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Product design, synthesis and lab automation with The World Avatar

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Peer-reviewed

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Abstract

This paper investigates how digital chemistry technologies such as machine learning, knowledge engineering, and laboratory automation are revolutionizing materials discovery for pressing global challenges in energy and healthcare. We introduce a comprehensive technology framework that integrates advanced databases, artificial intelligence models, semantic ontologies, and robotic systems to address fundamental challenges in chemical research. The World Avatar platform serves as a central case study, demonstrating its unique ability to connect computational design with experimental execution through dynamic and interoperable workflows. Practical applications in reticular chemistry and automated laboratory systems showcase the platform’s capacity to enable autonomous discovery processes. Together, these technological advances are driving chemical research toward more scalable, reproducible, and intelligent materials development approaches.

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Journal Title

Current Opinion in Chemical Engineering

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Journal ISSN

2211-3398
2211-3398

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Publisher

Elsevier

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Except where otherwised noted, this item's license is described as Attribution 4.0 International