CMG COLLABORATIVE RESEARCH: Magnetic Viscosity and Thermoremanent Magnetization in Interacting Single-domain Ferromagnets

CMG 合作研究:相互作用单畴铁磁体中的磁粘度和热剩磁化

基本信息

  • 批准号:
    1025564
  • 负责人:
  • 金额:
    $ 14.54万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-09-15 至 2014-08-31
  • 项目状态:
    已结题

项目摘要

Many major hypotheses about the geology of pre-Mesozoic eras rely critically on paleomagnetic data. Magnetic remanence in rocks records the ancient magnetic field and provides information on plate tectonics and the history of the geodynamo. For the remanence to be useful, it must remain stable as the rocks are subjected to temperature increases, pressure, and changes in the chemical environment. Suitable rocks become increasingly rare as their age increases. In pre-Mesozoic rocks, many of the most promising magnetic recorders do not fit the standard model for good paleomagnetic recorders because the magnetic minerals interact with each other through magnetic fields. If these interactions are not properly accounted for, paleomagnetic measurements can be misleading. The effect of interactions is complicated by thermal relaxation of the magnetic moments in which the magnetization jumps over energy barriers between stable states. The greatest challenge facing models of interacting magnets is to find these energy barriers. The object of this proposal is to harness some powerful methods from numerical algebraic geometry to calculate the magnetic effects of particle interactions and thermal fluctuations. The equilibrium equations for interacting magnets can be expressed as systems of polynomial equations. Methods will be developed to find all the stable states and transition states for such systems using homotopy continuation. The time dependence of the magnetization can then be expressed as a set of kinetic equations. There will be three main applications of this theory:1. A theory of remanence acquisition and demagnetization for titanomagnetite inclusions in sub-aerial basalts and Precambrian shields. These titanomagnetites are often networks of strongly interacting magnetite grains separated by ilmenite lamellae. The effect of particle interactions and grain growth on the accuracy of paleointensity measurements will be determined.2. A model of isothermal hysteresis measurements of sedimentary systems involving single-domain and superparamagnetic particles that may have significant interactions. These include remagnetized carbonates, sediments with fossil magnetotactic bacteria, and sediments with greigite or pyrrhotite. Such systems can carry important information on ancient environments and human impacts.3. A model of measurements involving oscillating fields, including anhysteretic remanent magnetization (ARM) and alternating field demagnetization of remanence. These measurements are common tools in paleomagnetic analysis.
关于前中生代地质学的许多主要假设都严重依赖于古地磁数据。岩石中的剩磁记录了古代磁场,并提供了有关板块构造和地球发电机历史的信息。为了使剩磁发挥作用,当岩石受到温度升高、压力和化学环境变化时,剩磁必须保持稳定。随着年龄的增加,合适的岩石变得越来越稀有。在前中生代岩石中,许多最有前途的磁记录仪并不符合良好古磁记录仪的标准模型,因为磁性矿物通过磁场相互作用。如果没有正确考虑这些相互作用,古地磁测量可能会产生误导。磁矩的热弛豫使相互作用的影响变得复杂,其中磁化强度跨越稳定状态之间的能垒。相互作用磁体模型面临的最大挑战是找到这些能量势垒。该提案的目的是利用数值代数几何中的一些强大方法来计算粒子相互作用和热波动的磁效应。相互作用的磁体的平衡方程可以表示为多项式方程组。将开发方法来使用同伦延拓找到此类系统的所有稳定状态和过渡状态。磁化强度的时间依赖性可以表示为一组动力学方程。该理论将有三个主要应用: 1.地下玄武岩和前寒武纪地盾中钛磁铁矿包裹体的剩磁获取和退磁理论。这些钛磁铁矿通常是由钛铁矿片层分隔开的强相互作用的磁铁矿颗粒网络。将确定颗粒相互作用和颗粒生长对古强度测量精度的影响。2.沉积系统的等温磁滞测量模型,涉及可能具有显着相互作用的单域和超顺磁性颗粒。这些包括再磁化的碳酸盐、含有趋磁细菌化石的沉积物以及含有镁黄铁矿或磁黄铁矿的沉积物。这些系统可以携带有关古代环境和人类影响的重要信息。3.涉及振荡场的测量模型,包括非磁滞剩磁 (ARM) 和剩磁交变场退磁。这些测量是古地磁分析中的常用工具。

