Applications of high throughput (combinatorial) methodologies to electronic, magnetic, optical, and energy-related materials
By Martin L. Green, Ichiro Takeuchi, Jason Hattrick-Simpers. 2013
242 citations recorded by the source corpus.
Subfields: Catalysis, Materials Chemistry
View Paper: https://www.semanticscholar.org/paper/e53283ddf408098428452f49adc4ce937a347ea5
How researchers see this paper
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In Catalysis
In Materials Chemistry
- Daniel B. Miracle
- Oleg N. Senkov
- Logan T. Ward
- Christopher Woodward
- Chris Wolverton
- Michael D. Uchic
- Evan Ma
- Yongqiang Q. Cheng
Citations in the corpus
- Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments (2018, background): “The vastness of the combined composition-processing space makes searches based on serial trial-and-error experimentation difficult and expensive; even rapid parallel synthesis combined with highthroughput characterization (HiTp experimentation) (7) can stall without additional guidance.”
- Exploration and Development of High Entropy Alloys for Structural Applications (2014, background): “High-throughput, combinatorial experiments are a mainstay in several fields for rapid materials discovery, screening, evaluation and development [63–67].”
- A critical review of high entropy alloys and related concepts (2016, background): “Many of these are taken from a current review of highthroughput experiments [339].”