- 著者
- Michiko YOSHITAKE Takashi KONO Takuya KADOHIRA
- 出版者
- Society of Computer Chemistry, Japan
- 雑誌
- Journal of Computer Chemistry, Japan (ISSN:13471767)
- 巻号頁・発行日
- vol.19, no.2, pp.25-35, 2020 (Released:2020-10-27)
- 参考文献数
- 18
- 被引用文献数
- 1
A program for fully automatic conversion of line plots in scientific papers into numerical data has been developed. By the conversion of image data into numerical data, users can treat so-called 'spectra' such as X-ray photoelectron spectra and optical absorption spectra in their purpose, plotting them in different ways such as inverse of wave number, subtracting them from users' data, and so forth. This article reports details of the program consisting of many parts, with several deep-learning models with different functions, elimination of literal characters, color separation, etc. Most deep-learning models achieve accuracy higher than 95%. The usability is demonstrated with some examples.
- 著者
- Satoshi Minamoto Takuya Kadohira Kaita Ito Makoto Watanabe
- 出版者
- The Japan Institute of Metals and Materials
- 雑誌
- MATERIALS TRANSACTIONS (ISSN:13459678)
- 巻号頁・発行日
- vol.61, no.11, pp.2067-2071, 2020-11-01 (Released:2020-10-25)
- 参考文献数
- 14
- 被引用文献数
- 17
The concept of the Materials Integration (MI) has been proposed as a framework to evaluate the performance of structural materials based on the PSPP (Process, Structure, Property, Performance) linkage. In order to solve direct problems for structural materials with complex input and output, this system designs and executes a workflow that enables continuous computation while focusing on data coordination and aggregation, and aggregates data.In the second phase of our project, we will develop an Application Programming Interface (API) to drive the MI-System from external programs so that the MI-System can be used in combination with various algorithms used to solve inverse problems, such as optimization and Bayesian statistical algorithms. In addition, we aim to solve the inverse problem systematically and efficiently by developing a mechanism to effectively utilize the computational resources distributed in various places and to handle large scale computations. This Paper was Originally Published in Japanese in Materia Japan 58 (2019) 511–514.