项目成果

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Daniel Bates其他文献

The visual system prioritizes locations near corners of surfaces (not just locations near a corner)
视觉系统优先考虑表面拐角附近的位置(不仅仅是拐角附近的位置)
Configurable memory systems for embedded many-core processors
用于嵌入式众核处理器的可配置存储器系统
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Daniel Bates;Alex Chadwick;R. Mullins
  • 通讯作者:
    R. Mullins
Atlas and developmental dynamics of mouse DNase I hypersensitive sites
小鼠 DNase I 超敏感位点图谱和发育动态
  • DOI:
    10.1101/2020.06.26.172718
  • 发表时间:
    2020-06-27
  • 期刊:
  • 影响因子:
    0
  • 作者:
    C. Breeze;John T Lazar;T. Mercer;J. Halow;Ida Washington;Kristen Lee;S. Ibarrientos;Andres Castillo;Fidencio J. Neri;E. Haugen;Eric Rynes;Alex P. Reynolds;Daniel Bates;Morgan Diegel;D. Dunn;R. Kaul;R. S;strom;strom;W. Meuleman;M. Bender;M. Groudine;J. Stamatoyannopoulos
  • 通讯作者:
    J. Stamatoyannopoulos
The impact of rare variation on gene expression across tissues
罕见变异对跨组织基因表达的影响
  • DOI:
    10.1038/nature24267
  • 发表时间:
    2016-09-09
  • 期刊:
  • 影响因子:
    64.8
  • 作者:
    Xin Li;Yungil Kim;Emily K. Tsang;Joe R. Davis;Farhan N. Damani;Colby Chiang;Gaelen T. Hess;Zachary Zappala;Benjamin J. Strober;Ale;ra J. Scott;ra;Amy Li;A. Ganna;M. Bassik;J. Merker;F. Aguet;K. Ardlie;Beryl B. Cummings;Ellen T. Gelf;G. Getz;Kane Hadley;R. H;saker;saker;Katherine H. Huang;Seva Kashin;K. Karczewski;M. Lek;Xiao Li;D. MacArthur;Jared L. Nedzel;D. T. Nguyen;M. Noble;A. Segrè;Cas;ra A. Trowbridge;ra;T. Tukiainen;Nathan S. Abell;Brunilda Balliu;Ruth Barshir;Omer Basha;A. Battle;G. Bogu;A. Brown;Christopher D. Brown;Stephane E. Castel;Lin S. Chen;D. Conrad;N. Cox;O. Delaneau;E. Dermitzakis;B. Engelhardt;E. Eskin;Pedro G. Ferreira;L. Frésard;E. Gamazon;D. Garrido;Ariel D. H. Gewirtz;Genna Gliner;Michael J. Gloudemans;R. Guigó;Ira M. Hall;B. Han;Yuan He;F. Hormozdiari;C. Howald;H. Im;Brian Jo;Eun Yong Kang;Sarah Kim;T. Lappalainen;Gen Li;Boxiang Liu;S. Mangul;M. McCarthy;Ian C. McDowell;P. Mohammadi;Jean Monlong;S. Montgomery;Manuel Muñoz;Anne W. Ndungu;D. Nicolae;A. Nobel;Meritxell Oliva;H. Ongen;John Palowitch;N. Panousis;Panagiotis K. Papasaikas;YoSon Park;P. Parsana;Anthony J. Payne;Christine B. Peterson;J. Quan;F. Reverter;C. Sabatti;A. Saha;M. Sammeth;A. Shabalin;Reza Sodaei;M. Stephens;B. Stranger;J. Sul;S. Urbut;M. Bunt;Gao Wang;Xiaoquan Wen;F. Wright;H. Xi;Esti Yeger;Judith B. Zaugg;Yi‐Hui Zhou;J. Akey;Daniel Bates;Joanne Chan;M. Claussnitzer;Kathryn Demanelis;Morgan Diegel;J. Doherty;A. Feinberg;Maria S. Fern;o;o;J. Halow;K. Hansen;E. Haugen;P. Hickey;Lei Hou;F. Jasmine;Ruiqi Jian;Lihua Jiang;Audra K. Johnson;R. Kaul;Manolis Kellis;M. Kibriya;Kristen Lee;J. B. Li;Qin Li;Jessica Lin;Shin Lin;S;ra Linder;ra;C. Linke;Yaping Liu;M. Maurano;B. Molinie;Jemma Nelson;Fidencio J. Neri;Yongjin P. Park;B. Pierce;Nicola J. Rinaldi;L. Rizzardi;R. S;strom;strom;Andrew Skol;Kevin S. Smith;M. Snyder;J. Stamatoyannopoulos;Hua Tang;Li Wang;Meng Wang;N. V. Wittenberghe;Fan Wu;Rui Zhang;C. Nierras;P. Branton;Latarsha J. Carithers;P. Guan;Helen M. Moore;Abhi Rao;J. Vaught;Sarah E. Gould;Nicole C. Lockart;Casey Martin;J. Struewing;S. Volpi;A. Addington;S. Koester;A. Little;L. Brigham;R. Hasz;Marcus Hunter;Christopher Johns;Mark Johnson;G. Kopen;W. F. Leinweber;J. Lonsdale;Alisa McDonald;Bernadette Mestichelli;K. Myer;Brian Roe;Mike Salvatore;Saboor Shad;Jeffrey A. Thomas;Gary Walters;Michael Washington;Joseph Wheeler;J. Bridge;B. Foster;Bryan M. Gillard;E. Karasik;Rachna Kumar;Mark Miklos;M. T. Moser;S. Jewell;Robert G. Montroy;D. Rohrer;Dana R. Valley;D. Davis;D. Mash;Anita H. Undale;Anna M. Smith;D. Tabor;Nancy V. Roche;J. McLean;Negin Vatanian;Karna L. Robinson;L. Sobin;M. Barcus;Kimberly M. Valentino;L. Qi;Steven Hunter;P. Hariharan;Shilpi Singh;K. S. Um;Takunda Matose;M. Tomaszewski;Laura K. Barker;M. Mosavel;L. Siminoff;H. Traino;Paul Flicek;Thomas Juettemann;Magali Ruffier;Daniel Sheppard;K. Taylor;S. Trevanion;D. Zerbino;Brian Craft;M. Goldman;M. Haeussler;W. Kent;Christopher M. Lee;B. Paten;K. Rosenbloom;John Vivian;Jingchun Zhu
  • 通讯作者:
    Jingchun Zhu
Global reference mapping and dynamics of human transcription factor footprints
人类转录因子足迹的全球参考图谱和动态
  • DOI:
    10.1101/2020.01.31.927798
  • 发表时间:
    2020-02-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Vierstra;John T Lazar;R. S;strom;strom;J. Halow;Kristen Lee;Daniel Bates;Morgan Diegel;D. Dunn;Fidencio J. Neri;E. Haugen;Eric Rynes;Alex P. Reynolds;Jemma Nelson;Audra K. Johnson;M. Frerker;Michael Buckley;R. Kaul;W. Meuleman;J. Stamatoyannopoulos
  • 通讯作者:
    J. Stamatoyannopoulos

