# Synthesis parameter effect detection using quantitative representations and high dimensional distribution distances

arXiv: https://arxiv.org/abs/2304.01120 · HTML: https://mlsanity.com/paper/2304.01120/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 19 references that are in the map.
- First posted on arXiv 3 Apr 2023.

## Builds on (most cited first, 2 of 2)

- [Revisiting Classifier Two-Sample Tests](https://mlsanity.com/paper/1610.06545/) (2016)
- [Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance](https://mlsanity.com/paper/2106.13706/) (2021)

## Abstract (arXiv)

Detection of effects of the parameters of the synthetic process on the microstructure of materials is an important, yet elusive goal of materials science. We develop a method for detecting effects based on copula theory, high dimensional distribution distances, and permutational statistics to analyze a designed experiment synthesizing plutonium oxide from Pu(III) Oxalate. We detect effects of strike order and oxalic acid feed on the microstructure of the resulting plutonium oxide, which match the literature well. We also detect excess bivariate effects between the pairs of acid concentration, strike order and precipitation temperature.