The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Materials Application Programming Interface (API): A simple, flexible and efficient API for materials data based on REpresentational State Transfer (REST) principles
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Cites
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
Jain, A., Ong, S. P., Hautier, G., Chen, W., Richards, W. D., Dacek, S., Cholia, S., Gunter, D., Skinner, D., Ceder, G., et al. (2013) · APL Materials · doi:10.1063/1.4812323 · Cited by 13,094
Self-citationPython Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
Ong, S. P., Richards, W. D., Jain, A., Hautier, G., Kocher, M., Cholia, S., Gunter, D., Chevrier, V. L., Persson, K. A., & Ceder, G. (2013) · Computational Materials Science · doi:10.1016/j.commatsci.2012.10.028 · Cited by 4,534
Self-citationComputational high-throughput screening of electrocatalytic materials for hydrogen evolution
Greeley, J., Jaramillo, T. F., Bonde, J., Chorkendorff, I., & Nørskov, J. K. (2006) · Nature Materials · doi:10.1038/nmat1752 · Cited by 4,097
Python for scientific computing
Oliphant, T. E. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.58 · Cited by 3,303
Hautier, G., Fischer, C. C., Jain, A., Mueller, T., & Ceder, G. (2010) · Chemistry of Materials · doi:10.1021/cm100795d · Cited by 580
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Cited by
First-principles Phonon Calculations with Phonopy and Phono3py
Togo, A. (2023) · Journal of the Physical Society of Japan · doi:10.7566/jpsj.92.012001 · Cited by 1,865
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Chen, C., Ye, W., Zuo, Y., Zheng, C., & Ong, S. P. (2019) · Chemistry of Materials · doi:10.1021/acs.chemmater.9b01294 · Cited by 1,552
Self-citationA Critical Review of Machine Learning of Energy Materials
Chen, C., Zuo, Y., Ye, W., Li, X., Deng, Z., & Ong, S. P. (2020) · Advanced Energy Materials · doi:10.1002/aenm.201903242 · Cited by 609
Self-citationThe MLIP package: moment tensor potentials with MPI and active learning
Novikov, I. S., Gubaev, K., Podryabinkin, E. V., & Shapeev, A. V. (2021) · Machine Learning: Science and Technology · doi:10.1088/2632-2153/abc9fe · Cited by 587
Dunn, A., Wang, Q., Ganose, A., Dopp, D., & Jain, A. (2020) · npj Computational Materials · doi:10.1038/s41524-020-00406-3 · Cited by 411
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Metadata
- Authors
- Ong, S. P., Cholia, S., Jain, A., Brafman, M., Gunter, D., Ceder, G., & Persson, K. A.
- Venue
- Computational Materials Science
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 97
- Pages
- 209-215
- ISSN
- 0927-0256 (ISSN-L)
- OpenAlex
- W2109939806
- Cited by
- 480
- References
- 6
- FWCI
- 7.74
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: The Materials Application Programming Interface (API): A simple, flexible and efficient API for materials data based on REpresentational State Transfer (REST) principles. https://app.cochat.ai/papers/10.1016/j.commatsci.2014.10.037
- The paper
- Ong, S. P., Cholia, S., Jain, A., Brafman, M., Gunter, D., Ceder, G., & Persson, K. A. (2015). The Materials Application Programming Interface (API): A simple, flexible and efficient API for materials data based on REpresentational State Transfer (REST) principles. Computational Materials Science. https://doi.org/10.1016/j.commatsci.2014.10.037
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.