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Aakash Ashok Naik1,2, Christina Ertural1, Nidal Dhamrait1
1Federal Institute for Materials Research and Testing, Department Materials Chemistry, Berlin, 12205, Germany.
了解化学键是材料科学的关键. 这项研究使用VASP和LOBSTER软件分析1520个化合物的结合,创建了一个改进机器学习材料特性预测的数据库.
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07:24Quantitative Atomic-Site Analysis of Functional Dopants/Point Defects in Crystalline Materials by Electron-Channeling-Enhanced Microanalysis
Published on: May 10, 2021
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