Qiwen Guo

Hefei University of Technology — China

Chemical Engineering · Physical Sciences

6h-index198citations25works3.92yr avg
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Research Topics

Catalysis and Oxidation Reactions(6), Machine Learning in Materials Science(6), Polymer crystallization and properties(3), Polymer Nanocomposites and Properties(3), Catalytic Processes in Materials Science(2)

Publications25 total

An interpretable ensemble learning framework based on Bayesian optimization for the optimal design of ammonia decomposition catalysts
Chinese Journal of Chemical Engineering·2026
BiML-SyMO: Bridging multi-objective optimization of catalysts and chemical systems through a bilateral machine learning framework
Chemical Engineering Science·2026
Interpretable Machine-Learning-Assisted Design of Metal Oxide Catalysts by Decoding Key Descriptors for CO <sub>2</sub> -Assisted Propane Dehydrogenation
ACS Applied Materials & Interfaces·2026
Towards cleaner production of methyl glycolate: Techno-economic-environmental optimization via hybrid physics-machine learning modeling
Journal of Cleaner Production·2025· 1 cited
Machine learning-guided optimization of iron-based catalysts toward minimal-resource and efficient peroxymonosulfate activation for hazardous organic pollutants degradation
Journal of Hazardous Materials·2025· 1 cited
Numerical analysis of dynamic behavior of falling rock block impact against soil-rock mixture by coupling DEM-FDM approach
Scientific Reports·2025Open Access
High-fidelity quaternity intelligent architecture for thermodynamic, economic, and environmental optimization of CO2-to-methanol process
Chemical Engineering Science·2025
Generative Adversarial Network-Enhanced Heterogeneous Ensemble Learning for Interpretable Prediction of CO<sub>2</sub>-to-Methanol Catalyst Performance
Industrial & Engineering Chemistry Research·2025· 1 cited
Bio-Digital Catalyst Design: Generative Deep Learning for Multi-Objective Optimization and Chemical Insights in CO<sub>2</sub> Methanation
ACS Catalysis·2025· 5 cited
A Hybrid Encoding-Enhanced Machine Learning and Multioptimization Framework for the Optimal Catalyst Design of the Methane-to-Ethylene Process
Industrial & Engineering Chemistry Research·2025· 2 cited
Ensemble learning-driven multi-objective optimization of the co-pyrolysis process of biomass and coal for high economic and environmental performance
Chinese Journal of Chemical Engineering·2025· 2 cited
Unlocking prediction and optimal design of CO2 methanation catalysts via active learning-enhanced interpretable ensemble learning
Chemical Engineering Journal·2025· 17 cited
An auto-configurable and interpretable ensemble learning framework for optimal catalyst design of green methanol production via Bayesian optimization
Journal of Cleaner Production·2025· 9 cited
An interpretable machine learning-based optimization framework for the optimal design of carbon dioxide to methane process
Energy Conversion and Management·2024· 16 cited
Experimental studies on compressive and tensile strength of cement-stabilized soil reinforced with rice husks and polypropylene fibers
Construction and Building Materials·2022· 92 cited
Comparison of Shear Wave Velocity Prediction Models to Yangtze River Deltaic Sediments Based on Piezocone Test Data
International Journal of Civil Engineering·2019· 4 cited
Investigation of Rebar Exposure Issues of Diaphragm Wall and Influencing Factors Analysis
KSCE Journal of Civil Engineering·2019· 9 cited
Design and Construction of a Shock Tube Experiment for Multiphase Instability Experiments
Bulletin of the American Physical Society·2016
Effects of short time electric pulse heat treatment on microstructures and mechanical properties of hot-rolled Ti–6Al–4V alloy
Materials Science and Engineering A·2014· 28 cited
The optimization of FHT-based ACO-OFDM atmospheric laser communication system in terms of PAPR reduction
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2013
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Frequent Co-authors

Qingchun Yang(10), Zhao Wang(9), Runjie Bao(6), Dongwen Rong(4), Liyuan Tong(3), Hongbo Che(3), Huangsong Pan(3), Yanli Cai(3), Dawei Zhang(3), Jingsong Guan(3), Mingfei Zhang(2), Jiuxing Jiang(2), Jian Guan(2), Jun Hu(2), Jun Hu(2), Yu Xiao(1), Lingli Gao(1), Jinxu Liu(1), Xingwang Cheng(1), Shukui Li(1)