Searching for Hidden Perovskite Materials for Photovoltaic Systems by Combining Data Science and First Principle Calculations-Reference-Cited by-同舟云学术

Searching for Hidden Perovskite Materials for Photovoltaic Systems by Combining Data Science and First Principle Calculations

Published:2018-01-07 Issue:3 Volume:5 Page:771-775
ISSN:2330-4022
Container-title:ACS Photonics
language:en
Short-container-title:ACS Photonics

Author:

Takahashi Keisuke¹^ORCID,Takahashi Lauren²^ORCID,Miyazato Itsuki³,Tanaka Yuzuru¹

Affiliation:

1. Center for Materials research by Information Integration (CMI2), National Institute for Materials Science (NIMS), 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047, Japan

2. Freelance Researcher, Central Ward, Sapporo 064, Japan

3. Graduate School of Engineering, Hokkaido University, N-13, W-8, Sapporo 060-8628, Japan

Funder

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Publisher

American Chemical Society (ACS)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Biotechnology,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acsphotonics.7b01479

Reference23 articles.

1. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

2. Materials informatics: a journey towards material design and synthesis

3. Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases

4. Role of descriptors in predicting the dissolution energy of embedded oxides and the bulk modulus of oxide-embedded iron

5. Big Data of Materials Science: Critical Role of the Descriptor

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