activity
20162025
most citedFatigue-resistant high-performance elastocaloric materials via additive manufacturing

444 citations · 691 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CR2025★ 2 cited

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels

Twisha Chattopadhyay, Fabricio Ceschin, Marco E. Garza +5

The 3D printing industry is rapidly growing and increasingly adopted across various sectors including manufacturing, healthcare, and defense. However, the operational setup often i…

cond-mat.mtrl-sci2020

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

Sean H. Mills, Christopher Dellacorte, Ronald D. Noebe +2

The tribological performance and underlying deformation behavior of Ni55Ti45, Ni54Ti45Hf1 and Ni56Ti36Hf8 alloys were studied using rolling contact fatigue (RCF) testing and transm…

cond-mat.mtrl-sci2020

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

Sean H. Mills, Christopher Dellacorte, Ronald D. Noebe +3

The effects of various heat treatments on the microstructure and hardness of new Ni56Ti41Hf3 and Ni56Ti36Hf8 (atomic %) alloys were studied to evaluate the suitability of these mat…

physics.app-ph2020★ 11 cited

Machine Learning for Materials Developments in Metals Additive Manufacturing

N. S. Johnson, P. S. Vulimiri, A. C. To +4

In metals additive manufacturing (AM), materials and components are concurrently made in a single process as layers of metal are fabricated on top of each other in the near-final t…

cond-mat.mtrl-sci2020

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

Sen Liu, Branden B. Kappes, Behnam Amin-ahmadi +3

Machine learning (ML) is shown to predict new alloys and their performances in a high dimensional, multiple-target-property design space that considers chemistry, multi-step proces…

physics.app-ph2019★ 91 cited

Knowledge of Process-Structure-Property Relationships to Engineer Better Heat Treatments for Laser Powder Bed Fusion Additive Manufactured Inconel 718

Thomas G. Gallmeyer, Senthamilaruvi Moorthy, Branden B. Kappes +3

Dislocation structures, chemical segregation, {γ^{\prime}, {γ^{\prime \prime}}, δ precipitates and Laves phase were quantified within the microstructures of Inconel 718 (IN718) pro…