Accelerated data-driven materials science with the Materials Project
Posted on January 4, 2025
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Kingsbury Research Group
Atomate2: Modular workflows for materials science
Posted on January 2, 2025
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Kingsbury Research Group
A flexible and scalable scheme for mixing computed formation energies from different levels of theory
Posted on September 15, 2022
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Kingsbury Research Group
Screening of bimetallic electrocatalysts for water purification with machine learning
Posted on August 1, 2022
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Kingsbury Research Group
A framework for quantifying uncertainty in DFT energy corrections
Posted on July 29, 2021
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Kingsbury Research Group