Multiscale Patterning from Competing Interactions and Length Scales.

IF 12.1 1区医学 Q1 NEUROSCIENCES

Annual review of neuroscience Pub Date : 2020-04-17 DOI:10.1146/annurev-matsci-081519-050045

Alan Bishop

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引用次数: 1

Abstract

We live in a research era marked by impressive new tools powering the scientific method to accelerate the discovery, prediction, and control of increasingly complex systems. In common with many disciplines and societal challenges and opportunities, materials and condensed matter sciences are beneficiaries. The volume and fidelity of experimental, computational, and visualization data available, and tools to rapidly interpret them, are remarkable. Conceptual frameworks, including multiscale, multiphysics modeling of this complexity, are fueled by the data and, in turn, guide directions for future experimental and computational strategies. In this spirit, I discuss the importance of competing interactions, length scales, and constraints as pervasive sources of spatiotemporal complexity. I use representative examples drawn from materials and condensed matter, including the important role of elasticity in some technologically important quantum materials. Expected final online publication date for the Annual Review of Materials Research, Volume 50 is July 1, 2020. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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来自竞争相互作用和长度尺度的多尺度模式。

我们生活在一个以令人印象深刻的新工具为标志的研究时代，这些新工具为科学方法提供了动力，以加速发现、预测和控制日益复杂的系统。与许多学科以及社会挑战和机遇一样，材料和凝聚态科学也是受益者。可用的实验、计算和可视化数据的体积和保真度，以及快速解释这些数据的工具，都是了不起的。概念框架，包括这种复杂性的多尺度、多物理建模，都是由数据推动的，进而为未来的实验和计算策略提供指导。本着这种精神，我讨论了竞争相互作用、长度尺度和约束作为时空复杂性普遍来源的重要性。我使用了从材料和凝聚态中提取的代表性例子，包括弹性在一些技术上重要的量子材料中的重要作用。《材料研究年度评论》第50卷预计最终在线出版日期为2020年7月1日。请参阅http://www.annualreviews.org/page/journal/pubdates用于修订估算。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annual review of neuroscience 医学-神经科学

CiteScore

25.30

自引率

0.70%

发文量

期刊介绍： The Annual Review of Neuroscience is a well-established and comprehensive journal in the field of neuroscience, with a rich history and a commitment to open access and scholarly communication. The journal has been in publication since 1978, providing a long-standing source of authoritative reviews in neuroscience. The Annual Review of Neuroscience encompasses a wide range of topics within neuroscience, including but not limited to: Molecular and cellular neuroscience, Neurogenetics, Developmental neuroscience, Neural plasticity and repair, Systems neuroscience, Cognitive neuroscience, Behavioral neuroscience, Neurobiology of disease. Occasionally, the journal also features reviews on the history of neuroscience and ethical considerations within the field.