Jacob Pellicotte
Engineering · The Ohio State University
Publications
16
Citations
51
Est. group size
~2
Recurring co-author estimate
Active years
6
Publishing since 2019
Jacob Pellicotte's research focuses on how metals and composite materials behave under high heat and long-term stress, particularly the slow deformation process called 'creep' that occurs in materials exposed to prolonged heat and load, such as those used in power plants. This work involves developing mathematical models to predict how alloys like low-chrome steels and materials like Sanicro 25 and HR6W will hold up over time, as well as studying the mechanical strength of carbon-fiber-reinforced composite materials at high temperatures.
Publication output has been modest but relatively steady over the past several years, with a slight uptick in 2024 following a period of consistent low-volume output since 2019.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Application of a modified hyperbolic sine creep rate equation to correlate uniaxial creep data vs. stress and temperature for creep resistant low chrome steel alloys
Materials at High Temperatures · 2022
- Mechanical Properties of High-Temperature Fiber-Reinforced Thermoset Composites with Plain Weave and Unidirectional Carbon Fiber Fillers
Journal of Composites Science · 2022
- Application of a modified hyperbolic sine creep rate equation to correlate uniaxial creep rupture data of Sanicro 25 and HR6W
Materials at High Temperatures · 2020
- Journal of Engineering for Gas Turbines and Power×3
- Materials at High Temperatures×2
- Materials Science and Engineering A×1
- Materials Performance and Characterization×1
- Journal of Composites Science×1
- Md Abir Hossain
Engineering · The Ohio State University
- Calvin M. Stewart
Engineering · The Ohio State University
- J. K. Tien
Engineering · Purdue University West Lafayette
- Milan Heczko
Engineering · The Ohio State University
- Thomas Mann
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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