The future of self-driving laboratories: from human in the loop interactive AI to gamification

Hysmith, Holland; Foadian, Elham; Padhy, Shakti P.; Kalinin, Sergei V.; Moore, Rob G.; Ovchinnikova, Olga S.; Ahmadi, Mahshid

doi:10.1039/d4dd00040d

Cited by 4 publications

(1 citation statement)

References 128 publications

(181 reference statements)

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“…By codifying the way by which SDLs adhere to these principles into measurable observables, these platforms can steer toward long-term environmental objectives and communicate their progress to collaborators, robotic, academic, industrial, or otherwise. 126 With this breakthrough for communication, and thus collaboration, SDLs can contribute fully to the development of more sustainable technologies and practices, driving positive change to both the way research is conducted and to the solutions research provides.…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

Engineering a Sustainable Future: Harnessing Automation, Robotics, and Artificial Intelligence with Self-Driving Laboratories

Sadeghi,

Canty,

Mukhin

et al. 2024

ACS Sustainable Chem. Eng.

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The accelerating depletion of natural resources undoubtedly demands a radical reevaluation of research practices addressing the escalating climate crisis. From traditional approaches to modern-day advancements, the integration of automation and artificial intelligence (AI)-guided decision-making has emerged as a transformative route in shaping new research methodologies. Harnessing robotics and high-throughput automation alongside intelligent experimental design, self-driving laboratories (SDLs) offer an innovative solution to expedite chemical/materials research timelines while significantly reducing the carbon footprint of scientific endeavors, which could be utilized to not only generate green materials but also make the research process itself more sustainable. In this Perspective, we examine the potential of SDLs in driving sustainability forward through case studies in materials discovery and process optimization, thereby paving the way for a greener and more efficient future. While SDLs hold an immense promise, we discuss the challenges that persist in their development and deployment, necessitating a holistic approach to sustainability in both design and implementation.

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Section: Challenges and Opportunitiesmentioning

confidence: 99%