Alexander Douglas Smith
Title
Cited by
Cited by
Year
A machine learning framework for the analysis and prediction of catalytic activity from experimental data
A Smith, A Keane, JA Dumesic, GW Huber, VM Zavala
Applied Catalysis B: Environmental 263, 118257, 2020
172020
Convolutional network analysis of optical micrographs for liquid crystal sensors
AD Smith, N Abbott, VM Zavala
The Journal of Physical Chemistry C 124 (28), 15152-15161, 2020
92020
Topological data analysis: concepts, computation, and applications in chemical engineering
AD Smith, P Dłotko, VM Zavala
Computers & Chemical Engineering 146, 107202, 2021
22021
The Euler Characteristic: A General Topological Descriptor for Complex Data
A Smith, V Zavala
arXiv preprint arXiv:2103.03144, 2021
12021
Reviews: Topological Distances and Losses for Brain Networks
MK Chung, A Smith, G Shiu
arXiv preprint arXiv:2102.08623, 2021
12021
On the convergence of the dynamic inner PCA algorithm
S Shin, AD Smith, SJ Qin, VM Zavala
arXiv preprint arXiv:2003.05928, 2020
12020
The Cassels-Tate pairing for finite Galois modules
A Morgan, A Smith
arXiv preprint arXiv:2103.08530, 2021
2021
A novel approach for visualization and localization of small amounts of DNA on swabs to improve DNA collection and recovery process
S Jiang, JH Noh, C Park, AD Smith, NL Abbott, VM Zavala
ANALYST 146 (4), 1224-1233, 2021
2021
Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species
S Jiang, JH Noh, C Park, AD Smith, NL Abbott, VM Zavala
Analyst, 2020
2020
Topological Data Analysis: Applications to Soft Matter and Molecular Simulations
A Smith, AK Chew, RC Van Lehn, NL Abbott, VM Zavala
2020 Virtual AIChE Annual Meeting, 2020
2020
-Selmer Groups in Degree Twist Families
A Smith
2020
Convolutional Network Analysis of Optical Micrographs
A Smith, NL Abbott, VM Zavala
ChemRxiv, 2020
2020
Convolutional Network Analysis of Optical Micrographs for Liquid Crystal-Based Sensors
A Smith, NL Abbott, VM Zavala
2019 AIChE Annual Meeting, 2019
2019
Endotoxin Sensors Using Liquid Crystals and Machine Learning
S Jiang, J Noh, A Smith, NL Abbott, VM Zavala
2019 AIChE Annual Meeting, 2019
2019
Machine learning framework for the analysis of catalyst performance
A Smith, A Keane, J Dumesic, G Huber, V Zavala
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019
2019
Space-time analysis of optical responses of liquid crystal sensors
A Smith, J Sheavly, N Abbott, R Van Lehn, V Zavala
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019
2019
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Articles 1–16