| 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 | 89 | 2020 |
| 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 | 43 | 2020 |
| The Euler characteristic: A general topological descriptor for complex data A Smith, VM Zavala Computers & Chemical Engineering 154, 107463, 2021 | 35 | 2021 |
| Topological data analysis: concepts, computation, and applications in chemical engineering AD Smith, P Dłotko, VM Zavala Computers & Chemical Engineering 146, 107202, 2021 | 34 | 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 146 (4), 1224-1233, 2021 | 29 | 2021 |
| Sensing gas mixtures by analyzing the spatiotemporal optical responses of liquid crystals using 3D convolutional neural networks N Bao, S Jiang, A Smith, JJ Schauer, M Mavrikakis, RC Van Lehn, ... ACS sensors 7 (9), 2545-2555, 2022 | 12 | 2022 |
| Data analysis using Riemannian geometry and applications to chemical engineering A Smith, B Laubach, I Castillo, VM Zavala Computers & Chemical Engineering 168, 108023, 2022 | 8 | 2022 |
| Topological analysis of molecular dynamics simulations using the euler characteristic A Smith, S Runde, AK Chew, AS Kelkar, U Maheshwari, RC Van Lehn, ... Journal of Chemical Theory and Computation 19 (5), 1553-1567, 2023 | 6 | 2023 |
| Reviews: Topological distances and losses for brain networks MK Chung, A Smith, G Shiu arXiv preprint arXiv:2102.08623, 2021 | 3 | 2021 |
| Scalable extraction of information from spatiotemporal patterns of chemoresponsive liquid crystals using topological descriptors S Jiang, N Bao, AD Smith, S Byndoor, RC Van Lehn, M Mavrikakis, ... The Journal of Physical Chemistry C 127 (32), 16081-16098, 2023 | 2 | 2023 |
| Multi-site, multi-pollutant atmospheric data analysis using Riemannian geometry A Smith, J Hua, B de Foy, JJ Schauer, VM Zavala Science of The Total Environment 892, 164064, 2023 | 1 | 2023 |
| Topological Data Analysis for Particulate Gels A Smith, GJ Donley, E Del Gado, VM Zavala arXiv preprint arXiv:2404.02991, 2024 | | 2024 |
| Automated characterization and monitoring of material shape using Riemannian geometry A Smith, S Schilling, P Daoutidis Computers & Chemical Engineering 181, 108525, 2024 | | 2024 |
| Reconstructing the Topology of Complex Process Systems H Dewantoro, A Smith, P Daoutidis 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Characterizing the Multi-Scale Structure and Dynamics of Soft Gels through the Euler Characteristic A Smith, E Del Gado, V Zavala 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Topology and Geometry for the Advanced Design, Modeling, and Manufacturing of Materials and Pharmaceuticals A Smith 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Characterization of Chemoresponsive Liquid Crystals Using Topological Descriptors and Machine Learning S Jiang, N Bao, A Smith, NL Abbott, V Zavala 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Utilizing the Euler Characteristic for Extreme Event Detection B Laubach, A Smith, A Linot, R Maulik, V Zavala 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Keynote Talk-Topological Data Analysis: Concepts, Computation, and Applications in Manufacturing A Smith, V Zavala 2021 AIChE Annual Meeting, 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 |
