Elizabeth A. Holm

Elizabeth A. Holm

Carnegie Mellon University

H-index: 49

North America-United States

About Elizabeth A. Holm

Elizabeth A. Holm, With an exceptional h-index of 49 and a recent h-index of 35 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of computational materials science, microstructural science, microstructural evolution, computer vision, data science.

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

Extreme abnormal grain growth: connecting mechanisms to microstructural outcomes

Predicting fatigue crack growth metrics from fractographs: Towards fractography by computer vision

Grain boundary migration in polycrystals

Powder Bed Fusion

Parallel simulation via SPPARKS of on-lattice kinetic and Metropolis Monte Carlo models for materials processing

On the variability of grain boundary mobility in the isoconfigurational ensemble

Instance Segmentation for Occluded Particles

Exploring the trade-off between performance and annotation complexity in semantic segmentation

Elizabeth A. Holm Information

University

Position

___

Citations(all)

8673

Citations(since 2020)

4567

Cited By

5723

hIndex(all)

49

hIndex(since 2020)

35

i10Index(all)

94

i10Index(since 2020)

65

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Elizabeth A. Holm Skills & Research Interests

computational materials science

microstructural science

microstructural evolution

computer vision

data science

Top articles of Elizabeth A. Holm

Title

Journal

Author(s)

Publication Date

Extreme abnormal grain growth: connecting mechanisms to microstructural outcomes

Carl E Krill III

Elizabeth A Holm

Jules M Dake

Ryan Cohn

Karolína Holíková

...

2023/7/3

Predicting fatigue crack growth metrics from fractographs: Towards fractography by computer vision

International Journal of Fatigue

Katelyn Jones

William D Musinski

Adam L Pilchak

Reji John

Paul A Shade

...

2023/12/1

Grain boundary migration in polycrystals

Gregory S Rohrer

Ian Chesser

Amanda R Krause

S Kiana Naghibzadeh

Zipeng Xu

...

2023/2/28

Powder Bed Fusion

Additive manufacturing technologies

Ian Gibson

David Rosen

Brent Stucker

Mahyar Khorasani

Ian Gibson

...

2021

Parallel simulation via SPPARKS of on-lattice kinetic and Metropolis Monte Carlo models for materials processing

Modelling and Simulation in Materials Science and Engineering

John A Mitchell

Fadi Abdeljawad

Corbett Battaile

Cristina Garcia-Cardona

Elizabeth A Holm

...

2023/5/9

On the variability of grain boundary mobility in the isoconfigurational ensemble

Acta Materialia

Anqi Qiu

Ian Chesser

Elizabeth Holm

2023/9/15

Instance Segmentation for Occluded Particles

Kyle Farmer

Ryan Cohn

Elizabeth Holm

2023/1/1

Exploring the trade-off between performance and annotation complexity in semantic segmentation

Engineering Applications of Artificial Intelligence

Marta Fernández-Moreno

Bo Lei

Elizabeth A Holm

Pablo Mesejo

Raúl Moreno

2023/8/1

ANTICIPATING THE WAVE: TMS Study Examines Potential of Artificial Intelligence

JOM

Elizabeth Holm

2023

Recent advances and applications of deep learning methods in materials science

Kamal Choudhary

Brian DeCost

Chi Chen

Anubhav Jain

Francesca Tavazza

...

2022/4/5

A taxonomy of grain boundary migration mechanisms via displacement texture characterization

Acta Materialia

Ian Chesser

Brandon Runnels

Elizabeth Holm

2022/1/1

A transfer learning approach for improved classification of carbon nanomaterials from TEM images

Nanoscale Advances

Qixiang Luo

Elizabeth A Holm

Chen Wang

2021

Tailoring disorder and quality of photonic glass templates for structural coloration by particle charge interactions

ACS applied materials & interfaces

Yen Häntsch

Guoliang Shang

Bo Lei

Benedikt Winhard

Alexander Petrov

...

2021/4/20

Prediction of Inclusion Types From BSE Images: RF vs. CNN

Frontiers in Materials

Mohammad Abdulsalam

Nan Gao

Bryan A Webler

Elizabeth A Holm

2021/10/18

Microstructure generation via generative adversarial network for heterogeneous, topologically complex 3d materials

Jom

Tim Hsu

William K Epting

Hokon Kim

Harry W Abernathy

Gregory A Hackett

...

2021/1

Survey of shear coupling behavior in fcc ni and bcc fe grain boundaries

Materialia

Tingting Yu

Ian Chesser

Sutatch Ratanaphan

Elizabeth Holm

Sen Yang

...

2021/3/1

Hierarchically structured classification of carbon nanostructures from TEM images by machine learning and computer vision

Microscopy and Microanalysis

Chen Wang

Qixiang Luo

Elizabeth Holm

2021/8

Computer vision and machine learning to quantify microstructure

AM&P Technical Articles

Elizabeth A Holm

Ryan Cohn

Nan Gao

Andrew R Kitahara

Bo Lei

...

2021/2/1

Machine‐Learning Microstructure for Inverse Material Design

Advanced Science

Zongrui Pei

Kyle A Rozman

Ömer N Doğan

Youhai Wen

Nan Gao

...

2021/12

Instance segmentation for direct measurements of satellites in metal powders and automated microstructural characterization from image data

Jom

Ryan Cohn

Iver Anderson

Tim Prost

Jordan Tiarks

Emma White

...

2021/7

See List of Professors in Elizabeth A. Holm University(Carnegie Mellon University)