Bayesian estimation to identify crystalline phase structures for X-ray diffraction pattern analysis
R Murakami, Y Matsushita, K Nagata… - … and Technology of …, 2024 - Taylor & Francis
Crystalline phase structure is essential for understanding the performance and properties of
a material. Therefore, this study identified and quantified the crystalline phase structure of a …
a material. Therefore, this study identified and quantified the crystalline phase structure of a …
New insights into the crystallization of polymorphic materials: from real-time serial crystallography to luminescence analysis
P Lindenberg, LR Arana, LK Mahnke… - Reaction Chemistry & …, 2019 - pubs.rsc.org
Detailed analysis of reaction mechanisms by in situ techniques are important for detecting
metastable intermediates, analysing polymorphic transitions and thereby for the discovery of …
metastable intermediates, analysing polymorphic transitions and thereby for the discovery of …
Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data
R Murakami, TT Sasaki, H Yoshikawa… - … and Technology of …, 2024 - Taylor & Francis
To advance the development of materials through data-driven scientific methods,
appropriate methods for building machine learning (ML)-ready feature tables from measured …
appropriate methods for building machine learning (ML)-ready feature tables from measured …
Improved data analysis with IVAS 4 and AP suite
DA Reinhard, TR Payne, EM Strennen… - Microscopy and …, 2019 - cambridge.org
CAMECA® is in the process of re-structuring its ISdbTM, IVASTM, and DAVisTM programs
for atom probe tomography (APT). The currently separate programs are being brought …
for atom probe tomography (APT). The currently separate programs are being brought …
Rapid and Robust construction of an ML-ready peak feature table from X-ray diffraction data using Bayesian peak-top fitting
R Murakami, TT Sasaki, H Yoshikawa… - arxiv preprint arxiv …, 2024 - arxiv.org
To advance the development of materials through data-driven scientific methods,
appropriate methods for building machine learning (ML)-ready feature tables from measured …
appropriate methods for building machine learning (ML)-ready feature tables from measured …
Bayesian approach to automatic mass-spectrum peak identification in atom probe tomography
Identification of mass-spectrum peaks is an indispensable step of an atom-probe
tomography reconstruction process and can be a time-consuming procedure, vulnerable to …
tomography reconstruction process and can be a time-consuming procedure, vulnerable to …
X 線回折パターンにおけるベイズ推定を用いた結晶相の自動同定
村上諒 - 日本結晶学会誌, 2024 - jstage.jst.go.jp
現状の多くの回折パターン解析では, まず微分ピーク検出と手動操作により,
ピークの割り当てを行う. そして, データベースにある膨大な結晶相の候補の中から研究者の経験 …
ピークの割り当てを行う. そして, データベースにある膨大な結晶相の候補の中から研究者の経験 …
Bayesian approaches to uncertainty quantification and structure refinement from X-ray diffraction
This chapter introduces classical frequentist and Bayesian inference applied to analyzing
diffraction profiles, and the methods are compared and contrasted. The methods are applied …
diffraction profiles, and the methods are compared and contrasted. The methods are applied …
[PDF][PDF] Reaction Chemistry & Engineering
KR Beyerlein, H Terraschke - pdfs.semanticscholar.org
Detailed analysis of reaction mechanisms by in situ techniques are important for detecting
metastable intermediates, analysing polymorphic transitions and thereby for the discovery of …
metastable intermediates, analysing polymorphic transitions and thereby for the discovery of …