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About

Michael E. Briggs is a chemist whose research sits at the exciting intersection of supramolecular chemistry, computational materials discovery, and robotic automation. His work focuses primarily on the design and synthesis of organic cage molecules and porous liquids — emerging material classes with significant potential in separation science, gas storage, and functional materials engineering. Briggs has made notable contributions to the field by pioneering high-throughput, robotics-assisted approaches to chemical discovery. His landmark 2018 paper on the computational screening and robotic synthesis of organic cages and catenanes (215 citations) demonstrated how combining algorithmic prediction with automated experimentation can dramatically accelerate the exploration of complex synthetic space — a challenge that traditional trial-and-error chemistry struggles to address efficiently. This theme continued in his highly cited 2019 work on Type II porous liquids (107 citations), where robotic workflows enabled rapid optimization of a poorly understood class of materials. Perhaps most impressively, Briggs contributed to work achieving true *a priori* crystal structure prediction of multi-component organic cage pots through social self-sorting principles (68 citations), bridging computational foresight with experimental realization. Collectively, his research champions a new paradigm of accelerated, data-driven chemical discovery that is reshaping how complex molecules are designed and synthesized.