Sam Daly

Sam Daly

University of California, Santa Barbara

H-index: 31

North America-United States

About Sam Daly

Sam Daly, With an exceptional h-index of 31 and a recent h-index of 27 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of Mechanics of materials, failure analysis, machine learning, fatigue.

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

Acoustic Emission in Ceramic Matrix Composites

Advances in high-pressure laser floating zone growth: The Laser Optical Kristallmacher II (LOKII)

Q-RBSA: high-resolution 3D EBSD map generation using an efficient quaternion transformer network

In situ crack opening displacement growth rates of SiC/SiC ceramic matrix minicomposites

Titanium 3d microstructure for physics-based generative models: a dataset and primer

Trustworthy Machine Learning for Damage Identification in Composites

Nondestructive quantification of single crystal elasticity for additively manufactured SB-CoNi-10C, IN625, and Ti64

Perspective: Machine learning in experimental solid mechanics

Sam Daly Information

University

Position

___

Citations(all)

3086

Citations(since 2020)

1953

Cited By

1788

hIndex(all)

31

hIndex(since 2020)

27

i10Index(all)

55

i10Index(since 2020)

52

Email

University Profile Page

Google Scholar

Sam Daly Skills & Research Interests

Mechanics of materials

failure analysis

machine learning

fatigue

Top articles of Sam Daly

Acoustic Emission in Ceramic Matrix Composites

2024/2/15

Advances in high-pressure laser floating zone growth: The Laser Optical Kristallmacher II (LOKII)

Review of Scientific Instruments

2024/3/1

Q-RBSA: high-resolution 3D EBSD map generation using an efficient quaternion transformer network

npj Computational Materials

2024/1/30

In situ crack opening displacement growth rates of SiC/SiC ceramic matrix minicomposites

Journal of the European Ceramic Society

2023/8/1

Titanium 3d microstructure for physics-based generative models: a dataset and primer

2023/7/28

Trustworthy Machine Learning for Damage Identification in Composites

2023/6/5

Nondestructive quantification of single crystal elasticity for additively manufactured SB-CoNi-10C, IN625, and Ti64

NDT & E International

2023/4/1

Perspective: Machine learning in experimental solid mechanics

Journal of the Mechanics and Physics of Solids

2023/4/1

Quantitative benchmarking of acoustic emission machine learning frameworks for damage mechanism identification

Integrating Materials and Manufacturing Innovation

2023/3

LOKII project: Advances in high-pressure laser floating zone growth

arXiv preprint arXiv:2311.03671

2023/11/7

Perspective: large language models in applied mechanics

Journal of Applied Mechanics

2023/10/1

Dark field X-ray microscopy below liquid-helium temperature: The case of NaMnO2

Materials Characterization

2023/10/1

Adaptable physics-based super-resolution for electron backscatter diffraction maps

npj Computational Materials

2022/12/15

The effects of microstructure on deformation twinning in Mg WE43

Materials Science and Engineering: A

2022/11/24

Single crystal elastic constants of additively manufactured components determined by resonant ultrasound spectroscopy

Materials Characterization

2022/10/1

Deformation twinning and detwinning in extruded Mg-4Al: In-situ experiment and crystal plasticity simulation

International Journal of Plasticity

2022/8/1

3d grain shape generation in polycrystals using generative adversarial networks

Integrating Materials and Manufacturing Innovation

2022/3

Examining the role of water vapor on small fatigue crack growth behavior in Ti-6242S using ultrasonic fatigue and scanning electron microscopy

International Journal of Fatigue

2022/3/1

Non-Destructive Determination of Single Crystal Elastic Constants in AM Alloys Using Resonant Ultrasound Spectroscopy

2022/2/27

Study of Crystal Defects Using Dark-Field X-ray Microscopy Combined with High-Energy Diffraction Microscopy and Computer Vision

APS March Meeting Abstracts

2022

See List of Professors in Sam Daly University(University of California, Santa Barbara)

Co-Authors

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