5 citations · 10 across the 7 of their papers we have counts for
5 papers · 1 filter
A BRAVE Alloy Design Campaign (Bayesian Risk-aware Alloy discoVery and Exploration)
Mrinalini Mulukutla, Danial Khatamsaz, Trevor Hastings +23
In constrained alloy optimization, the compositions with the highest performance potential often reside at the boundary of phase stability -- where the risk of experimental failure…
AIMD-L: An automated laboratory for high-throughput characterization of structural materials for extreme environments
Todd C. Hufnagel, Pranav Addepalli, Anuruddha Bhattacharjee +14
Rapid developments in artificial intelligence and machine learning as applied to materials science are creating an urgent need for experimental data, which can be provided by high-…
Automated laboratory x-ray diffractometer and fluorescence spectrometer for high-throughput materials characterization
Hyun Sang Park, Timothy Long, Michael Wall +8
The increasing importance of artificial intelligence and machine learning in materials research has created demand for automated, high-throughput characterization techniques capabl…
Weyl-Luttinger phase transition in pyrochlore iridates revealed by Raman scattering
Predrag Nikolić, Yuanyuan Xu, Takumi Ohtsuki +2
Pyrochlore iridates are thought to be a fertile ground for the realization of topologically non-trivial and strongly correlated states of matter. Here we provide a compelling evide…
Community Action on FAIR Data will Fuel a Revolution in Materials Research
LC Brinson, LM Bartolo, B Blaiszik +4
Data - arguably the most important product of worldwide materials research investment - are rarely shared. The small and biased proportion of results published are buried in plots…