Aaron Stebner

Aaron Stebner

Georgia Institute of Technology

H-index: 27

North America-United States

About Aaron Stebner

Aaron Stebner, With an exceptional h-index of 27 and a recent h-index of 26 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Additive Manufacturing, Machine Learning, Solid Mechanics, Diffraction, Crystallography.

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

Direct measurement of the effective properties of an additively manufactured titanium octet truss unit cell using high energy X-ray diffraction

Mechanisms of Shock Strength Exhibited by a Nickel‐Rich Nickel‐Titanium‐Hafnium Alloy

The atomic structure and mechanisms of formation of some geometrically incompatible interfaces within cubic B2 austenite–monoclinic B19′ martensite shape memory alloy …

Infusible thermoplastic composites for wind turbine blade manufacturing: Static characterization of thermoplastic laminates under ambient conditions

Machine learning for materials science: Barriers to broader adoption

Estimation of single crystal elastic constants in low symmetry materials using neutron diffraction

Announcing the Shape Memory and Superelasticity 2022 Editor’s Choice Selections

Pre-strain and mean strain effects on the fatigue behavior of superelastic nitinol medical devices

Aaron Stebner Information

University

Position

Associate Professor

Citations(all)

2741

Citations(since 2020)

2243

Cited By

1191

hIndex(all)

27

hIndex(since 2020)

26

i10Index(all)

55

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Aaron Stebner Skills & Research Interests

Additive Manufacturing

Machine Learning

Solid Mechanics

Diffraction

Crystallography

Top articles of Aaron Stebner

Direct measurement of the effective properties of an additively manufactured titanium octet truss unit cell using high energy X-ray diffraction

Materials Characterization

2024/2/17

Mechanisms of Shock Strength Exhibited by a Nickel‐Rich Nickel‐Titanium‐Hafnium Alloy

Advanced Engineering Materials

2023/11

The atomic structure and mechanisms of formation of some geometrically incompatible interfaces within cubic B2 austenite–monoclinic B19′ martensite shape memory alloy …

Materials Characterization

2023/10/1

Infusible thermoplastic composites for wind turbine blade manufacturing: Static characterization of thermoplastic laminates under ambient conditions

Composites Part C: Open Access

2023/7/1

Machine learning for materials science: Barriers to broader adoption

Matter

2023/5/3

Estimation of single crystal elastic constants in low symmetry materials using neutron diffraction

2023/3/20

Announcing the Shape Memory and Superelasticity 2022 Editor’s Choice Selections

2023

Pre-strain and mean strain effects on the fatigue behavior of superelastic nitinol medical devices

2022/6

Aerospace, energy recovery, and medical applications: shape memory alloy case studies for CASMART 3rd student design challenge

Shape Memory and Superelasticity

2022/6

Plastic deformation mechanisms that explain hot-rolling textures in Nickel–Titanium

International Journal of Plasticity

2022/6/1

High-performance elastocaloric materials and methods for producing and using the same

2022/5/19

The roles of kinematic constraint and diffusion in non-equilibrium solid state phase transformations of Ti-6Al-4V

Applied Physics Letters

2022/4/25

SMST 2022 Organizing Committee

2022

Aaron Stebner
Aaron Stebner

H-Index: 18

Rolling contact fatigue deformation mechanisms of nickel-rich nickel-titanium-hafnium alloys

Acta Materialia

2021/5/1

Heat treatment–microstructure–hardness relationships of new nickel-rich nickel-titanium-hafnium alloys developed for tribological applications

Materialia

2021/5/1

Superelastic devices made from NiTiHf alloys using powder metallurgical techniques

2021/4/22

Machine learning for knowledge transfer across multiple metals additive manufacturing printers

Additive Manufacturing

2021/3/1

Physics-informed machine learning for composition–process–property design: Shape memory alloy demonstration

Applied Materials Today

2021/3/1

IACMI Project 4.2: Thermoplastic Composite Development for Wind Turbine Blades

2021/12/7

Aaron Stebner
Aaron Stebner

H-Index: 18

See List of Professors in Aaron Stebner University(Georgia Institute of Technology)

Co-Authors

academic-engine