Chris Wolverton
Materials Chemistry · 2000–2021
A researcher in the Science corpus: 46 papers; trusts 30 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 652 citations into it; #652 of 11,513 by trust here, #313 by citations
- Electrical and Electronic Engineering — 181 citations into it; #12,105 of 16,539 by trust here, #1,139 by citations
- Atomic and Molecular Physics, and Optics — 121 citations into it
- Mechanical Engineering — 112 citations into it; #1,327 of 8,300 by trust here, #1,824 by citations
- Civil and Structural Engineering — 95 citations into it
- Computational Theory and Mathematics — 71 citations into it; #7,584 of 12,182 by trust here, #2,931 by citations
- Computational Chemistry & Drug Discovery — 65 citations into it
- Inorganic Chemistry — 62 citations into it; #334 of 820 by trust here, #138 by citations
Whom Chris Wolverton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Chris Wolverton overall
- Jian Peng
- Tsai-Fu Chung
- Dane Morgan
- Shuncai Wang
- S. Bahl
- Yo-Lun Yang
- Logan T. Ward
- S. Andersen
- Ryan Jacobs
- A. Shyam
Papers from Chris Wolverton's perspective
Ordered by how strongly the researchers Chris Wolverton trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- I and J
- Deep Learning
- 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
- Improving neural networks by preventing co-adaptation of feature detectors
- On the importance of initialization and momentum in deep learning
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
Their papers
- Ultralow thermal conductivity and high thermoelectric figure of merit in SnSe crystals (2014) — 4,569 citations
- Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD) (2013) — 2,264 citations
- A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials (2016) — 1,611 citations
- Combinatorial screening for new materials in unconstrained composition space with machine learning (2014) — 576 citations
- Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations (2017) — 297 citations
- High thermoelectric performance of p-type SnTe via a synergistic band engineering and nanostructuring approach. (2014) — 603 citations
- The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies (2015) — 2,219 citations
- Crystal structure and stability of complex precipitate phases in Al–Cu–Mg–(Si) and Al–Zn–Mg alloys (2001) — 426 citations
- ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition (2018) — 460 citations
- Extraordinary role of Hg in enhancing the thermoelectric performance of p-type SnTe (2015) — 273 citations
- Pd2Se3 Monolayer: A Promising Two-Dimensional Thermoelectric Material with Ultralow Lattice Thermal Conductivity and High Power Factor (2018) — 133 citations
- High-Throughput Computational Screening of Perovskites for Thermochemical Water Splitting Applications (2016) — 219 citations
- All-scale hierarchical thermoelectrics: MgTe in PbTe facilitates valence band convergence and suppresses bipolar thermal transport for high performance (2013) — 680 citations
- High capacity hydrogen storage materials: attributes for automotive applications and techniques for materials discovery. (2010) — 1,056 citations
- Atomistic calculations and materials informatics: A review (2017) — 217 citations
- First-principles study of crystal structure and stability of Al-Mg-Si-(Cu) precipitates (2004) — 372 citations
- Metallurgical and Materials Transactions. A: Foreword (2011) — 9,939 citations
- First-principles study of binary bcc alloys using special quasirandom structures (2004) — 271 citations
- Ultrathin Lithium-Ion Conducting Coatings for Increased Interfacial Stability in High Voltage Lithium-Ion Batteries (2014) — 203 citations
- Defect ordering in aliovalently doped cubic zirconia from first principles (2001) — 176 citations