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www.bing.com Bing
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Small is a nanoscience & nanotechnology journal providing the very best forum for fundamental and interdisciplinary applied research at the nano- and microscale, covering chemistry, energy, physical �...
arxiv.org arXiv
arxiv.org › abs › 2505.00250v1
Hard-jet correlations probe parton energy loss and the microscopic structure of the quark-gluon plasma formed in ultra-relativistic heavy-ion collisions. The correlation of high-$p_\mathrm{T}$ jets wi...
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Small provides the very best forum for experimental and theoretical studies of fundamental and applied interdisciplinary research at these dimensions. Read an attractive mix of peer-reviewed Research ...
arxiv.org arXiv
arxiv.org › abs › 2207.07445v2
Information is physical, and for a physical theory to be universal, it should model observers as physical systems, with concrete memories where they store the information acquired through experiments ...
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2026 - Volume 22, Small Volume 22, Issue 12 Special Issue: Advanced Energy and Functional Materials 25 February 2026
arxiv.org arXiv
arxiv.org › abs › 1203.2145v2
This paper presents a modified grand canonical ensemble which provides a new simple and efficient scheme to study few-body fluid-like inhomogeneous systems under confinement. The new formalism is impl...
arxiv.org arXiv
arxiv.org › abs › 0704.0157v1
An overview of some analytical approaches to the computation of the structural and thermodynamic properties of single component and multicomponent hard-sphere fluids is provided. For the structural pr...
arxiv.org arXiv
arxiv.org › abs › 2007.07445v1
We develop an agent-based model of disease transmission in remote communities in Western Australia. Despite extreme isolation, we show that the movement of people amongst a large number of small but i...
arxiv.org arXiv
arxiv.org › abs › 1207.5290v1
Computational models of collective behavior in birds has allowed us to infer interaction rules directly from experimental data. Using a generic form of these rules we explore the collective behavior a...
arxiv.org arXiv
arxiv.org › abs › 1010.1705v1
Rich-club, assortativity and clustering coefficients are frequently-used measures to estimate topological properties of complex networks. Here we find that the connectivity among a very small portion ...
arxiv.org arXiv
arxiv.org › abs › q-bio › 0312029v1
Using daily infection data for Hong Kong we explore the validity of a variety of models of disease propagation when applied to the SARS epidemic. Surrogate data methods show that simple random models ...
arxiv.org arXiv
arxiv.org › abs › 1603.05224v3
A major challenge in instrumental variables (IV) analysis is to find instruments that are valid, or have no direct effect on the outcome and are ignorable. Typically one is unsure whether all of the p...
arxiv.org arXiv
arxiv.org › abs › 2004.10396v4
We show that precise knowledge of epidemic transmission parameters is not required to build an informative model of the spread of disease. We propose a detailed model of the topology of the contact ne...