Tairan Wang

University of Southampton — United Kingdom

Computer Science · Physical Sciences

9h-index583citations29works23.62yr avg
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Research Topics

Cooperative Communication and Network Coding(6), Wireless Communication Security Techniques(5), Machine Learning in Materials Science(5), Chemical Thermodynamics and Molecular Structure(5), Mobile Ad Hoc Networks(4)

Publications29 total

Correlation of metal anode reversibility with solvation chemistry and interfacial electron transfer in aqueous electrolytes
Science Advances·2025· 8 citedOpen Access
New Paradigm for Evaluating Scholar Summaries: A Facet-aware Metric and a Meta-evaluation Benchmark
ACM Transactions on Information Systems·2025
Data-driven stochastic model updating and damage detection with deep generative model
Mechanical Systems and Signal Processing·2025· 5 citedOpen Access
Unveiling the power of language models in chemical research question answering
Communications Chemistry·2025· 8 citedOpen Access
Data-driven Model Updating Solution for the NASA and DNV Challenge 2025 on Optimisation under Uncertainty with Flow-based Neural Networks
2025· 2 citedOpen Access
Data-Driven Stochastic Model Updating with Diffusion Models
2025Open Access
Nature of metal-support interaction for metal catalysts on oxide supports
Science·2024· 252 cited
Nature of Metal-Support Interaction Discovered by Interpretable Machine Learning
2024· 2 citedOpen Access
Nature of Metal-Support Interaction Discovered by Interpretable Machine Learning
2024· 1 citedOpen Access
Probing the Chemistry of Sulfurous Pollutants: Accurate Thermochemistry Determination of Extensive Sulfur-Containing Species
ACS Omega·2024· 3 citedOpen Access
Structure Sensitivity of Metal Catalysts Revealed by Interpretable Machine Learning and First-Principles Calculations
Journal of the American Chemical Society·2024· 37 cited
A PAH growth mechanism for nitrogen-containing aromatics in ammonia-doped hydrocarbon flames
Proceedings of the Combustion Institute·2024· 12 cited
Data-Driven Stochastic Model Updating and Damage Detection with Deep Generative Model
SSRN Electronic Journal·2024Open Access
Parametric and Non-parametric Stochastic Damage Detection Based on Bayesian Model Updating Framework with Hybrid Uncertainties
Mechanisms and machine science·2024
Oxidative desulfurization of fuel oil and molecular characterization of the sulfone compound distribution in the different extractants
Separation and Purification Technology·2023· 10 citedOpen Access
Probing the Chemistry of Sulfurous Pollutants: Accurate Thermochemistry Determination of Extensive Sulfur-Containing Species
SSRN Electronic Journal·2023Open Access
Computational thermochemistry of oxygenated polycyclic aromatic hydrocarbons and relevant radicals
Combustion and Flame·2022· 9 citedOpen Access
Large-scale thermochemistry calculations for combustion models
Applications in Energy and Combustion Science·2022· 4 citedOpen Access
Quantitatively Determining Surface–Adsorbate Properties from Vibrational Spectroscopy with Interpretable Machine Learning
Journal of the American Chemical Society·2022· 87 cited
Accurate thermochemistry prediction of extensive Polycyclic aromatic hydrocarbons (PAHs) and relevant radicals
Combustion and Flame·2022· 9 citedOpen Access
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Frequent Co-authors

S. Mani Sarathy(7), Georgios B. Giannakis(6), Kiran K. Yalamanchi(6), Runhai Ouyang(5), Wei‐Xue Li(5), Sifeng Bi(5), Sulei Hu(4), Shu Wu(4), Xin Bai(3), Shuyuan Liu(3), Bei Qu(3), John E. Mottershead(3), Goutham Kukkadapu(2), Xiuying Chen(2), Taicheng Guo(2), Xin Gao(2), Xiangliang Zhang(2), M. Monge-Palacios(2), Xiaolong Fu(2), Jianyu Hu(2)