Bryce Meredig
Materials Chemistry · 2010–2017
A researcher in the Science corpus: 8 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 116 citations into it; #5,709 of 11,513 by trust here, #2,491 by citations
- Electrical and Electronic Engineering — 37 citations into it; #14,420 of 16,539 by trust here, #3,951 by citations
- Artificial Intelligence — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Bryce Meredig trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bryce Meredig overall
Papers from Bryce Meredig's perspective
Ordered by how strongly the researchers Bryce Meredig trusts endorse each paper. Same corpus, a different order for every researcher.
- Visualizing Data using t-SNE
- Bayesian Experimental Design: A Review
- Active Learning with Statistical Models
- A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
- Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
- 014: On the "Probable Error" of a Coefficient of Correlation Deduced from a Small Sample.
- BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD) (2013) — 2,264 citations
- Understanding thermoelectric properties from high-throughput calculations: trends, insights, and comparisons with experiment (2016) — 185 citations
- Combinatorial screening for new materials in unconstrained composition space with machine learning (2014) — 576 citations
- The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies (2015) — 2,219 citations
- High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates (2017) — 178 citations
- High‐Throughput Computational Screening of New Li‐Ion Battery Anode Materials (2013) — 172 citations
- High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds (2016) — 346 citations
- Method for locating low-energy solutions within DFT+U (2010) — 197 citations