170 citations · 320 across the 22 of their papers we have counts for
4 papers · 1 filter
Performance-driven Computational Design of Multi-terminal Compositionally Graded Alloy Structures using Graphs
Marshall D. Allen, Vahid Attari, Brent Vela +3
The spatial control of material placement afforded by metal additive manufacturing (AM) has enabled significant progress in the development and implementation of compositionally gr…
Decoding Non-Linearity and Complexity: Deep Tabular Learning Approaches for Materials Science
Vahid Attari, Raymundo Arroyave
Materials data, especially those related to high-temperature properties, pose significant challenges for machine learning models due to extreme skewness, wide feature ranges, modal…
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…
Accelerated Multi-Objective Alloy Discovery through Efficient Bayesian Methods: Application to the FCC Alloy Space
Trevor Hastings, Mrinalini Mulukutla, Danial Khatamsaz +14
This study introduces BIRDSHOT, an integrated Bayesian materials discovery framework designed to efficiently explore complex compositional spaces while optimizing multiple material…