91 citations · 245 across the 9 of their papers we have counts for
9 papers
Illustrating an Effective Workflow for Accelerated Materials Discovery
Mrinalini Mulukutla, A. Nicole Person, Sven Voigt +26
Algorithmic materials discovery is a multi-disciplinary domain that integrates insights from specialists in alloy design, synthesis, characterization, experimental methodologies, c…
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…
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…
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…
The interactions of same-row oxygen vacancies on rutile TiO(110)
B. B. Kappes, W. B. Maddox, D. P. Acharya +2
Based on a dipolar-elastic model for oxygen vacancies on rutile (110), we evaluated analytically the overall energy of a periodic array of two vacancies and extracted the interacti…
Growth Structure and Work Function of Bilayer Graphene on Pd(111)
Y. Murata, S. Nie, A. Ebnonnasir +5
Using in situ low-energy electron microscopy and density functional theory, we studied the growth structure and work function of bilayer graphene on Pd(111). Low-energy electron di…