Dane Morgan

Dane Morgan

University of Wisconsin-Madison

H-index: 75

North America-United States

About Dane Morgan

Dane Morgan, With an exceptional h-index of 75 and a recent h-index of 54 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of materials.

His recent articles reflect a diverse array of research interests and contributions to the field:

How close are the classical two-body potentials to ab initio calculations? Insights from linear machine learning based force matching

Machine Learning Design of Perovskite Catalytic Properties

Direct evidence of low work function on SrVO cathode using thermionic electron emission microscopy and high-field ultraviolet photoemission spectroscopy

Foundry-ML-Software and Services to Simplify Access to Machine Learning Datasets in Materials Science

Triple_Conducting_Perovskite_Defect_Model

Deep-Learning-Based Segmentation of Keyhole in In-Situ X-ray Imaging of Laser Powder Bed Fusion

Extracting accurate materials data from research papers with conversational language models and prompt engineering

Time dependence of SrVO3 thermionic electron emission properties

Dane Morgan Information

University

Position

Materials Science

Citations(all)

26527

Citations(since 2020)

12403

Cited By

18910

hIndex(all)

75

hIndex(since 2020)

54

i10Index(all)

259

i10Index(since 2020)

207

Email

University Profile Page

University of Wisconsin-Madison

Google Scholar

View Google Scholar Profile

Dane Morgan Skills & Research Interests

materials

Top articles of Dane Morgan

Title

Journal

Author(s)

Publication Date

How close are the classical two-body potentials to ab initio calculations? Insights from linear machine learning based force matching

The Journal of Chemical Physics

Zheng Yu

Ajay Annamareddy

Dane Morgan

Bu Wang

2024/2/7

Machine Learning Design of Perovskite Catalytic Properties

Advanced Energy Materials

Ryan Jacobs

Jian Liu

Harry Abernathy

Dane Morgan

2024/2/6

Direct evidence of low work function on SrVO cathode using thermionic electron emission microscopy and high-field ultraviolet photoemission spectroscopy

arXiv preprint arXiv:2404.04226

Md Sariful Sheikh

Lin Lin

Ryan Jacobs

Martin E Kordesch

Jerzy T Sadowski

...

2024/4/5

Foundry-ML-Software and Services to Simplify Access to Machine Learning Datasets in Materials Science

Journal of Open Source Software

Kj Schmidt

Aristana Scourtas

Logan Ward

Steve Wangen

Marcus Schwarting

...

2024/1/23

Triple_Conducting_Perovskite_Defect_Model

Yueh-Lin Lee

Yuhua Duan

Dan Sorescu

Wissam Saidi

Thomas Kalapos

...

2024/3/26

Deep-Learning-Based Segmentation of Keyhole in In-Situ X-ray Imaging of Laser Powder Bed Fusion

Materials

William Dong

Jason Lian

Chengpo Yan

Yiran Zhong

Sumanth Karnati

...

2024/1/21

Extracting accurate materials data from research papers with conversational language models and prompt engineering

Nature Communications

Maciej P Polak

Dane Morgan

2024/2/21

Time dependence of SrVO3 thermionic electron emission properties

Journal of Applied Physics

Md Sariful Sheikh

Ryan Jacobs

Dane Morgan

John Booske

2024/2/7

Benchmark tests of atom segmentation deep learning models with a consistent dataset

Microscopy and Microanalysis

Jingrui Wei

Ben Blaiszik

Aristana Scourtas

Dane Morgan

Paul M Voyles

2023/4/1

Physical factors governing the shape of the Miram curve knee in thermionic emission

IEEE Transactions on Electron Devices

Dongzheng Chen

Ryan Jacobs

Dane Morgan

John Booske

2023/2/6

Density Functional Theory Based Monte Carlo Simulations for Prediction of Secondary Electron Yield from Metal Oxides

RE Gutierrez

I Matanovic

M Polak

D Morgan

J Booske

...

2023/5/21

New Family of Interstitial Oxygen Ion Conductor Discovered By High-Throughput Computational Screening

Electrochemical Society Meeting Abstracts 243

Jun Meng

Md Sariful Sheikh

Ryan Jacobs

Jian Liu

William O Nachlas

...

2023/8/28

Machine learning for interpreting coherent X-ray speckle patterns

Computational Materials Science

Mingren Shen

Dina Sheyfer

Troy David Loeffler

Subramanian KRS Sankaranarayanan

G Brian Stephenson

...

2023/10/25

Announcing 2023 TPS Best Paper Award

IEEE Transactions on Plasma Science

Steven J Gitomer

David Chernin

YY Lau

John J Petillo

Serguei Ovtchinnikov

...

2023/12

Materials swelling revealed through automated semantic segmentation of cavities in electron microscopy images

Scientific Reports

Ryan Jacobs

Priyam Patki

Matthew J Lynch

Steven Chen

Dane Morgan

...

2023/3/30

Defect Thermodynamic Modeling of Triple Conducting Perovskites (La, Ba) Fe1-xMxO3-δ for Proton-Conducting Solid-Oxide Cells

ECS Transactions

Yueh-Lin Lee

Yuhua Duan

Dan C Sorescu

Wissam A Saidi

Dane Morgan

...

2023/5/19

In situ observation of medium range ordering and crystallization of amorphous TiO2 ultrathin films grown by atomic layer deposition

APL Materials

Mehrdad Abbasi

Yutao Dong

Jun Meng

Dane Morgan

Xudong Wang

...

2023/1/1

Layered Monoclinic Perrierite Oxo-Silicate La4Mn5Si4O22+Δ: A New Interstitial Oxide Ion Conductor for Low Temperature Applications

Electrochemical Society Meeting Abstracts 243

Md Sariful Sheikh

Jun Meng

Ryan Jacobs

Jian Liu

William O Nachlas

...

2023/8/28

Time-dependence of SrVO thermionic electron emission properties

arXiv e-prints

Md Sariful Sheikh

Ryan Jacobs

Dane Morgan

John Booske

2023/10

Deep Learning Approach for High-accuracy Electron Counting of Monolithic Active Pixel Sensor-type Direct Electron Detectors at Increased Electron Dose

Microscopy and Microanalysis

Jingrui Wei

Kalani Moore

Benjamin Bammes

Barnaby DA Levin

Nicholas Hagopian

...

2023/12

See List of Professors in Dane Morgan University(University of Wisconsin-Madison)

Co-Authors

H-index: 129
Yang Shao-Horn

Yang Shao-Horn

Massachusetts Institute of Technology

H-index: 40
Izabela Szlufarska

Izabela Szlufarska

University of Wisconsin-Madison

H-index: 25
Ryan Jacobs

Ryan Jacobs

University of Wisconsin-Madison

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