Robotic Catalysis: A High‐Throughput Method for Miniature Screening of Mesoporous Metal Oxides**

Abstract

We have developed a high-throughput system to synthesise and explore up to 96 heterogeneous catalysts at the same time.The system was developed as a proof of concept, using a standard glass plate and a 3D printed 96-well plate. Nanodroplets of catalyst formulations were transferred to the glass plate using an acoustic liquid handler and upon heat treatments, the miniature mesoporous metal oxide (MMO) catalysts were formed. The 3D printed bottomless 96-well plate was fixed to the glass plate, to give 96 individual wells, each containing a catalyst. Four catalyst plates were prepared (Co 3 O 4 -, Au/Co 3 O 4 -, Pd/Co 3 O 4 -and Co/Mn-MMO) to be screened for their activity in the oxidation of morin, as a model reaction. The observed reaction rates (k obs ) for each catalyst were calculated to identify the most active catalyst. The general method described herein requires microscopic amounts of catalysts with derivates of the catalyst's composition.

How machine learning can accelerate electrocatalysis discovery and optimization

“…91 These high-throughput techniques enable rapid synthesis of a large variety of catalyst materials with diverse constituents and phases. 92 For example, thin film sputtering and pulsed laser deposition have been combined with robotic arms and shadow masks to synthesize a large family of catalysts with variable compositions and thicknesses. 93 Jet dispensing was explored as a high-throughput approach to screen and synthesize materials, while controlling important variables such as stoichiometry, solid content and solvent grade.…”

Developing Catalysts via Structure‐Property Relations Discovered by Machine Learning: An Industrial Perspective

“…These manual processes have been automized by many labs and companies, which reduces manual labor significantly and improves the statistics of data, simultaneously. [28,29] Automated systems, robots, and microfluidic chips allow researchers to synthesize a variety of catalysts via sol-gel methods, precipitation, or ion-exchange, and more [30,31]. High throughput experimentation generates a large amount of catalytic testing data that can be used for MLbased strategies [32]; some facilities also work in collaboration with chemical companies for generating this data [33].…”

A new automated synthesis of a coke-resistant Cs-promoted Ni-supported nanocatalyst for sustainable dry reforming of methane

“…[1][2][3] Until now, although the synthesis technology of supported catalysts has been signicantly improved, the discovery of reliable synthetic methods and advanced tools for highly uniform catalysts remains a challenge. [4][5][6] Dry reforming of methane (DRM) is becoming increasingly important as an eco-friendly process to produce syngas (CO and H 2 ) from greenhouse gases (CH 4 and CO 2 ). 7,8 However, for commercialization, the low stability for carbon deposition, which hinders the accessibility of catalytically active sites by reacting substances, is a critical problem, especially for long periods and under very harsh reaction conditions.…”

“…1–3 Until now, although the synthesis technology of supported catalysts has been significantly improved, the discovery of reliable synthetic methods and advanced tools for highly uniform catalysts remains a challenge. 4–6…”