๐ Publications
(* denotes equal contribution)
๐ LLM for chemistry
submitted to AAAI 2024
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering, Xiuying Chen*, Tairan Wang*, Jurgen Schmidhuber, et al.To be submitted
Catalysis-Specific Large Language Model (ChemLLM): Information Retrieval for Catalyst Evaluation, Catalyst Recommendation and the Design of High Sintering-Resistance Nanocatalyst, Tairan Wang, Weixue Li.Ongoing
Data Extraction and Multitask Machine Learning in Electrolysis Catalyst Design, Tairan Wang, Mani Sarathy.Ongoing
Electrolyte Design for Sodium Batteries Using Text Mining and Deep Learning, Tairan Wang, Yunpei Zhu.Ongoing
Mapping the Chemical Reaction Space with Natural Language Processing and Reaction Graph for Combustion Modeling, Tairan Wang, Mani Sarathy.
๐งโ๐จ Machine learning prediction
Nat. Catal. Under review
Interpretable Machine Learning for Derivable Equation Discovery of Metal-Support Interaction in Nanocatalysts, Tairan Wang, Sulei Hu, et al.Fuel Under review
Transfer Learning and Graph Neural Network Approach to Multitarget Temperature-Dependent Thermochemistry Prediction, Tairan Wang*, Sirio Brunialti*, et al.J. Am. Chem. Soc. 2022
Quantitatively Determining SurfaceโAdsorbate Properties from Vibrational Spectroscopy with Interpretable Machine Learning, Xijun Wang, Shuang Jiang, Wei Hu, Tairan Wang, et al.Chin. J. of Chem. Phys. 2020
Machine-learning Adsorption on Binary Alloy Surfaces for Catalyst Screening, Tairan Wang, et al.J. Uni. Sci. Tech. Chin. 2020
AI-based Descriptor for Predicting Alloy Formation Energys, Jiancong Li*, Tairan Wang*, et al.
๐ Computational reaction mechanism
Combus. Flame 2023
Computational Thermochemistry of Oxygenated Polycyclic Aromatic Hydrocarbons and Relevant Radicals, Tairan Wang, Yalamanchi Kiran, et al.Proc. Combust. Inst. To be submitted
Hydrogen Abstraction Kinetics in Low-Temperature Combustion: A Theoretical Study of 2-methylhexane + OH and 2,4-dimethylpentane + OH Reactions, Tairan Wang*, Myriam Belmekki*, et al.J. Phys. Chem. A. To be submitted
Multi-structural Torsional Variational Transition State Theory Analysis of Hydrogen Abstraction Kinetics between n-heptane and Hydroxide Radicals, Myriam Belmekki*, Tairan Wang*, et al.Appl. Energy Combust. Sci. 2022
Large-Scale Thermochemistry Calculations for Combustion Models, Yalamanchi Kiran, Yang Li, Tairan Wang, et al.Combus. Flame 2022
Accurate Thermochemistry Prediction of Extensive Polycyclic Aromatic Hydrocarbons (PAHs) and Relevant Radicals, Yang Li*, Tairan Wang*, et al.
๐ Theoretical catalysis
Science To be submitted
Structural Dynamics of Interface-Confined Ferrous Centers for Catalytic Oxidation, Yangsheng Li*, Tairan Wang*, Chuwei Zhu, Weixue Li, Fan Yang, Xinhe Bao.Appl. Catal. B 2023
Insight into Oxygen Vacancies of PMoA-TiO2 Catalyst on Deep Oxidative Desulfurization of Fuel Oil and Molecular Characterization of Sulfur Compounds, Jiyuan Fan*, Tairan Wang*, et al.Sep. Purif. Technol. 2023
Oxidative Desulfurization of Fuel Oil and Molecular Characterization of the Sulfone Compound Distribution in the Different Extractants, J Fan, HA Khan, Tairan Wang, et al.