Issue |
EPJ Web Conf.
Volume 286, 2023
European Conference on Neutron Scattering 2023 (ECNS 2023)
|
|
---|---|---|
Article Number | 04002 | |
Number of page(s) | 8 | |
Section | Soft Matter and Life Sciences | |
DOI | https://doi.org/10.1051/epjconf/202328604002 | |
Published online | 09 October 2023 |
https://doi.org/10.1051/epjconf/202328604002
Open problems in liquids dynamics: The role of neutron scattering
1 Dipartimento di Fisica e Astronomia, Università degli Studi di Firenze, I-50019 Sesto Fiorentino, Italy
2 Consiglio Nazionale delle Ricerche, Istituto di Fisica Applicata “Nello Carrara”, I-50019 Sesto Fiorentino, Italy
3 Department of Physics, University of Wisconsin-Madison, Madison, WI 53706, United States
4 Dipartimento di Economia e Diritto, Università di Macerata, I-62100 Macerata, Italy
5 CNR-IOM & INSIDE@ILL c/o Operative Group in Grenoble and Institut Laue Langevin, F-38042 Grenoble, France
* Corresponding author: guarini@fi.infn.it
Published online: 9 October 2023
We review recent inelastic neutron scattering experiments aimed at investigating still open issues in the microscopic dynamics of liquids. It is shown that the interpretation of experimental results is put on solid ground by the application of modern methods of analysis and lineshape modelling which ensure the fulfillment of fundamental physical properties that the spectra must obey. This last condition becomes crucial to avoid overinterpretations of the genuine information conveyed by scattering data, especially when studying weak signals in the dynamic structure factor. Moreover, we highlight the different roles that neutron data presently play compared to molecular dynamics simulations depending on the nature of the sample, including the case of quantum liquids. In particular, we show how neutron measurements remain an indispensable benchmark in assessing the present capabilities of classical and quantum simulation methods. We also mention the potential of statistical methods, such as Bayesian inference, when applied to neutron data analysis and the opportunity they provide in establishing the spectral features without arbitrary assumptions on the model lineshape.
© The Authors, published by EDP Sciences, 2023
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