| Neutral charged immunosensor platform for protein-based biomarker analysis with enhanced sensitivity Y Dai, LY Chiu, Y Chen, S Qin, X Wu, CC Liu ACS sensors 4 (1), 161-169, 2018 | 26 | 2018 |
| Predicting critical micelle concentrations for surfactants using graph convolutional neural networks S Qin, T Jin, RC Van Lehn, VM Zavala The Journal of Physical Chemistry B 125 (37), 10610-10620, 2021 | 22 | 2021 |
| Neural network feature and architecture optimization for injection molding surface defect prediction of model polypropylene AJ Román, S Qin, VM Zavala, TA Osswald Polymer Engineering & Science 61 (9), 2376-2387, 2021 | 18 | 2021 |
| Capturing molecular interactions in graph neural networks: A case study in multi-component phase equilibrium S Qin, S Jiang, J Li, P Balaprakash, RC Van Lehn, VM Zavala Digital Discovery 2 (1), 138-151, 2023 | 17 | 2023 |
| Natural rubber blend optimization via data-driven modeling: The implementation for reverse engineering AJ Román, S Qin, JC Rodríguez, LD González, VM Zavala, TA Osswald Polymers 14 (11), 2262, 2022 | 11 | 2022 |
| Degradation of PERC and Al-BSF Photovoltaic Cells with Differentiated Mini-module Packaging Under Damp Heat Exposure M Wang, AJ Curran, EJ Schneller, J Dai, A Pradhan, S Qin, EL Anderson, ... 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) 2, 1-7, 2019 | 4 | 2019 |
| Convolutional neural networks: Basic concepts and applications in manufacturing S Jiang, S Qin, JL Pulsipher, VM Zavala Artificial Intelligence in Manufacturing, 63-102, 2024 | 3 | 2024 |
| Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search S Jiang, S Qin, RC Van Lehn, P Balaprakash, VM Zavala arXiv preprint arXiv:2307.10438, 2023 | 3 | 2023 |
| Viscoelastic behavior prediction of natural rubber blends via machine learning and its application for reverse engineering materials AJ Román, S Qin, JC Rodríguez, V Zavala, TA Osswald AIP Conference Proceedings 2884 (1), 2023 | 1 | 2023 |
| Reliability and Power Degradation Rates of PERC Modules Using Differentiated Packaging Strategies and Characterization Tools RH French, BD Huey, A Longacre, M Martin, T Moran, OV Kolosov, ... Case Western Reserve Univ., Cleveland, OH (United States), 2021 | 1 | 2021 |
| Decoding Optical Responses of Contact-Printed Arrays of Liquid Crystals Using Machine Learning: Detection of Aqueous Amphiphiles with Enhanced Sensitivity and Selectivity S Qin, R Van Lehn, F Wang, C Acevedo-Velez, D Lynn, V Zavala 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Decoding Optical Responses of Contact-Printed Arrays of Thermotropic Liquid Crystals Using Machine Learning: Detection and Reporting of Aqueous Amphiphiles with Enhanced … F Wang, S Qin, C Acevedo-Vélez, RC Van Lehn, VM Zavala, DM Lynn ACS Applied Materials & Interfaces 15 (43), 50532-50545, 2023 | | 2023 |
| Uncertainty Quantification for Molecular Property Predictions Using Automatic Graph Neural Architecture Search S Jiang, S Qin, P Balaprakash, R Van Lehn, V Zavala 2022 AIChE Annual Meeting, 2022 | | 2022 |
Victor M ZavalaUniversity of Wisconsin-Madison & Argonne National LaboratoryPreverjeni e-poštni naslov na wisc.edu
