Combinations of Analytical and Machine Learning Methods in a Single Simulation Framework for Amphoteric Molecules Detection-Reference-Cited by-同舟云学术

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Combinations of Analytical and Machine Learning Methods in a Single Simulation Framework for Amphoteric Molecules Detection

Published:2024-07 Issue:7 Volume:8 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Kumar Naveen¹^ORCID,Aleksandrov Preslav¹,Gao Yingjia¹,Macdonald Craig²,García César Pascual³,Georgiev Vihar¹^ORCID

Affiliation:

1. James Watt School of Engineering, University of Glasgow, Glasgow, U.K.

2. School of Computing Science, University of Glasgow, Glasgow, U.K.

3. Materials Research and Technology Department, Luxembourg Institute of Science and Technology, Belvaux, Luxembourg

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7782634/10553221/10543152.pdf?arnumber=10543152

Reference17 articles.

1. A TCAD-Based Methodology to Model the Site-Binding Charge at ISFET/Electrolyte Interfaces

2. Field-effect sensors – from pH sensing to biosensing: sensitivity enhancement using streptavidin–biotin as a model system

3. Dynamic behaviour of the silica-water-bio electrical double layer in the presence of a divalent electrolyte

4. Petroleomics: Tools, Challenges, and Developments

5. A Review on Biosensors and Recent Development of Nanostructured Materials-Enabled Biosensors

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