Dane Morgan

University of Wisconsin–Madison — United States

Materials Science · Physical Sciences

78h-index33.9kcitations791works7.22yr avg
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Research Topics

Machine Learning in Materials Science(104), Advancements in Solid Oxide Fuel Cells(86), Magnetic and transport properties of perovskites and related materials(86), Electronic and Structural Properties of Oxides(83), Nuclear Materials and Properties(82)

Publications774 total

Metastable grain boundary sink behavior revealed through deep-learning image analysis
Journal of Nuclear Materials·2025
Compressive Strain-Enhanced Amorphous Thin Film Heterostructures with Superior Stability
ECS Meeting Abstracts·2025
Effects of Yttrium Doping on Oxygen Conductivity in Ba(Fe, Co, Zr, Y)O_{3-δ} Cathode Materials for Proton Ceramic Fuel Cells
arXiv (Cornell University)·2025Open Access
"It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with VLMs
arXiv (Cornell University)·2025Open Access
Tartrate‐Assisted Ionic Layer Epitaxy for General Synthesis of 2D Nanostructures
Small Methods·2025Open Access
Mechanical properties of the meninges: An expansive LLM-assisted systematic review
Materials Today Communications·2025
First-Principles Thermodynamic Assessments of Sr-Containing Secondary Phase Formation in La1-xSrxMnO3±δ Perovskites for Solid Oxide Cell Applications
2025Open Access
Accelerating domain-aware electron microscopy analysis using deep learning models with synthetic data and image-wide confidence scoring
npj Computational Materials·2025· 1 citedOpen Access
SuperSalt: equivariant neural network force fields for multicomponent molten salts system
Nature Communications·2025· 3 citedOpen Access
Radiation damage effects in beryllium for next generation neutrino beam targetry (Final Technical Report)
2025Open Access
Beyond designer's knowledge: Generating materials design hypotheses via a large language model
Acta Materialia·2025· 9 cited
Keeping Artificial Intelligence for Microscopy FAIR: Findable, Accessible, Interoperable, and Reproducible
Microscopy and Microanalysis·2025Open Access
An Overview of Applications of Electron Nanodiffraction to Studying the Structure and Dynamics of Amorphous Solids and Liquids
Microscopy and Microanalysis·2025
Automated extraction of materials system charts using a large language model framework
Scripta Materialia·2025· 2 cited
Mg and native defects in cubic silicon carbide from first principles
Journal of Physics D Applied Physics·2025Open Access
Physical regularized Hierarchical Generative Model for Metallic Glass Structural Generation and Energy Prediction
arXiv (Cornell University)·2025Open Access
Demonstration of partially transparent thick metallic sodium in the vacuum ultraviolet spectral range: comment
Optics Express·2025Open Access
Ultrafast Oxygen Conduction in Sillén Oxychlorides
Chemistry of Materials·2025· 2 cited
A general approach for determining applicability domain of machine learning models
npj Computational Materials·2025· 14 citedOpen Access
Mechanical Properties of the Meninges: Large Language Model Assisted Systematic Review of over 25,000 Studies
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Gerbrand Ceder(14), Yang Shao‐Horn(9), Ryan Jacobs(8), Anton Van der Ven(5), Chris A. Marianetti(5), Stefano Curtarolo(4), Yueh‐Lin Lee(4), Todd R. Allen(4), Fei Zhou(3), Edward F. Holby(3), Julie D. Tucker(3), Milind Gadre(3), Matteo Cococcioni(2), Wenchao Sheng(2), Jesper Kleis(2), Jan Rossmeisl(2), Jonathan Hwang(2), Wei Li(2), Shiqiang Hao(2), Chris Wolverton(2)