X-ray Photon Correlation Spectroscopy (XPCS) probes the spontaneous fluctuation in spatial config... more X-ray Photon Correlation Spectroscopy (XPCS) probes the spontaneous fluctuation in spatial configurations of mixed phases, which can significantly impact the material properties of complex fluid. Tailored material design, however, requires navigation through massive multi-dimensional parameter space which is beyond the bandwidth of current XPCS beamline infrastructure. Using 3.7 μs-resolved XPCS, we demonstrate that Brownian dynamics of silica colloidal nanoparticles in a shielded pendant drop suspended from an electronic pipette is consistent with a sealed capillary, validating the use of pendant drop for automated XPCS measurement. Furthermore, the electronic pipette can be mounted on a robotic arm to access different stock solutions and create samples with highly-repeatable and precisely-controlled composition profiles (Video S2). This closed-loop, AI-executable experimental protocol is the first step towards autonomous material discovery and is applicable for not only XPCS, but ...
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) th... more Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments. Taken to their ultimate expression, SDLs could usher a new paradigm of scientific research, where the world is probed, interpreted, and explained by machines for human benefit. While there are functioning SDLs in the fields of chemistry and materials science, we contend that synthetic biology provides a unique opportunity since the genome provides a single target for affecting the incredibly wide repertoire of biological cell behavior. However, the level of investment required for the creation of biological SDLs is only warranted if directed toward solving difficult and enabling biological questions. Here, we discuss challenges and opportunities in creating SDLs for synthetic biology.
X-ray Photon Correlation Spectroscopy (XPCS) probes the spontaneous fluctuation in spatial config... more X-ray Photon Correlation Spectroscopy (XPCS) probes the spontaneous fluctuation in spatial configurations of mixed phases, which can significantly impact the material properties of complex fluid. Tailored material design, however, requires navigation through massive multi-dimensional parameter space which is beyond the bandwidth of current XPCS beamline infrastructure. Using 3.7 μs-resolved XPCS, we demonstrate that Brownian dynamics of silica colloidal nanoparticles in a shielded pendant drop suspended from an electronic pipette is consistent with a sealed capillary, validating the use of pendant drop for automated XPCS measurement. Furthermore, the electronic pipette can be mounted on a robotic arm to access different stock solutions and create samples with highly-repeatable and precisely-controlled composition profiles (Video S2). This closed-loop, AI-executable experimental protocol is the first step towards autonomous material discovery and is applicable for not only XPCS, but ...
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) th... more Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments. Taken to their ultimate expression, SDLs could usher a new paradigm of scientific research, where the world is probed, interpreted, and explained by machines for human benefit. While there are functioning SDLs in the fields of chemistry and materials science, we contend that synthetic biology provides a unique opportunity since the genome provides a single target for affecting the incredibly wide repertoire of biological cell behavior. However, the level of investment required for the creation of biological SDLs is only warranted if directed toward solving difficult and enabling biological questions. Here, we discuss challenges and opportunities in creating SDLs for synthetic biology.
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Papers by Gyorgy Babnigg