Lin Shen

Imperial College London — United Kingdom

Physics and Astronomy · Physical Sciences

25h-index2.5kcitations159works4.32yr avg
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Research Topics

Spectroscopy and Quantum Chemical Studies(16), Machine Learning in Materials Science(14), Advanced Chemical Physics Studies(12), Gold and Silver Nanoparticles Synthesis and Applications(10), Photochemistry and Electron Transfer Studies(10)

Publications159 total

Fabrication Method of Directional Microstructure for High Energy Density, High Power Battery Cathodes
Advanced Materials Interfaces·2026Open Access
Beyond Rigid Frameworks: A Dynamic 2D Supramolecular Organic Network of Luminescent Radicals in Water
Advanced Materials·2025Open Access
Analysis of the inrush current characteristics of wind turbine generators with different sent out modes
2025
Pure-violet oxygen-doped carbon quantum rings with near-unity quantum yield and a full-width at half-maximum of 18 nm
Nature Synthesis·2025· 3 cited
Darwin4Matter: A Platform Integrating Machine Learning and Quantum Chemistry for New Materials Design
Chemical Research in Chinese Universities·2025
Influence of Additional Gaussian Noises on Mixed Quantum-Classical Nonadiabatic Dynamics Simulations of Photoisomerization of <i>cis</i>-Azobenzene
The Journal of Physical Chemistry Letters·2025· 1 cited
Symmetric Boron-Bridged Carbon Quantum Frameworks for Light-Emitting Diodes with over 20% External Quantum Efficiency
Journal of the American Chemical Society·2025· 5 cited
Machine Learning with Physically Inspired Descriptors to Predict Solvation Free Energies of Neutral and Ionic Solutes in Aqueous and Nonaqueous Solvents
The Journal of Physical Chemistry B·2025
Machine Learning Prediction on Birefringence of Nonlinear Optical Crystals and Polymorphs with Different Birefringence Activities
The Journal of Physical Chemistry Letters·2025
Simulations of Excitonic Couplings in Spinach Light-Harvesting Complex II Using a More Realistic Model in the Presence of Photosystem II Core
ACS Omega·2025Open Access
Copper-mediated SEC14L3 promotes cuproptosis to inhibit hepatocellular carcinoma growth via ERK/YY1/FDX1 axis
Communications Biology·2025· 15 citedOpen Access
AI4NLO: An Integrated Data Platform for Machine Learning-Driven Exploration of Inorganic Nonlinear Optical Materials
Communications in Computational Chemistry·2025· 2 citedOpen Access
Superhydrophobic Polypropylene Surface via Migration of SiO <sub>2</sub> Nanoparticles with Low Surface Energy
Macromolecular Rapid Communications·2025· 3 cited
Stacking machine learning models for predicting photophysical properties of iridium complexes
Journal of Photochemistry and Photobiology A Chemistry·2025· 2 cited
Molecular design of sensitizers for high-efficiency OLEDs: exploration of energy transfer dynamics
Chemical Science·2025· 1 citedOpen Access
Synergistic Effects of Unconventional Hydrogen Bonds and π-Stacking Interaction and Their Excited-State Dependence: The Origin of Unusual Photophysical Properties of Aromatic Thioketones in Acetonitrile and Hydrocarbons
Journal of the American Chemical Society·2024· 5 cited
Machine learning-assisted amidase-catalytic enantioselectivity prediction and rational design of variants for improving enantioselectivity
Nature Communications·2024· 16 citedOpen Access
Retraction Note: Research on intelligent operation and maintenance of power systems in manufacturing enterprises based on digital twin technology
Optical and Quantum Electronics·2024· 1 citedOpen Access
Fabrication of layered SnS2 as co-triboelectric layers for high performance PDMS-based triboelectric nanogenerators
Materials Letters·2024· 4 cited
Construction of Highly Accurate Machine Learning Potential Energy Surfaces for Excited-State Dynamics Simulations Based on Low-Level Data Sets
The Journal of Physical Chemistry A·2024· 7 cited
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Frequent Co-authors

Wei‐Hai Fang(14), Weitao Yang(7), Xuebo Chen(7), Diandong Tang(4), Congcong Wang(3), Yi-Xin Chen(3), Siyang Feng(3), Kai Zhang(3), Hao Hu(3), Xianzhong Yang(2), Jingyu Sun(2), Jingheng Wu(2), Tanglue Feng(2), Bai Yang(2), Nan Zhang(2), Mingli Wang(2), Guochao Shi(2), Wanli Ma(2), Yu‐Fei Ao(2), Shuxin Pei(2)