Abstract:Automation of chemical reactions through tools such as Rxn Rover in research and development is an enabling technology to reduce cost and waste management in technology transformations towards renewable feedstocks and energy in the chemical industry.
“…For chemical reaction optimisation, it would be more informative to test algorithm performance on chemically-motivated virtual benchmarks. 23–26 Therefore, the performance of ALaBO for optimising mixed variable catalytic reactions was evaluated using five in silico case studies proposed by Jensen et al 30…”
Section: Resultsmentioning
confidence: 99%
“…Although Bayesian optimisation toolboxes have been applied for single objective mixed variable self-optimisation, 7–9,13,14 the absence of a systematic and chemically-motivated comparison of these techniques makes algorithm selection a challenging task. 23–26…”
Catalytic reactions play a central role in many industrial processes, owing to their ability to enhance efficiency and sustainability. However, complex interactions between the categorical and continuous variables leads to...
“…For chemical reaction optimisation, it would be more informative to test algorithm performance on chemically-motivated virtual benchmarks. 23–26 Therefore, the performance of ALaBO for optimising mixed variable catalytic reactions was evaluated using five in silico case studies proposed by Jensen et al 30…”
Section: Resultsmentioning
confidence: 99%
“…Although Bayesian optimisation toolboxes have been applied for single objective mixed variable self-optimisation, 7–9,13,14 the absence of a systematic and chemically-motivated comparison of these techniques makes algorithm selection a challenging task. 23–26…”
Catalytic reactions play a central role in many industrial processes, owing to their ability to enhance efficiency and sustainability. However, complex interactions between the categorical and continuous variables leads to...
“…Recent projects towards automated synthesis platforms. [13,[14][15][16] The adapter then accesses a driver file that contains the modelspecific control commands and overwrites the generic functions of the adapter so that any device can be used, provided they can map the required basic functions. The user interface is a Flask-based [25] Python application that provides a web management platform for users and experimental parameters, as well as monitoring of the various backends.…”
“…Automation has also penetrated experimental physical chemistry. Some examples are Rxn Rover, 6 which can drive and optimize labscale synthetic work, integrated tools for material discovery, 7 complex workflows for experimental data and theoretical models in multiscale informatics frameworks, 8 or digital twins. 9 The goal of this work is to show the power of automation for multiwell gas-phase chemical reactions.…”
Automation of rate-coefficient calculations for gas-phase
organic
species became possible in recent years and has transformed how we
explore these complicated systems computationally. Kinetics workflow
tools bring rigor and speed and eliminate a large fraction of manual
labor and related error sources. In this paper we give an overview
of this quickly evolving field and illustrate, through five detailed
examples, the capabilities of our own automated tool, KinBot. We bring
examples from combustion and atmospheric chemistry of C-, H-, O-,
and N-atom-containing species that are relevant to molecular weight
growth and autoxidation processes. The examples shed light on the
capabilities of automation and also highlight particular challenges
associated with the various chemical systems that need to be addressed
in future work.
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