Shyue Ping Ong
Materials Chemistry · 2008–2022
A researcher in the Science corpus: 45 papers; trusts 58 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 669 citations into it; #603 of 11,513 by trust here, #382 by citations
- Electrical and Electronic Engineering — 439 citations into it; #1,060 of 16,539 by trust here, #448 by citations
- Atomic and Molecular Physics, and Optics — 212 citations into it
- Computational Theory and Mathematics — 129 citations into it; #6,588 of 12,182 by trust here, #1,983 by citations
- Computational Chemistry & Drug Discovery — 126 citations into it; #422 of 425 by trust here, #266 by citations
- Automotive Engineering — 121 citations into it; #2,671 of 3,081 by trust here, #292 by citations
- Inorganic Chemistry — 85 citations into it; #166 of 820 by trust here, #96 by citations
- Electronic, Optical and Magnetic Materials — 79 citations into it
Whom Shyue Ping Ong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anubhav Jain
- Gerbrand Ceder
- Geoffroy Hautier
- J. Perdew
- Alexander V. Shapeev
- Stefan Chmiela
- Jochen Heyd
- J. Behler
- Chi Chen
- A. P. Bart'ok
Who trusts Shyue Ping Ong overall
- Adelaide M. Nolan
- Gerbrand Ceder
- A. Urban
- Anubhav Jain
- Yizhou Zhu
- Yifei Mo
- Chi Chen
- Geoffroy Hautier
- Xingfeng He
- Zhenbin Wang
Papers from Shyue Ping Ong's perspective
Ordered by how strongly the researchers Shyue Ping Ong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Learning
- Improving neural networks by preventing co-adaptation of feature detectors
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
- Accurate Force Field for Molybdenum by Machine Learning Large Materials Data (2017) — 129 citations
- Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis (2012) — 4,050 citations
- Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals (2018) — 1,359 citations
- A Performance and Cost Assessment of Machine Learning Interatomic Potentials. (2019) — 807 citations
- Design principles for solid-state lithium superionic conductors. (2015) — 1,274 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
- A universal graph deep learning interatomic potential for the periodic table (2022) — 1,004 citations
- Probing Solid–Solid Interfacial Reactions in All-Solid-State Sodium-Ion Batteries with First-Principles Calculations (2018) — 180 citations
- First Principles Study of the Li10GeP2S12 Lithium Super Ionic Conductor Material (2012) — 705 citations
- Li−Fe−P−O2 Phase Diagram from First Principles Calculations (2008) — 751 citations
- Accelerating Electrolyte Discovery for Energy Storage with High-Throughput Screening. (2015) — 309 citations
- Insights into Diffusion Mechanisms in P2 Layered Oxide Materials by First-Principles Calculations (2014) — 177 citations
- Phosphates as Lithium-Ion Battery Cathodes: An Evaluation Based on High-Throughput ab Initio Calculations (2011) — 410 citations
- Hybrid density functional calculations of redox potentials and formation energies of transition metal compounds (2010) — 280 citations
- Thermal stabilities of delithiated olivine MPO4 (M = Fe, Mn) cathodes investigated using first principles calculations (2010) — 270 citations
- A Facile Mechanism for Recharging Li2O2 in Li–O2 Batteries (2013) — 199 citations