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New Method Predicts Nuclear Power Plant Operating Parameters Based on Pre-trained Large Language Models
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Researchers Realize Strong Bonding Between China Low Activation Martensitic Steel and Oxide Dispersion Strengthened Alloy
Recently, a research team led by Prof. HUANG Qunying from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, together wit...
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Researchers Enhance CLAM Steel Performance Using Rare-Earth Oxides
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SERS-Based Deep Learning Model Developed for Precise Detection of Serum Tumor Biomarkers
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Clean Yo-Yo Nanoparticles Boost SERS Sensitivity
A research team led by Prof. YANG Liangbao from the Institute of Nuclear Safety Technology,Hefei Institutes of Physical Science,Chinese Academy of...
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Researchers Identify Key to Enhancing Corrosion Resistance in Lead-Cooled Reactors
Researchers at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, have revealed the atomic-scale mechanism by which chrom...
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Researchers Reveal the Influence of Initial Structure of Y2Ti2O7 on Structure and Tensile Properties of ODS-CLAM Steel
Recently, researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences elucidated the structural evolution of Y2T...
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