Bryce Meredig - Concepedia

Author

Bryce Meredig

Citrine Informatics (United States)ORCID

Also Known As

B Meredig, B. Meredig, Bryce Meredig, Chris Wolverton, Meredig, Bryce

Publications

9.4K

Citations

H-Index

130

Concepts

All Affiliations

Citrine Informatics (United States)Northwestern University Carnegie Mellon University Argonne National Laboratory University of Utah

About

Bryce Meredig is an author at Citrine Informatics (United States) specializing in engineering, materials science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	27	33	8.3K
2	Natural Sciences	9	9	6.1K
3	Management	3	3	162
4	Business	1	1	38
5	Education	1	1	79

Bryce Meredig

Publications

8.8K

Citations

H-Index

Page 1

	Year	Citations
Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD) James E. Saal, Scott Kirklin, Muratahan Aykol, JOM Materials ScienceQuantum ScienceEngineeringPhysicsNatural Sciences	2013	2.4K
The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies Scott Kirklin, James E. Saal, Bryce Meredig, npj Computational Materials EngineeringComputational ChemistryChemistryElectronic StructureSpectra-structure Correlation	2015	2.2K
Combinatorial screening for new materials in unconstrained composition space with machine learning Bryce Meredig, Ankit Agrawal, Scott Kirklin, Physical Review B EngineeringMachine LearningMaterial SimulationMaterial SelectionUnconstrained Composition Space	2014	728
High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds Anton O. Oliynyk, Erin Antono, Taylor D. Sparks, Chemistry of Materials Combinatorial ChemistryCrystal StructureEngineeringOrganic ChemistryChemistry	2016	388
The 2019 materials by design roadmap Kirstin Alberi, Marco Buongiorno Nardelli, Andriy Zakutayev, Journal of Physics D Applied Physics EngineeringDesign RoadmapMaterials PredictionMaterial InnovationMaterial Selection	2018	339
Understanding thermoelectric properties from high-throughput calculations: trends, insights, and comparisons with experiment Wei Chen, Jan-Hendrik Pöhls, Geoffroy Hautier, Journal of Materials Chemistry C EngineeringElectrothermalThermoelectricsComputed Thermoelectric PropertiesChemistry	2016	254
Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery Bryce Meredig, Erin Antono, Carena Church, Molecular Systems Design & Engineering Superconducting MaterialEngineeringMachine LearningMachine Learning ToolData Science	2018	242
Materials science with large-scale data and informatics: Unlocking new opportunities Joanne Hill, Gregory J. Mulholland, Kristin A. Persson, MRS Bulletin	2016	226
Perspective: Web-based machine learning models for real-time screening of thermoelectric materials properties Michael W. Gaultois, Anton O. Oliynyk, Arthur Mar, APL Materials Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolThermoelectrics	2016	213
High‐Throughput Computational Screening of New Li‐Ion Battery Anode Materials Scott Kirklin, Bryce Meredig, Chris Wolverton Advanced Energy Materials EngineeringTransition Metal CompoundsTheoretical Inorganic ChemistryHigh‐throughput Computational ScreeningSolid-state Chemistry	2012	199

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