Anubhav Jain
Materials Chemistry · 2001–2021
A researcher in the Science corpus: 45 papers; trusts 24 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 409 citations into it; #1,121 of 11,513 by trust here, #398 by citations
- Electrical and Electronic Engineering — 252 citations into it; #7,526 of 16,539 by trust here, #889 by citations
- Global and Planetary Change — 107 citations into it; #5,918 of 10,225 by trust here, #3,540 by citations
- Automotive Engineering — 71 citations into it
- Computational Chemistry & Drug Discovery — 56 citations into it
- Renewable Energy, Sustainability and the Environment — 54 citations into it; #2,095 of 5,212 by trust here, #874 by citations
- Atmospheric Science — 41 citations into it
- Biomedical Engineering — 38 citations into it
Whom Anubhav Jain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shyue Ping Ong
- Gerbrand Ceder
- Geoffroy Hautier
- J. Clifton‐Brown
- Fernando Pérez
- Brian E. Granger
- Stefano Curtarolo
- Madhu Khanna
- W. Setyawan
- J. Perdew
Who trusts Anubhav Jain overall
- Shyue Ping Ong
- Chi Chen
- Geoffroy Hautier
- K. Mathew
- Xingfeng He
- Yizhou Zhu
- Yihan Xiao
- Zhenbin Wang
- Adelaide M. Nolan
- Gerbrand Ceder
Papers from Anubhav Jain's perspective
Ordered by how strongly the researchers Anubhav Jain trusts endorse each paper. Same corpus, a different order for every researcher.
- 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Deep Learning
- Improving neural networks by preventing co-adaptation of feature detectors
- ImageNet classification with deep convolutional neural networks
- Efficient Estimation of Word Representations in Vector Space
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- I and J
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Distributed computing in practice: the Condor experience (Concurrency Practice and Experience)
Their papers
- Voltage, stability and diffusion barrier differences between sodium-ion and lithium-ion intercalation materials (2011) — 1,318 citations
- Commentary: The Materials Project: A materials genome approach to accelerating materials innovation (2013) — 11,833 citations
- Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature (2019) — 297 citations
- Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis (2012) — 4,050 citations
- Data mined ionic substitutions for the discovery of new compounds. (2011) — 389 citations
- Finding Nature’s Missing Ternary Oxide Compounds Using Machine Learning and Density Functional Theory (2010) — 514 citations
- Effective mass and Fermi surface complexity factor from ab initio band structure calculations (2017) — 203 citations
- Unsupervised word embeddings capture latent knowledge from materials science literature (2019) — 1,028 citations
- Computational predictions of energy materials using density functional theory (2016) — 787 citations
- Understanding thermoelectric properties from high-throughput calculations: trends, insights, and comparisons with experiment (2016) — 185 citations
- Accuracy of density functional theory in predicting formation energies of ternary oxides from binary oxides and its implication on phase stability (2012) — 375 citations
- The thermodynamic scale of inorganic crystalline metastability (2016) — 823 citations
- The Materials Application Programming Interface (API): A simple, flexible and efficient API for materials data based on REpresentational State Transfer (REST) principles (2015) — 449 citations
- Accelerating Electrolyte Discovery for Energy Storage with High-Throughput Screening. (2015) — 309 citations
- Phosphates as Lithium-Ion Battery Cathodes: An Evaluation Based on High-Throughput ab Initio Calculations (2011) — 410 citations
- Charting the complete elastic properties of inorganic crystalline compounds (2015) — 958 citations
- Matminer: An open source toolkit for materials data mining (2018) — 925 citations
- Best practices in machine learning for chemistry (2021) — 384 citations
- Formation enthalpies by mixing GGA and GGA + U calculations (2011) — 921 citations
- FireWorks: a dynamic workflow system designed for high‐throughput applications (2015) — 539 citations