基于“大数据+人工智能”的凝聚态物质研究应用示范——文献自动识别

  这是一个利用“大数据+人工智能”自动检索并判断文献的介绍,我们做这个系统是为了减少大家阅读文献时间。

  下图获取判断的流程,首先我们从以下期刊获取24h更新的文献,再利用基于tensorflow的NLP模型进行分类。

  自然语言处理已经广泛地应用于我们的日常,如同类型新闻的推荐是基于余弦定理的基础上判断相似性,多款互联网app和网站也是依据相似性向用户推荐产品。

  当我说一句话,比如就这句话,我们可以分成:“当”,“我”,“说”,“一”,“句”,“话”这几个字/词,然后利用语料库将其转换成向量。

  当我们有向量时,就可以用一些数学方法判断两者距离或者夹角,一般我们认为距离越近,加角越小,两者相似性越高。这也是机器学习的核心思想,只不过现在很多模型都是黑箱模型,我们可能不知道与之比较的基准长什么样,但是我们只需要知道两者相似性即可。

 

  以下是支持的杂志,如果有其他需求如增加杂志或者修改类型,请邮件至:wusiyuan18@mails.ucas.ac.cn

物理所四刊:

Chinese Physics Letters
Chinese Physics B
物理学报

APS出版社:

Physical Review Letters
Physical Review X
PRX Energy
PRX Quantum
Reviews of Modern Physics
Physical Review A
Physical Review B
Physical Review E
Physical Review Research
Physical Review Applied
Physical Review Materials

ACS出版社:

Accounts of Chemical Research
Accounts of Materials Research
ACS Applied Energy Materials
ACS Applied Materials & Interfaces
ACS Applied Nano Materials
ACS Central Science
ACS Energy Letters
ACS Materials Letters
ACS Nano
Analytical Chemistry
Chemical Reviews
Chemistry of Materials
Energy & Fuels
JACS Au
Journal of Chemical Information and Modeling
Journal of Chemical Theory and Computation
The Journal of Physical Chemistry A
The Journal of Physical Chemistry B
The Journal of Physical Chemistry C
The Journal of Physical Chemistry Letters
Journal of the American Chemical Society
Inorganic Chemistry
Nano Letters

IOP出版社:

Applied Physics Express
Chinese Physics B
Chinese Physics Letters
ECS Advances
ECS Journal of Solid State Science and Technology
Europhysics Letters
Inverse Problems
Journal of Physics D: Applied Physics
Journal of Physics: Condensed Matter
Journal of Physics: Energy
Journal of The Electrochemical Society
Machine Learning: Science and Technology
Materials Futures
Materials Research Express
Modelling and Simulation in Materials Science and Engineering
Nano Express
Nano Futures
Nanotechnology
New Journal of Physics
Progress in Energy

Nature出版社:

Nature
Nature Catalysis
Nature Chemistry
Nature Computational Science
Nature Energy
Nature Machine Intelligence
Nature Materials
Nature Nanotechnology
Nature Physics
Nature Reviews Chemistry
Nature Reviews Materials
Nature Reviews Physics
Nature Sustainability
Nature Communications
npj Computational Materials
npj Quantum Information
npj Quantum Materials
Scientific Data
Communications Chemistry
Communications Materials
Communications Physics

Science出版社:

Science
Science Advances

Elsevier出版社:

Acta Materialia
Cell Reports Physical Science
Chem
Chemical Physics
Chemical Physics Letters
Chinese Chemical Letters
Current Applied Physics
Electrochemistry Communications
Electrochimica Acta
EnergyChem
Energy Storage Materials
Inorganic Chemistry Communications
iScience
Joule
Journal of Alloys and Compounds
Journal of Electroanalytical Chemistry
Journal of Energy Chemistry
Journal of Materiomics
Journal of Solid State Chemistry
Materials Today
Matter
Nano Energy
Physica C: Superconductivity and its Applications
Progress in Materials Science
Results in Chemistry
Science Bulletin
Solid State Communications
Solid State Sciences
The Innovation
Trends in Chemistry

RSC出版社:

Chemical Communications
Chemical Science
Chemical Society Reviews
Dalton Transactions
Energy & Environmental Science
Energy Advances
Green Chemistry
Inorganic Chemistry Frontiers
Journal of Materials Chemistry A
Materials Advances
Materials Chemistry Frontiers
Materials Horizons
Nanoscale
Nanoscale Advances
Nanoscale Horizons
New Journal of Chemistry
Physical Chemistry Chemical Physics
RSC Advances
Sustainable Energy & Fuels

Wiley出版社:

Advanced Energy Materials
Advanced Functional Materials
Advanced Materials
Advanced Science
Angewandte Chemie
Energy Technology
small
physica status solidi

致谢参与人员:

  项目支持:基于“大数据+人工智能”的凝聚态物质研究应用示范,负责人:中国科学院物理研究所 T03组 翁红明研究员。

  网站支持:中国科学院计算机网络信息中心 张宝花;中国科学院物理研究所 T03组 罗锋博士

  模型构建:中国科学院物理所 E01组 李泓研究员,肖睿娟副研究员,吴思远,王宇琦

  超导模型标记:中国科学院物理所 SC02组 袁洁研究员,涂思佳

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