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D

Dane Morgan

University of California, Berkeley

78H-index
795Paper Count
3.4WCitation Count
Published Papers 240
Publication Date
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A molecular dynamics study on local structural features and thermophysical properties of the NaCl-UCl3 molten salt with machine learning potential
errJournal of Molecular Liquids
IF5.2
err2026-05-05
err0
PREAI
errSudipta Paul; Siamak Attarian; David Andersson; Dane Morgan; Izabela Szlufarska
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Prediction of Ionic Conductivity in Solid-State Electrolytes Using Machine Learning
errMaterials Today Communications
IF4.5
err2026-05-03
err0
errOAAI
errYounsoo Kim; Maciej P Polak; Dane Morgan
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errSave
Metastable grain boundary sink behavior revealed through deep-learning image analysis
errJournal of Nuclear Materials
IF3.2
err2025-12-10
err0
PREAI
errEmily Hopkins Mang; Annie K. Barnett; Sicong He; James E. Nathaniel; Ryan Jacobs; Dane Morgan; Michael Falk; Jaime Marian; Mitra L. Taheri
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Tartrate-Assisted Ionic Layer Epitaxy for General Synthesis of 2D Nanostructures
errSmall Methods
IF9.1
err2025-11-02
err0
errOAAI
errZiyi Zhang; Derui Wang; Maciej P. Polak; Corey Carlos; Yutao Dong; Dane Morgan; Xudong Wang
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errSave
Mechanical properties of the meninges: An expansive LLM-assisted systematic review
errMaterials Today Communications
IF4.5
err2025-10-10
err0
PREAI
errBrandon P. Chelstrom; Maciej P. Polak; Dane Morgan; Corinne R. Henak
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Accelerating domain-aware electron microscopy analysis using deep learning models with synthetic data and image-wide confidence scoring
errnpj Computational Materials
IF11.9
err2025-08-13
err0
errOAAI
errM. J. Lynch; R. Jacobs; G. A. Bruno; P. Patki; D. Morgan; K. G. Field
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errSave
SuperSalt: equivariant neural network force fields for multicomponent molten salts system
errNature Communications
IF15.7
err2025-08-07
err0
errOAAI
errChen Shen; Siamak Attarian; Yixuan Zhang; Hongbin Zhang; Mark Asta; Izabela Szlufarska; Dane Morgan
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Predictive screening of phase stability in high-entropy ceramics
errMater. Adv.
IF4.7
err2025-07-28
err0
errOAAI
errMuhammad Waqas Qureshi; Shuguang Wei; Longfei Liu; Sudipta Paul; Jun Young Kim; Chuan Zhang; Xudong Wang; John H. Perepezko; Dane Morgan; Izabela Szlufarska
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Keeping Artificial Intelligence for Microscopy FAIR: Findable, Accessible, Interoperable, and Reproducible
errMicroscopy and Microanalysis
IF3
err2025-07-25
err0
errOAAI
errJingrui Wei; Ryan Jacobs; Ben Blaiszik; K J Schmidt; Dane Morgan; Paul M Voyles
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An Overview of Applications of Electron Nanodiffraction to Studying the Structure and Dynamics of Amorphous Solids and Liquids
errMicroscopy and Microanalysis
IF3
err2025-07-25
err0
PREAI
errShuoyuan Huang; Carter Francis; Po-Cheng Kung; Ajay Annamareddy; Dane Morgan; Paul M Voyles
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Beyond designer's knowledge: Generating materials design hypotheses via a large language model
errActa Materialia
IF9.3
err2025-07-04
err0
PREAI
errQuanliang Liu; Maciej P. Polak; So Yeon Kim; MD Al Amin Shuvo; Hrishikesh Shridhar Deodhar; Jeongsoo Han; Dane Morgan; Hyunseok Oh
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Automated extraction of materials system charts using a large language model framework
errScripta Materialia
IF5.6
err2025-06-20
err0
PREAI
errQuanliang Liu; Maciej P Polak; MD Al Amin Shuvo; Hrishikesh Shridhar Deodhar; Jeongsoo Han; Dane Morgan; Hyunseok Oh
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Predicting performance of object detection models in electron microscopy using random forests
errDIGITAL DISCOVERY
IF5.6
err2025-03-01
err0
errOAAI
errLi, Ni; Jacobs, Ryan; Lynch, Matthew; Agrawal, Vidit; Field, Kevin; Morgan, Dane
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Best practices for fitting machine learning interatomic potentials for molten salts: A case study using NaCl-MgCl2
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2025-01-01
err1
errOAAI
errAttarian, Siamak; Shen, Chen; Morgan, Dane; Szlufarska, Izabela
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Accelerating ensemble uncertainty estimates in supervised materials property regression models
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2025-01-01
err0
PREAI
errAgrawal, Vidit; Zhang, Shixin; Schultz, Lane E.; Morgan, Dane
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Thermodynamic Modeling of Point Defects in Triple Conducting Perovskite Ba0.95La0.05FeO3-δ with Incorporation of the Hydride Defect Formation Reaction for Solid Oxide Cells
errJOURNAL OF THE ELECTROCHEMICAL SOCIETY
IF3.3
err2024-12-27
err0
errOAAI
errLee, Yueh-Lin; Duan, Yuhua; Sorescu, Dan C.; Saidi, Wissam A.; Morgan, Dane; Epting, William K.; Hackett, Gregory; Abernathy, Harry W.
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Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2024-12-02
err1
errOAAI
errJacobs, Ryan; Schultz, Lane E.; Scourtas, Aristana; Schmidt, K. J.; Price-Skelly, Owen; Engler, Will; Foster, Ian; Blaiszik, Ben; Voyles, Paul M.; Morgan, Dane
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errSave
Setting standards for data driven materials science
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2024-10-01
err0
errOAAI
errButler, Keith T.; Choudhary, Kamal; Csanyi, Gabor; Ganose, Alex M.; Kalinin, Sergei V.; Morgan, Dane
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errSave
Computational discovery of fast interstitial oxygen conductors
errNATURE MATERIALS
IF38.5
err2024-06-13
err2
errOAAI
errMeng, Jun; Sheikh, Md Sariful; Jacobs, Ryan; Liu, Jian; Nachlas, William O.; Li, Xiangguo; Morgan, Dane
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errSave
Direct evidence of low work function on SrVO3 cathode using thermionic electron emission microscopy and high-field ultraviolet photoemission spectroscopy
errAPL MATERIALS
IF4.5
err2024-06-05
err0
errOAAI
errSheikh, Md Sariful; Lin, Lin; Jacobs, Ryan; Kordesch, Martin E.; Sadowski, Jerzy T.; Charpentier, Margaret; Morgan, Dane; Booske, John
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Research Directions

No research directions
Co-authors
Cooperation Journals
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P. Jackson
H-index: 184 · Papers: 4.3K
S
S. De Cecco
H-index: 176 · Papers: 3.2K
A
A. Clark
H-index: 173 · Papers: 3.3K
E
E. Ros
H-index: 173 · Papers: 2.4K
S
S. M. Gibson
H-index: 172 · Papers: 2.8K
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