Semi-Supervised Approach to Phase Identification from Combinatorial Sample Diffraction Patterns

Generalized machine learning technique for automatic phase attribution in time variant high-throughput experimental studies

(2015) Jonathan Kenneth Bunn et al.   JOURNAL OF MATERIALS RESEARCH

The Materials Super Highway: Integrating High-Throughput Experimentation into Mapping the Catalysis Materials Genome

(2014) Jason Hattrick-Simpers et al.   CATALYSIS LETTERS

Identification of optimal solar fuel electrocatalysts via high throughput in situ optical measurements

(2014) Aniketa Shinde et al.   JOURNAL OF MATERIALS RESEARCH

On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets

(2014) Aaron Gilad Kusne et al.   Scientific Reports

The high-throughput highway to computational materials design

(2013) Stefano Curtarolo et al.   NATURE MATERIALS

AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations

(2012) Stefano Curtarolo et al.   COMPUTATIONAL MATERIALS SCIENCE

The Computational Materials Repository

(2012) David D. Landis et al.   COMPUTING IN SCIENCE & ENGINEERING

Development of a High-Throughput Methodology for Screening Coking Resistance of Modified Thin-Film Catalysts

(2012) Kaijian Yang et al.   ACS Combinatorial Science

The ferromagnetic shape memory system Fe–Pd–Cu

(2010) S. Hamann et al.   ACTA MATERIALIA

Principal component analysis and dimensional analysis as materials informatics tools to reduce dimensionality in materials science and engineering

(2009) Krishna Rajan et al.   Statistical Analysis and Data Mining

A reliable methodology for high throughput identification of a mixture of crystallographic phases from powder X-ray diffraction data

(2008) Laurent Allan Baumes et al.   CRYSTENGCOMM