Topological Data Analysis of Nanoscale Roughness of Layer-by-Layer Polyelectrolyte Samples Using Machine Learning-Reference-Cited by-同舟云学术

Topological Data Analysis of Nanoscale Roughness of Layer-by-Layer Polyelectrolyte Samples Using Machine Learning

Published:2023-11-17 Issue:12 Volume:5 Page:6955-6963
ISSN:2637-6113
Container-title:ACS Applied Electronic Materials
language:en
Short-container-title:ACS Appl. Electron. Mater.

Author:

Aglikov Aleksandr S.¹,Aliev Timur A.¹^ORCID,Zhukov Mikhail V.¹,Nikitina Anna A.¹,Smirnov Evgeny¹^ORCID,Kozodaev Dmitry A.²,Nosonovsky Michael I.¹³^ORCID,Skorb Ekaterina V.¹^ORCID

Affiliation:

1. Infochemistry Scientific Center, ITMO University, 9 Lomonosova Street, Saint-Petersburg 191002, Russia

2. NT-MDT BV, Hoenderparkweg 96 b, Apeldoorn 7335, The Netherlands

3. Mechanical Engineering, University of Wisconsin Milwaukee, 3200 North Cramer Street, Milwaukee, Wisconsin 53211, United States

Funder

Ministry of Science and Higher Education of the Russian Federation

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Electrochemistry,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acsaelm.3c01358

Reference40 articles.

1. Nanostructured Layer-by-Layer Polyelectrolyte Containers to Switch Biofilm Fluorescence

2. Recent Progress of Layer‐by‐layer Assembly, Free‐Standing Film and Hydrogel Based on Polyelectrolytes

3. Importance of buffering nanolayer position in Layer-by-Layer assembly on titania based hybrid photoactivity

4. Two-dimensional adaptive membranes with programmable water and ionic channels

5. Characteristics of polyelectrolyte multilayers: Effect of PEI anchoring layer and posttreatment after deposition

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