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The Mendeleev–Meyer force project

Published:2016 Issue:40 Volume:8 Page:17400-17406
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Santos Sergio,Lai Chia-Yun,Amadei Carlo A.,Gadelrab Karim R.,Tang Tzu-Chieh,Verdaguer Albert,Barcons Victor,Font Josep,Colchero Jaime,Chiesa Matteo

Funder

Masdar Institute of Science and Technology

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2016/NR/C6NR06094C

Reference23 articles.

1. Atomic Force Microscope

2. Chemical Identification of Single Atoms in Heterogeneous III–IV Chains on Si(100) Surface by Means of nc-AFM and DFT Calculations

3. Unraveling the Molecular Structures of Asphaltenes by Atomic Force Microscopy

4. Chemical identification of individual surface atoms by atomic force microscopy

5. Big–deep–smart data in imaging for guiding materials design

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1. On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition;Physical Chemistry Chemical Physics;2024

2. Machine learning assisted multifrequency AFM: Force model prediction;Applied Physics Letters;2023-12-04

3. Scanning probe microscopy in the age of machine learning;APL Machine Learning;2023-11-10

4. Machine learning framework for determination of elastic modulus without contact model fitting;International Journal of Solids and Structures;2022-12

5. Emerging machine learning strategies for diminishing measurement uncertainty in SPM nanometrology;Surface Topography: Metrology and Properties;2022-09-01

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