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A new solid-state theory for the prediction of Nuclear Magnetic Resonance J-coupling constants

A new solid-state theory for the prediction of Nuclear Magnetic Resonance J-coupling constants
预测核磁共振 J 耦合常数的新固态理论
批准号:
EP/C007573/1
负责人:
Christopher Pickard
金额:
$15.18万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2006
资助国家:
英国
项目状态:
已结题
起止时间:
2006 至 --

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中文摘要
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英文摘要
Scientists try to understand the world around us and modern sciencewould have got nowhere without careful, and often surprising,experimental observations. But all scientists are theorists as well,as they seek to understand their experiments, discovering the simplestpossible ``theory'' that explains all the known facts.Mathematics is the language of theory, certainly in the physicalsciences, and increasingly in biology. It is not just a descriptivelanguage --- it is a tool that allows the theories to be manipulated,improved, or even disproved. Equations are solved --- known quantitiesare used to discover the unknowns.With the advent of modern powerful computers theorists have gained anew tool. Not only can computers now do many mathematical tasks, suchas solving very complex equations, they can also manipulate theoriesthat would be very difficult or impossible for a traditionalmathematician to handle using a pencil and lots of paper.I am a theorist who is interested in understanding ``condensedmatter'' --- or most of the ``stuff'' in the universe that we, ashumans, are likely to be able to touch. This includes semiconductorcrystals and liquid crystals, metals and superconductors, mineralsthat might be found deep in the Earth or other planets, and evenmolecules that keep us alive.The fundamental theory that my research relies on was discovered inthe early 20th century --- Quantum Mechanics, a mechanics of the verysmall particles that most matter is made of: electrons, protons andneutrons. The equations that we still believe explain most of thephenomena that we can see around us were written down over fifty yearsago, but were impossible to solve!Using theoretical advances and enthusiastically making use ofcomputers and supercomputers, I actually solve these equations for avast range of realistic situations, from discovering what makesdiamond so strong, to understanding proteins. I have helped develop astate-of-the-art computer program: CASTEP, which can be used tocalculate the properties of very large collections of atoms.A feature of my research is that having concentrated on solving themost basic, and widely applicable quantum mechanical equations I amable to answer relevant questions in a wide range of scientificdisciplines. Much of my current (and proposed future) work aims at helpingscientist ``see'' the atomic structure of matter. When we seesomething with our naked eyes, light scatters from the object, isfocused by our eye's lens and falls onto the retina. This sends aflurry of signals to our brain, which somehow does the necessarycalculations to allow us to figure out what we are seeing. When peopletry to see atoms the situation is more complicated. Shorter wavelengthlight (or particles) have to be used, and quantum mechanics becomesimportant. The scattered light (eg. x-rays) is diffracted and we see apattern of spots which are not atoms. Our brains cannot directlyinterpret these patterns, but with the help of a quantitative theoryof diffraction from crystals we are able to sort out where the atomsare. The technique of Nuclear Magnetic Resonance (NMR) is not based onscattering and diffraction. A magnetic field applied to a sample setsup electric currents, which in turn produce magnetic fields. Thesecurrents depend of where the electrons are in the sample and what theyare doing, and can be measured by special atomic nuclei which behavelike tiny magnets. However, the relationship between where the atomsare and the measured magnetic field is not straightforward. In thecourse of my research I am developing a quantitative theory ofmagnetic resonance which has the potential to enable NMR to be asdirect a way to see atoms as x-ray crystallography --- without theneed to grow large perfect crystals.
期刊论文(5)
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科研奖励(0)
会议论文
Quantifying weak hydrogen bonding in uracil and 4-cyano-4'-ethynylbiphenyl: a combined computational and experimental investigation of NMR chemical shifts in the solid state.
量化尿嘧啶和 4-氰基-4-乙炔基联苯中的弱氢键:固态 NMR 化学位移的计算和实验相结合的研究。
DOI: 10.1021/ja075892i
发表时间: 2008
期刊: Journal of the American Chemical Society
影响因子: 15
作者: [Uldry AC]
通讯作者: Uldry AC
Exploiting the European XFEL for a New Generation of High Energy Density and Materials Science
  • 批准号:
    EP/S021981/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $75.4万
  • 财政年份:
    2019
  • 负责人:
    Christopher Pickard
  • 依托单位:
Support for the UKCP consortium
  • 批准号:
    EP/P022596/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $7.39万
  • 财政年份:
    2017
  • 负责人:
    Christopher Pickard
  • 依托单位:
TOUCAN: TOwards an Understanding of CAtalysis on Nanoalloys
  • 批准号:
    EP/J010863/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $25.61万
  • 财政年份:
    2015
  • 负责人:
    Christopher Pickard
  • 依托单位:
TOUCAN: TOwards an Understanding of CAtalysis on Nanoalloys
  • 批准号:
    EP/J010863/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $34.34万
  • 财政年份:
    2012
  • 负责人:
    Christopher Pickard
  • 依托单位:
国内基金
海外基金
拟双曲几何及相关研究
  • 批准号:
    11071063
  • 项目类别:
    面上项目
  • 资助金额:
    26.0万元
  • 批准年份:
    2010
  • 负责人:
    王仙桃
  • 依托单位:
应用改良染色体构象捕获策略确定HBV增强子在肝癌细胞对宿主基因的调节
基于SSD的大规模元数据处理技术研究
全固态钠黄光激光器波长调控与锁定技术研究
  • 批准号:
    60508013
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    23.0万元
  • 批准年份:
    2005
  • 负责人:
    薄勇
  • 依托单位: