A Bayesian regularization-backpropagation neural network model for peeling computations-Reference-Cited by-同舟云学术

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A Bayesian regularization-backpropagation neural network model for peeling computations

Published:2021-11-22 Issue: Volume: Page:1-24
ISSN:0021-8464
Container-title:The Journal of Adhesion
language:en
Short-container-title:The Journal of Adhesion

Author:

Gouravaraju Saipraneeth¹^ORCID,Narayan Jyotindra¹^ORCID,Sauer Roger A.¹²³⁴^ORCID,Gautam Sachin Singh¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

2. Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Aachen, Germany

3. Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

4. Faculty of Civil and Environmental Engineering, Gdańsk University of Technology, Poland

Funder

Science and Engineering Research Board

Publisher

Informa UK Limited

Subject

Materials Chemistry,Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanics of Materials,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00218464.2021.2001335

Reference39 articles.

1. Adhesion and friction forces in microelectromechanical systems: mechanisms, measurement, surface modification techniques, and adhesion theory

2. Controllable and switchable capillary adhesion mechanism for bio-adhesive pads: Effect of micro patterns

3. Peel adhesion test for thermal spray coatings

4. High Friction from a Stiff Polymer Using Microfiber Arrays

5. Towards friction and adhesion from high modulus microfiber arrays

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