Brenna M. Gibbons

Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery

Bryce Meredig, Erin Antono, Carena Church et al. · Molecular Systems Design & Engineering · 2018 · 242 citations · Full text

Superconducting Material, Engineering, Machine Learning +22

Application of Nanoparticle Antioxidants to Enable Hyperstable Chloroplasts for Solar Energy Harvesting

Ardemis A. Boghossian, Fatih Şen, Brenna M. Gibbons et al. · Advanced Energy Materials · 2013 · 118 citations · Full text

Engineering, Energy Conversion, Photobiology +20

Overcoming data scarcity with transfer learning

Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons et al. · arXiv (Cornell University) · 2017 · 79 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Nitride or Oxynitride? Elucidating the Composition–Activity Relationships in Molybdenum Nitride Electrocatalysts for the Oxygen Reduction Reaction

Melissa E. Kreider, Michaela Burke Stevens, Yunzhi Liu et al. · Chemistry of Materials · 2020 · 78 citations · Full text

Copper Silver Thin Films with Metastable Miscibility for Oxygen Reduction Electrocatalysis in Alkaline Electrolytes

Drew Higgins, Melissa Wette, Brenna M. Gibbons et al. · ACS Applied Energy Materials · 2018 · 52 citations · Full text

Engineering, Electrode-electrolyte Interface, Metastable Miscibility +18