to identify base positions that can possibly be used in the future as molecular markers for traits of interest to shrimp breeders

    Developmental progress and current status of the Animal QTLdb

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    The Animal QTL Database (QTLdb; http://www.animalgenome.org/QTLdb) has undergone dramatic growth in recent years in terms of new data curated, data downloads and new functions and tools. We have focused our development efforts to cope with challenges arising from rapid growth of newly published data and end users’ data demands, and to optimize data retrieval and analysis to facilitate users’ research. Evidenced by the 27 releases in the past 11 years, the growth of the QTLdb has been phenomenal. Here we report our recent progress which is highlighted by addition of one new species, four new data types, four new user tools, a new API tool set, numerous new functions and capabilities added to the curator tool set, expansion of our data alliance partners and more than 20 other improvements. In this paper we present a summary of our progress to date and an outlook regarding future directions

    AnimalQTLdb: a livestock QTL database tool set for positional QTL information mining and beyond

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    The Animal Quantitative Trait Loci (QTL) database (AnimalQTLdb) is designed to house all publicly available QTL data on livestock animal species from which researchers can easily locate and compare QTL within species. The database tools are also added to link the QTL data to other types of genomic information, such as radiation hybrid (RH) maps, finger printed contig (FPC) physical maps, linkage maps and comparative maps to the human genome, etc. Currently, this database contains data on 1287 pig, 630 cattle and 657 chicken QTL, which are dynamically linked to respective RH, FPC and human comparative maps. We plan to apply the tool to other animal species, and add more structural genome information for alignment, in an attempt to aid comparative structural genome studies ()
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