标题
FAIR data enabling new horizons for materials research
作者
关键词
-
出版物
NATURE
Volume 604, Issue 7907, Pages 635-642
出版商
Springer Science and Business Media LLC
发表日期
2022-04-28
DOI
10.1038/s41586-022-04501-x
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Roadmap on Machine Learning in Electronic Structure
- (2022) Heather Kulik et al. Electronic Structure
- OPTIMADE, an API for exchanging materials data
- (2021) Casper W. Andersen et al. Scientific Data
- Design of Metal-Organic Framework Templated Materials Using High-Throughput Computational Screening
- (2020) Momin Ahmad et al. MOLECULES
- Towards Experimental Handbooks in Catalysis
- (2020) Annette Trunschke et al. TOPICS IN CATALYSIS
- Materials Cloud, a platform for open computational science
- (2020) Leopold Talirz et al. Scientific Data
- Computational compound screening of biomolecules and soft materials by molecular simulations
- (2020) Tristan Bereau MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING
- Structure–Activity Relationships That Identify Metal–Organic Framework Catalysts for Methane Activation
- (2019) Andrew S. Rosen et al. ACS Catalysis
- Recent advances in machine learning towards multiscale soft materials design
- (2019) Nicholas E Jackson et al. Current Opinion in Chemical Engineering
- Materials Research in the Information Age
- (2019) Oliver Kraft et al. ADVANCED MATERIALS
- A de novo strategy for predictive crystal engineering to tune excitonic coupling
- (2019) Ritesh Haldar et al. Nature Communications
- Data‐Driven Materials Science: Status, Challenges, and Perspectives
- (2019) Lauri Himanen et al. Advanced Science
- Advances, Updates, and Analytics for the Computation-Ready, Experimental Metal–Organic Framework Database: CoRE MOF 2019
- (2019) Yongchul G. Chung et al. JOURNAL OF CHEMICAL AND ENGINEERING DATA
- Self-diffusion barriers: possible descriptors for dendrite growth in batteries?
- (2018) Markus Jäckle et al. Energy & Environmental Science
- Data-centric science for materials innovation
- (2018) Isao Tanaka et al. MRS BULLETIN
- Computational materials: Open data settled in materials theory
- (2017) Claudia Draxl et al. NATURE
- Universal fragment descriptors for predicting properties of inorganic crystals
- (2017) Olexandr Isayev et al. Nature Communications
- Towards efficient data exchange and sharing for big-data driven materials science: metadata and data formats
- (2017) Luca M. Ghiringhelli et al. npj Computational Materials
- Reproducibility in density functional theory calculations of solids
- (2016) K. Lejaeghere et al. SCIENCE
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
- A general-purpose machine learning framework for predicting properties of inorganic materials
- (2016) Logan Ward et al. npj Computational Materials
- Big Data of Materials Science: Critical Role of the Descriptor
- (2015) Luca M. Ghiringhelli et al. PHYSICAL REVIEW LETTERS
- Multicomponent and High Entropy Alloys
- (2014) Brian Cantor Entropy
- The Stuff of Dreams
- (2013) Gerbrand Ceder et al. SCIENTIFIC AMERICAN
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started