Our North Star goal is to open new horizons for machine learning to explore and modify the nanometer-scale world via scanning probe and electron microscopy. For decades, these microscopes have been operated by humans at speeds and decision-making processes suited to human capabilities. We aim to revolutionize this by harnessing the power of stochastic optimization to accelerate microscope operations and uncover physics and structure-property relationships. By leveraging large language models to define reward functions, assist human operators with decision-making, and provide interpretation, we are pioneering a future where advanced AI and microscopy work in tandem to push the boundaries of scientific discovery.
Our future vision includes using AE SPM to explore combinatorial libraries in search of better materials and deeper physical knowledge, providing vital information for materials synthesis and optimization, effectively closing the material discovery loop. We aim to create novel domain patterns and geometries. We strive to integrate similar components for electron microscopy, ultimately teaching STEM to assemble matter atom by atom. Together, we are shaping a new era of material discovery and innovation.
