Idealization and Idealized Models in Thermostatistical Physics

热统计物理中的理想化和理想化模型

基本信息

  • 批准号:
    9910889
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2000
  • 资助国家:
    美国
  • 起止时间:
    2000-02-01 至 2001-01-31
  • 项目状态:
    已结题

项目摘要

SES 99-10889 - Chuang Liu (University of Florida) "Idealization and Idealized Models in Thermostatistical Physics"The goal of this project is develop of a philosophical theory of idealization in light of a study of the intricate practice of model-building in thermostatistical physics. The structure of the overall argument goes as follows. The existing theory of idealization and its relation to approximation is found to be inadequate. The problem is then shown to be caused by a misunderstanding of the purpose (and therefore the measure) of idealization. It is therefore argued that idealization is not necessarily to postulate conditions which are themselves approximate or whose gradual removal guarantees approximate laws and/or models, but to carve nature at its joints -- obtaining theoretical models as a result -- so that genuine laws of nature can be either applied (if they are already known) or discovered (if they are not yet known). While such an intuitive notion of idealization gives the right, albeit inarticulate, characterization of the widespread practice of model-building in science, it defies an exact and universal formulation. To understand the rich content of this notion, one must conduct detailed analysis of its different guises in different fields of science. Thermostatistical physics is chosen for this project because it is the best understood branch of science which cuts across the microscopic and the macroscopic divide. The project provides a detailed study of various models in the explanation of phase transitions and critical phenomena. By examining the kind of ideal conditions going into the making of what the PI calls the approximate and the exact models, he shall develop a glimpse of how the notion of carving nature at its joints is put to work. The PI hopes that this project will motivate himself and others to study the practice of idealization- and model-making (since they always go hand--in-hand) in other areas of physics (or science).
SES 99-10889 - Chuang Liu(佛罗里达大学)“热统计物理中的理想化和理想化模型“该项目的目标是根据对热统计物理中模型构建的复杂实践的研究,发展理想化的哲学理论。整个论点的结构如下。现有的理想化理论及其与近似的关系被认为是不充分的。这个问题被证明是由对理想化的目的(以及衡量标准)的误解造成的。因此,有人认为,理想化不一定是假设条件本身是近似的,或其逐渐消除保证近似的法律和/或模型,但雕刻自然在其关节-获得理论模型的结果-使真正的自然规律可以应用(如果他们已经知道)或发现(如果他们还不知道)。虽然这种直观的理想化概念给出了正确的,虽然不清楚,在科学中广泛的建模实践的特征,它违背了一个精确的和普遍的公式。要理解这一概念的丰富内涵,就必须对它在不同科学领域的不同表现形式进行详细分析。热统计物理学被选为这个项目,因为它是最好的理解科学的分支,跨越微观和宏观的鸿沟。该项目提供了一个详细的研究各种模型在解释相变和临界现象。通过考察PI所谓的近似模型和精确模型的制作过程中的理想条件,他将对如何在关节处雕刻自然的概念进行一瞥。PI希望这个项目将激励他自己和其他人研究在物理学(或科学)的其他领域中理想化和模型制作的实践(因为它们总是齐头并进)。

项目成果

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会议论文数量(0)
专利数量(0)

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Chuang Liu其他文献

Robust H∞ Control for Satellite Attitude Control System with Uncertainties and Additive Perturbation
具有不确定性和加性摄动的卫星姿态控制系统的鲁棒H∞控制
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Chuang Liu;Feng Wang;Keke Shi;Xuefeng Wang;Zhao
  • 通讯作者:
    Zhao
Rb10Zn4Sn4S17: A Chalcogenide with Large Laser Damage Threshold Improved from the Mn-Based Analogue
Rb10Zn4Sn4S17:一种从锰基类似物改进而来的具有大激光损伤阈值的硫族化物
  • DOI:
    10.1021/acs.inorgchem.9b02481
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Jun Zhao;Dajiang Mei;Yi Yang;Wangzhu Cao;Chuang Liu;Yu;ong Wu;Zheshuai Lin
  • 通讯作者:
    Zheshuai Lin
Location-Aware Web Service QoS Prediction via Deep Collaborative Filtering
通过深度协作过滤进行位置感知 Web 服务 QoS 预测
A hypergraph model of social tagging networks
社交标签网络的超图模型
A network-based deep learning methodology for stratification of tumor mutations. Bioinformatics
用于肿瘤突变分层的基于网络的深度学习方法。
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    5.8
  • 作者:
    Chuang Liu;Zhen Han;Zi-Ke Zhang;Ruth Nussinov;FeiXiong Cheng
  • 通讯作者:
    FeiXiong Cheng

Chuang Liu的其他文献

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{{ truncateString('Chuang Liu', 18)}}的其他基金

Quantum Measurement at the Mimit? Idealization, Emergence, and Spontaneous Symmetry Breaking
米米特的量子测量?
  • 批准号:
    0620002
  • 财政年份:
    2006
  • 资助金额:
    --
  • 项目类别:
    Standard Grant

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AGS-PRF: Examining the Response of Tropical Cyclone Precipitation Structure to Climate Change Using Idealized and Realistic Models
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New insights into eddy anisotropy in the ocean from the study of idealized process models
从理想化过程模型的研究对海洋涡流各向异性的新见解
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从理想化过程模型的研究对海洋涡流各向异性的新见解
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Idealized Models in Scientific Explanation: Some Lessons from Geomorphology (Scholars Award)
科学解释中的理想化模型:地貌学的一些教训(学者奖)
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