Marc A. Little
Papers
4
Total Citations
417
H-Index
4
About
Marc A. Little is a researcher at the forefront of computational and supramolecular chemistry, specializing in the automated discovery of complex molecular architectures and crystal engineering. His work bridges cutting-edge computational prediction with robotic high-throughput synthesis, enabling the rational design of materials that would be extraordinarily difficult to identify through traditional experimental approaches alone. Little's most celebrated contribution, "High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis" (2018, 215 citations), demonstrated how combining algorithmic screening with automated laboratory workflows can navigate vast chemical spaces to uncover novel supramolecular structures, including intricate catenated assemblies. This landmark paper has become a touchstone for researchers seeking to accelerate materials discovery. His subsequent work on crystal structure prediction, including the identification of a hidden porous polymorph of trimesic acid (99 citations), further showcased his ability to extract new insights from well-studied systems. His research on multi-component organic cage pots through social self-sorting (68 citations) exemplified the power of moving seamlessly from computational concept to physical crystal, a paradigm-shifting approach in supramolecular chemistry. Collectively, Little's contributions are redefining how chemists design and discover complex functional molecules.
Research Focus
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Top Papers
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