A Biased Monte Carlo Scheme for Zeolite Structure Solution
Marco Falcioni, Michael W. Deem (UCLA Chemical Engineering)

TL;DR
This paper introduces a biased Monte Carlo method combined with parallel tempering to accurately determine zeolite crystal structures from powder diffraction data, successfully applied to all known cases.
Contribution
The paper presents a novel biased Monte Carlo approach enhanced by parallel tempering for zeolite structure solution from powder diffraction data.
Findings
Successfully solved all tested zeolite structures.
Parallel tempering improves the Monte Carlo scheme.
Method outperforms previous approaches.
Abstract
We describe a new, biased Monte Carlo scheme to determine the crystal structures of zeolites from powder diffraction data. We test the method on all publicly known zeolite materials, with success in all cases. We show that the method of parallel tempering is a powerful supplement to the biased Monte Carlo.
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