1929
DOI: 10.1021/ed006p2097
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The historical development and theory of ammonia synthesis

Abstract: Among the numerous catalytic processes of industry, there is hardly one which has brought so much attention and profit to the study of catalysis as the ammonia synthesis. In a period of twenty years, it has advanced from a state of mere empiricism and fruitless speculation to one of scientific study and technical realization. This development has been described frequently in the past years.1 The introductory researches by Nernst and the fundamental work of Haber in conjunction with the Badische Anilin und Soda… Show more

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Cited by 12 publications
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“…Catalyst materials may contain numerous elements and additional variables such as support material, particle size, dispersion, and loadingthis results in a combinatorial explosion of possibilities. High-throughput testing typically focuses on the composition of catalyst materials and seeks to test as many catalyst compositions as possible. This is a highly efficient version of the Edisonian trial-and-error approach through which catalysts have been developed for over a century, ,, and requires specialized setups (e.g., parallel reactors or printed catalysts) and rapid approaches for monitoring activity (e.g., thermal or FTIR product detection). ,, Needless to say, high-throughput combinatorial studies generate a tremendous amount of data, which presents an informatics challenge. For this reason, high-throughput studies were early adopters of machine learning and data science techniques, and several informatics frameworks have been proposed to manage high-throughput catalytic data. ,,, Reviews of high-throughput catalyst testing have been published previously, so here we focus primarily on applications of informatics techniques for searching through the high-dimensional space and machine-learning approaches for identifying patterns in the data.…”
Section: From Data To Knowledgementioning
confidence: 99%
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“…Catalyst materials may contain numerous elements and additional variables such as support material, particle size, dispersion, and loadingthis results in a combinatorial explosion of possibilities. High-throughput testing typically focuses on the composition of catalyst materials and seeks to test as many catalyst compositions as possible. This is a highly efficient version of the Edisonian trial-and-error approach through which catalysts have been developed for over a century, ,, and requires specialized setups (e.g., parallel reactors or printed catalysts) and rapid approaches for monitoring activity (e.g., thermal or FTIR product detection). ,, Needless to say, high-throughput combinatorial studies generate a tremendous amount of data, which presents an informatics challenge. For this reason, high-throughput studies were early adopters of machine learning and data science techniques, and several informatics frameworks have been proposed to manage high-throughput catalytic data. ,,, Reviews of high-throughput catalyst testing have been published previously, so here we focus primarily on applications of informatics techniques for searching through the high-dimensional space and machine-learning approaches for identifying patterns in the data.…”
Section: From Data To Knowledgementioning
confidence: 99%
“…Despite these enormous complexities, the field of heterogeneous catalysis has made steady and continuous progress in the development of industrial catalysts. This has occurred primarily though two strategies: trial-and-error discovery , and systematic reductionist approaches using model catalysts . The history of the ammonia synthesis catalyst, one of the first and most widely studied catalytic systems, provides a useful illustration of these two principles.…”
Section: Introductionmentioning
confidence: 99%
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“…Traditionally, heterogeneous catalysis progresses through abundant experimentation, trial-and-error discoveries [53], and a systematic approach using model catalysts, molecules, and physics-based modelling [54]. One of the most famous examples regarding the experimentation-based approach is the progress made over ammonia synthesis catalyst by Haber and then by Mittasch and Bosch in the first decades of the twentieth century [55]. The final progress and understanding of this reaction were achieved after 10,000 experiments during which different single-and multi-combination of metals led to the final Fe-based catalyst [56].…”
Section: Insights From "In Silico" Modellingmentioning
confidence: 99%