| Issue |
EPL
Volume 143, Number 5, September 2023
|
|
|---|---|---|
| Article Number | 57001 | |
| Number of page(s) | 7 | |
| Section | Biological and soft matter physics | |
| DOI | https://doi.org/10.1209/0295-5075/acf33f | |
| Published online | 31 August 2023 | |
Computational modelling of bionano interface
School of Physics, University College Dublin - Belfield, Dublin 4, Ireland
(a) E-mail: vladimir.lobaskin@ucd.ie (corresponding author)
Received: 1 June 2023
Accepted: 23 August 2023
The interface between inorganic and biological materials plays a crucial role in vital technological applications ranging from food processing and cosmetics to medicine but presents enormous technical challenges for computational modellers. These challenges stem from both conceptual and technical roots: the lengthscale and timescale gaps between the essential interactions and the properties of interest and the differences between the models of inorganic and biological materials. Research efforts of the last decade have led to significant advances in computational modelling of the bionano interface and allowed the construction of quantitative predictive models for both the structure of this interface and material functionalities based on descriptors obtained from the interface. In this work, we discuss advances in the field of bionano interface modelling and outline the directions of its further development.
© 2023 The author(s)
Published by the EPLA under the terms of the Creative Commons Attribution 4.0 International License (CC-BY). Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.