Daniel Bates的其他文献

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{{ truncateString('Daniel Bates', 18)}}的其他基金

SI2-SSE: Collaborative Proposal: Symbolic-Numeric Approaches to Polynomials
SI2-SSE:协作提案:多项式的符号数值方法
  • 批准号:
    1440467
  • 财政年份:
    2014
  • 资助金额:
    $ 14.54万
  • 项目类别:
    Standard Grant
CONFERENCE: Tutorials in Applicable Algebraic Geometry
会议:适用代数几何教程
  • 批准号:
    1321473
  • 财政年份:
    2013
  • 资助金额:
    $ 14.54万
  • 项目类别:
    Standard Grant
Preconditioning, analysis, and applications of numerical algebraic geometry methods
数值代数几何方法的预处理、分析和应用
  • 批准号:
    1115668
  • 财政年份:
    2011
  • 资助金额:
    $ 14.54万
  • 项目类别:
    Standard Grant
Reality, exactness, and computation in numerical algebraic geometry
数值代数几何中的真实性、精确性和计算
  • 批准号:
    0914674
  • 财政年份:
    2009
  • 资助金额:
    $ 14.54万
  • 项目类别:
    Standard Grant
Interactions of Classical and Numerical Algebraic Geometry
经典与数值代数几何的相互作用
  • 批准号:
    0756904
  • 财政年份:
    2008
  • 资助金额:
    $ 14.54万
  • 项目类别:
    Standard Grant
Fertility, Family, and Society in Istanbul, 1880-1940
伊斯坦布尔的生育率、家庭和社会,1880 年至 1940 年
  • 批准号:
    8519748
  • 财政年份:
    1986
  • 资助金额:
    $ 14.54万
  • 项目类别:
    Standard Grant

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面向开放环境的无人潜航器集群自适应协作控制方法研究
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    49 万元
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    面上项目
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  • 批准号:
    72301131
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    2023
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    30 万元
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面向自主认知与群智协作的多智能体制造系统关键技术研究
  • 批准号:
    52305539
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    2023
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CMG Collaborative Research: Tempered Stable Models for Preasymptotic Pollutant Transport in Natural Media
CMG 合作研究:自然介质中渐进前污染物传输的稳定模型
  • 批准号:
    1460319
  • 财政年份:
    2014
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    $ 14.54万
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    Standard Grant
CMG COLLABORATIVE RESEARCH: Development of New Statistical Learning Theory and Techniques for Improvement of Convection Parameterization in Climate Models
CMG 合作研究:开发新的统计学习理论和技术以改进气候模型中的对流参数化
  • 批准号:
    1037829
  • 财政年份:
    2010
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    $ 14.54万
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    Standard Grant
CMG Collaborative Research: Non-assimilation Fusion of Data and Models
CMG协同研究:数据与模型的非同化融合
  • 批准号:
    1025453
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    2010
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    $ 14.54万
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    Standard Grant
CMG COLLABORATIVE RESEARCH: From internal waves to mixing in the ocean
CMG 合作研究:从内波到海洋中的混合
  • 批准号:
    1024180
  • 财政年份:
    2010
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    $ 14.54万
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Collaborative Research: CMG--Analysis and Modeling of Rotating Stratified Flows
合作研究:CMG--旋转层流分析与建模
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    1025166
  • 财政年份:
    2010
  • 资助金额:
    $ 14.54万
  • 项目类别:
    Standard Grant
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