6 citations · 6 across the 1 of their papers we have counts for
3 papers
cond-mat.soft2022★ 1 cited
Optimizing the Accuracy of Viscoelastic Characterization with AFM Force-Distance Experiments in the Time and Frequency Domains
Marshall R. McCraw, Berkin Uluutku, Halen D. Solomon +3
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 c…
q-fin.ST2022
Multiclass Sentiment Prediction for Stock Trading
Marshall R. McCraw
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 t…
physics.app-ph2022★ 6 cited
Direct Measurement of Storage and Loss Behavior in AFM Force-Distance Experiments Using the Modified Fourier Transformation
Berkin Uluutku, Marshall Richards McCraw, Santiago D. Solares
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 modul…