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pro vyhledávání: '"McCraw, Marshall"'
Autor:
McCraw, Marshall R., Uluutku, Berkin, Solomon, Halen D., Anderson, Megan S., Sarkar, Kausik, Solares, Santiago D.
We demonstrate that the method of characterizing viscoelastic materials with Atomic Force Microscopy (AFM) by fitting analytical models to force-distance (FD) curves often yields conflicting and physically unrealistic results. Because this method inv
Externí odkaz:
http://arxiv.org/abs/2210.00617
Autor:
McCraw, Marshall R.
Python was used to download and format NewsAPI article data relating to 400 publicly traded, low cap. Biotech companies. Crowd-sourcing was used to label a subset of this data to then train and evaluate a variety of models to classify the public sent
Externí odkaz:
http://arxiv.org/abs/2210.00870
Force-distance curve experiments are commonly performed in Atomic Force Microscopy (AFM) to obtain the viscoelastic characteristics of materials, such as the storage and loss moduli or compliances. The classic methods used to obtain these characteris
Externí odkaz:
http://arxiv.org/abs/2202.08945
Akademický článek
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Autor:
Taploo, Anmol, Soni, Vikas, Solomon, Halen, McCraw, Marshall, Lin, Li, Spinelli, Jake, Shepard, Steven P., Solares, Santiago D., Keidar, Michael
Publikováno v:
Journal of Electric Propulsion; 10/12/2023, Vol. 2 Issue 1, p1-23, 23p
Autor:
McCraw, Marshall R., Uluutku, Berkin, Solomon, Halen D., Anderson, Megan S., Sarkar, Kausik, Solares, Santiago D.
Publikováno v:
Soft Matter; 1/21/2023, Vol. 19 Issue 3, p451-467, 17p