Zekun Ren

Shandong University of Technology — China

Materials Science · Physical Sciences

20h-index2.4kcitations87works0.42yr avg
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Research Topics

Machine Learning in Materials Science(33), solar cell performance optimization(23), Chalcogenide Semiconductor Thin Films(19), Perovskite Materials and Applications(14), Silicon and Solar Cell Technologies(9)

Publications87 total

Dual-modality colorimetric and electrochemiluminescence biosensor integrated portable devices for Staphylococcus aureus detection
Microchemical Journal·2025
Oxygen evolution reaction driven co-reactant-free antifouling electrochemiluminescence sensor based on electrocatalytic macromolecular heterocyclic compounds/electrically neutral hydrogel
Food Chemistry·2025· 2 cited
Energy Underprediction from Symmetry in Machine-Learning Interatomic Potentials
arXiv (Cornell University)·2025Open Access
Self-calibrating ratiometric aptasensor for simultaneous detection of Cd(II) and Vibrio parahaemolyticus on a needle electrode platform
Food Bioscience·2025
Label-free potential-resolved electrochemiluminescence sensor based on CeO2-Au catalysed hydrogen peroxide for detection of dual food-borne pathogens
Electrochimica Acta·2025· 1 cited
Kill two birds with one stone: Dual-modality colorimetric and electrochemiluminescence biosensor integrated portable devices for Staphylococcus aureus detection
SSRN Electronic Journal·2025Open Access
Intelligent Exploration and Development of Oil and Gas Fields Within the Framework of Digital Transformation Scene Design Research
2024
Transfer Learning for Material Parameter Extraction from Current-Voltage Characteristics of Solar Cells
SSRN Electronic Journal·2024Open Access
Correction: Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films
Digital Discovery·2024· 1 citedOpen Access
Transfer learning for material parameter extraction from current-voltage characteristics of solar cells
Research Square (Research Square)·2023· 2 citedOpen Access
Autonomous experiments using active learning and AI
Nature Reviews Materials·2023· 52 cited
Fast Bayesian optimization of Needle-in-a-Haystack problems using zooming memory-based initialization (ZoMBI)
npj Computational Materials·2023· 31 citedOpen Access
First-principles study of size effects on electrical properties of AlN/GaN heterostructured nanofilms
Computational Materials Science·2023· 5 cited
Predicting Synthesizability using Machine Learning on Databases of Existing Inorganic Materials
ACS Omega·2023· 27 citedOpen Access
Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films
Digital Discovery·2023· 9 citedOpen Access
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Figshare·2023Open Access
Research on modular design method of stroller based on Kansei Engineering
International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022)·2022
Identification of chemical compositions from “featureless” optical absorption spectra: Machine learning predictions and experimental validations
Nano Research·2022· 21 cited
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization
Research Square (Research Square)·2022· 1 citedOpen Access
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)
arXiv (Cornell University)·2022· 3 citedOpen Access
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Frequent Co-authors

Tonio Buonassisi(44), Siyu Tian(21), Ian Marius Peters(17), Felipe Oviedo(16), Shijing Sun(15), Qianxiao Li(15), Armin G. Aberle(14), Kedar Hippalgaonkar(13), Daniil Bash(10), Zhe Liu(9), J. Senthilnath(9), Flore Mekki‐Berrada(8), Saif A. Khan(8), Noor Titan Putri Hartono(7), Xiaonan Wang(7), Fen Lin(7), Mariya Layurova(6), Wai Kuan Wong(6), Qiaohao Liang(6), Rolf Stangl(6)