1 citations · 1 across the 5 of their papers we have counts for
5 papers
Towards Informatics-Driven Design of Nuclear Waste Forms
Vinay I. Hegde, Miroslava Peterson, Sarah I. Allec +11
Informatics-driven approaches, such as machine learning and sequential experimental design, have shown the potential to drastically impact next-generation materials discovery and d…
Efficient pooling designs and screening performance in group testing for two type defectives
Hiroyasu Matsushima, Yusuke Tajima, Xiao-Nan Lu +1
Group testing is utilized in the case when we want to find a few defectives among large amount of items. Testing n items one by one requires n tests, but if the ratio of defectives…
Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming ability
Sarah I. Allec, Xiaonan Lu, Daniel R. Cassar +8
Glasses form the basis of many modern applications and also hold great potential for future medical and environmental applications. However, their structural complexity and large c…
A remark on statistics for detecting laboratory effects in ORDANOVA
Jun-ichi Takeshita, Yuto Arai, Mayu Ogawa +2
The present study defines a new statistic for detecting laboratory effects in the analysis of ordinal variation (ORDANOVA). The ORDANOVA is an analysis method similar to one-way an…
Further Results on Existentially Closed Graphs Arising from Block Designs
Xiao-Nan Lu
A graph is -existentially closed (-e.c.) if for any disjoint subsets , of vertices with , there is a vertex adjacent to every verte…