Qionghua Zhou

Suzhou Research Institute — China

Materials Science · Physical Sciences

33h-index6.2kcitations116works9.02yr avg
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Research Topics

2D Materials and Applications(34), Machine Learning in Materials Science(23), Perovskite Materials and Applications(22), Graphene research and applications(11), Respiratory viral infections research(11)

Publications116 total

Boosting Crystalline Property Prediction through Dynamical Feature Updating and Wavelet-Denoised Features: A New Deep Learning Model
The Journal of Physical Chemistry Letters·2026
Continuous discovery of novel 2D materials via dual active learning-driven generative models
National Science Review·2026Open Access
Two‐Dimensional Semiconductor–Metal Contact Engineering: Challenges and Strategies for High‐Performance Electronics
Advanced Functional Materials·2025
Decoding plasticity in van der Waals crystals via causality-driven interpretable machine learning
Nano Research·2025Open Access
Extending the Schottky–Mott Rule to Atomic Thickness: Descriptors for Two-Dimensional Semiconductor–Metal Contacts
Nano Letters·2025
A Descriptor-Driven Thermodynamic Framework for Achieving Unidirectional Nucleation in 2D Material Epitaxy
ACS Nano·2025· 1 cited
Active Learning for Accelerated Discovery of Two-Dimensional Magnetic Topological Materials
Chemistry of Materials·2025· 1 cited
Stability and Symmetry-Assured Crystal Structure Generation for Inverse Design of Photocatalysts in Water Splitting
arXiv (Cornell University)·2025Open Access
Accurate prediction of synthesizability and precursors of 3D crystal structures via large language models
Nature Communications·2025· 8 citedOpen Access
Feature-Extended Descriptor Construction for Prediction of Consecutive Elementary Reaction Energies in Methane Oxidation
Chemistry of Materials·2025
Machine Learning Assisted Material Discovery: A Small Data Approach
Accounts of Materials Research·2025· 6 citedOpen Access
Machine Learning Assisted Design of Type-II Two-Dimensional Heterostructures for Photocatalytic Water Splitting
ACS Materials Letters·2025· 4 cited
Inverse design of promising electrocatalysts for CO2 reduction via generative models and bird swarm algorithm
Nature Communications·2025· 32 citedOpen Access
Author Correction: From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learning
Nature Communications·2024Open Access
Is Large Language Model All You Need to Predict the Synthesizability and Precursors of Crystal Structures?
arXiv (Cornell University)·2024· 4 citedOpen Access
From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learning
Nature Communications·2024· 35 citedOpen Access
Inverse Design of Promising Alloys for Electrocatalytic CO$_2$ Reduction via Generative Graph Neural Networks Combined with Bird Swarm Algorithm
arXiv (Cornell University)·2024· 1 citedOpen Access
Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory
Nature Communications·2024· 70 citedOpen Access
CCDC 2193330: Experimental Crystal Structure Determination
Open MIND·2023Open Access
Adaptive Design of Alloys for CO<sub>2</sub> Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search Algorithm
The Journal of Physical Chemistry Letters·2023· 10 cited
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Frequent Co-authors

Jinlan Wang(42), Shuaihua Lu(12), Qiang Li(12), Qian Chen(12), Xianghong Niu(6), Yi Zhang(5), Yilv Guo(5), Yinghe Zhao(5), Chongyi Ling(5), Yilei Wu(5), Heng‐Yun Ye(4), Da‐Wei Fu(4), Ren‐Gen Xiong(4), Yixin Ouyang(4), Shijun Yuan(4), Li Shi(4), Yehui Zhang(4), Yu‐Meng You(3), Wei‐Qiang Liao(3), Yunhai Li(3)