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Pingfan Hu
Pingfan Hu
Atlas Copco Power Technique/ Texas A&M University
Verified email at tamu.edu - Homepage
Title
Cited by
Cited by
Year
Machine learning and deep learning in chemical health and safety: a systematic review of techniques and applications
Z Jiao, P Hu, H Xu, Q Wang
ACS Chemical Health & Safety 27 (6), 316-334, 2020
1102020
Profiling of microbial colonies for high-throughput engineering of multistep enzymatic reactions via optically guided matrix-assisted laser desorption/ionization mass spectrometry
T Si, B Li, TJ Comi, Y Wu, P Hu, Y Wu, Y Min, DA Mitchell, H Zhao, ...
Journal of the American Chemical Society 139 (36), 12466-12473, 2017
672017
Electro-Oxidation of Ethanol Using Pt3Sn Alloy Nanoparticles
Y Liu, M Wei, D Raciti, Y Wang, P Hu, JH Park, M Barclay, C Wang
ACS Catalysis 8 (11), 10931-10937, 2018
652018
A plug‐and‐play pathway refactoring workflow for natural product research in Escherichia coli and Saccharomyces cerevisiae
H Ren, P Hu, H Zhao
Biotechnology and bioengineering 114 (8), 1847-1854, 2017
352017
Applications of resilience engineering principles in different fields with a focus on industrial systems: A literature review
B Pawar, S Park, P Hu, Q Wang
Journal of Loss Prevention in the Process Industries 69, 104366, 2021
342021
Thermal stability of metal–organic frameworks (MOFs): Concept, determination, and model prediction using computational chemistry and machine learning
HU Escobar-Hernandez, LM Pérez, P Hu, FA Soto, MI Papadaki, HC Zhou, ...
Industrial & Engineering Chemistry Research 61 (17), 5853-5862, 2022
262022
Development of flammable dispersion quantitative property–consequence relationship models using extreme gradient boosting
Z Jiao, Y Sun, Y Hong, T Parker, P Hu, MS Mannan, Q Wang
Industrial & Engineering Chemistry Research 59 (33), 15109-15118, 2020
192020
Aiding airway obstruction diagnosis with computational fluid dynamics and convolutional neural network: A new perspective and numerical case study
P Hu, C Cai, H Yi, J Zhao, Y Feng, Q Wang
Journal of Fluids Engineering 144 (8), 081206, 2022
162022
Development of Solubility Prediction Models with Ensemble Learning
P Hu, Z Jiao, Z Zhang, Q Wang
Industrial & Engineering Chemistry Research, 2021
142021
Electrocatalytic Study of Ethylene Glycol Oxidation on Pt3Sn Alloy Nanoparticles
Y Liu, P Hu, M Wei, C Wang
ChemElectroChem 6 (4), 1004-1008, 2019
132019
A Smart CO2-Based Ventilation Control Framework to Minimize the Infection Risk of COVID-19 In Public Buildings
Z Pang, P Hu, X Lu, Q Wang, Z O’Neill
Building Simulation 2021 Conference, 2021
122021
Developing risk assessment framework for wildfire in the United States–A deep learning approach to safety and sustainability
P Hu, R Tanchak, Q Wang
Journal of Safety and Sustainability, 2023
42023
Barite from the Linwood Mine, Scott County, Iowa
JT Freiburg, JANT Soares, P Hu
Rocks & Minerals 92 (1), 18-29, 2017
32017
CO2 pipelines release and dispersion: A review
CY Li, JAD Marquez, P Hu, Q Wang
Journal of Loss Prevention in the Process Industries, 105177, 2023
2023
SIREN – smart ventilation for infection risk mitigation and HVAC energy efficiency: a case study amid the COVID-19 pandemic
Z Pang, X Lu, P Hu, ZO Neill, Q Wang
Journal of Building Performance Simulation, 1-29, 2023
2023
Introduction
P Hu, Q Wang
Machine Learning in Chemical Safety and Health: Fundamentals with …, 2022
2022
Machine Learning and Deep Learning Applications in Medical Image Analysis
P Hu, C Cai, Y Feng, Q Wang
Machine Learning in Chemical Safety and Health: Fundamentals with …, 2022
2022
Developing Risk Assessment Framework for Wildfire in the United States – a Deep Learning Approach
P Hu, R Tanchak, Q Wang
2022 AIChE Annual Meeting, 2022
2022
Development of Toxic Dispersion Quantitative Property-Consequence Relationship (QPCR) Models Using Machine Learning
Z Jiao, P Hu, Y Sun, Y Hong, Q Wang
2020 AIChE Annual Meeting, 2020
2020
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Articles 1–19