为机器学习和人工智能算法发展的化合物的综合质谱映射

IF 1.1 4区化学 Q4 CHEMISTRY, PHYSICAL

Doklady Physical Chemistry Pub Date : 2020-10-16 DOI:10.1134/S0012501620050024

J. V. Burykina, D. A. Boiko, V. V. Ilyushenkova, D. B. Eremin, V. P. Ananikov

引用次数: 2

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Comprehensive Mass Spectrometric Mapping of Chemical Compounds for the Development of Algorithms for Machine Learning and Artificial Intelligence

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Comprehensive Mass Spectrometric Mapping of Chemical Compounds for the Development of Algorithms for Machine Learning and Artificial Intelligence

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来源期刊

Doklady Physical Chemistry 化学-物理化学

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Doklady Physical Chemistry is a monthly journal containing English translations of current Russian research in physical chemistry from the Physical Chemistry sections of the Doklady Akademii Nauk (Proceedings of the Russian Academy of Sciences). The journal publishes the most significant new research in physical chemistry being done in Russia, thus ensuring its scientific priority. Doklady Physical Chemistry presents short preliminary accounts of the application of the state-of-the-art physical chemistry ideas and methods to the study of organic and inorganic compounds and macromolecules; polymeric, inorganic and composite materials as well as corresponding processes. The journal is intended for scientists in all fields of chemistry and in interdisciplinary sciences.