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RESEARCH ARTICLE · Artificial Intelligence Chemistry · 2024

Synchrotron radiation data-driven artificial intelligence approaches in materials discovery

Qingmeng Li, Rongchang Xing, Linshan Li, Haodong Yao, Liyuan Wu, Lina Zhao

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Synchrotron radiation data-driven artificial intelligence approaches in materials discoveryOriginalMultidisciplinary and multiscale nanoscience research roadmap based on large scientific facilities5In situ/Operando Investigation for Heterogeneous Electro-Catalysts: From Model Catalysts to State-of-the-Art Catalysts91The Use of Artificial Intelligence in Building Engineering for Historic Buildings Built in the Austro-Hungarian Monarchy2AI-driven advances in metal–organic frameworks: from data to design and applications47Urea oxidation catalysts: a review on non-metallic enhancements in nickel-based electrocatalysts19Machine learning insights into the strain-stress behavior of nitinol alloys at low temperatures: Utilizing the orange data mining tool1Morphology reconstruction from experimental small-angle x-ray scattering patterns by physics-aware neural network3Benchmarking deep learning for automated peak detection on GIWAXS data5Comprehensive Understanding of the Structural Modulation Principles for Highly Efficient Photoelectrochemical/Photocatalytic Processes via X‐Ray Absorption Spectroscopy1Cutting‐Edge Optimization Strategies and In Situ Characterization Techniques for Urea Oxidation Reaction Catalysts: A Comprehensive Review98A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research5Strengths and limitations of various analytical methods for all-solid state microbatteries0Atomic-scale characterization: a review of advances in microscopy, spectroscopy, and machine learning11Interpretable X-ray diffraction spectra analysis using confidence evaluated deep learning enhanced by template element replacement6Toward standardized, AI-driven multi-modal battery characterization: a review of neutron and synchrotron strategies across scales3A survey of AI-supported materials informatics7Application of Synchrotron Radiation Based X‐Ray Diffraction in Zeolite Research: Advanced Analysis from Atomic Structure to Dynamic Behavior3In Situ and Operando Characterization Techniques for In‐Depth Understanding of Hybrid Water Electrolysis6Artificial Intelligence As a Driver of Modern Science: from Biomedicine to International Megascience Projects0Sustainable silk fibroin scaffolds for bone repair: assessing their osteogenic potential via AI-enhanced synchrotron imaging workflow0A Review on Synchrotron Radiation Use in Metallic Ore Deposit Research0The Projection Onto Data Plane0Artificial intelligence integration in materials science2Artificial Intelligence As a Driver of Modern Science: From Biomedicine to International Megascience Projects0Contribution of Individual Harmonics to the Power of Circularly Polarized Synchrotron Radiation0Decoding polymer nano-heterogeneity: Deep-learning-driven extraction of nanostructural parameters from SAXS data0Towards high-performance halide electrolytes: Data-driven approaches for materials design and synthesis2Assessment of Metallic Materials using Synchrotron X-ray CT0AI for science: Progress, challenges, and perspectives2Artificial intelligence-assisted design and optimization of radiation shielding materials for medical applications0

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  14. Interpretable X-ray diffraction spectra analysis using confidence evaluated deep learning enhanced by template element replacement

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  15. Toward standardized, AI-driven multi-modal battery characterization: a review of neutron and synchrotron strategies across scales

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