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completing MD portion of MD/PhD program
,
UIUC
Publications
(12)
A machine learning framework for the analysis and prediction of catalytic activity from experimental data
Applied Catalysis B: Environmental · 2020
103
cited
Topological data analysis: Concepts, computation, and applications in chemical engineering
Computers and Chemical Engineering · 2020
56
cited
Convolutional Network Analysis of Optical Micrographs for Liquid Crystal Sensors
Journal of Physical Chemistry C · 2020
45
cited
The Euler characteristic: A general topological descriptor for complex data
Computers and Chemical Engineering · 2021
34
cited
Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks.
ACS Sensors · 2022
24
cited
Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species.
In Analysis · 2021
22
cited
Data analysis using Riemannian geometry and applications to chemical engineering
Computers and Chemical Engineering · 2022
15
cited
Topological Analysis of Molecular Dynamics Simulations using the Euler Characteristic.
Journal of Chemical Theory and Computation · 2023
14
cited
Reviews: Topological Distances and Losses for Brain Networks
arXiv.org · 2021
6
cited
Multi-site, multi-pollutant atmospheric data analysis using Riemannian geometry.
Science of the Total Environment · 2023
5
cited
Scalable Extraction of Information from Spatiotemporal Patterns of Chemoresponsive Liquid Crystals Using Topological Descriptors
Journal of Physical Chemistry C · 2023
5
cited
On the Convergence of the Dynamic Inner PCA Algorithm
arXiv.org · 2020
2
cited
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Alexander D. Smith | Researcher Profile | Sotabase | Sotabase