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Self Assembly and Adaptive Systems

Self Assembly and Adaptive Systems

Grzybowski and his team pioneered research on non-equilibrium self-assembly processes in chemical systems (Nature 2000, Science 2002a, Science 2002b, Nature 2018). They were the first ones to describe nanoscale self-assembly based on electrostatic interactions (Science 2006), and first ones to demonstrate all-nanoparticle electronics (Nature Nanotechnology 2011, 2016). Grzybowski’s team discovered several fundamental phenomena at small scales (e.g., plastic-metals, Science 2007; inverse photoconductors, Nature 2009) and is recognized as being the pioneers of reaction-diffusion chemical systems operating in the nano- and microscopic regimes (reviewed in Angew. Chem. 2010 and also in the Grzybowski’s textbook on the subject). The Grzybowski group discovered and quantified the general laws governing the Network of Organic Synthesis (Nature Chemistry 2009, Angew. Chem. 2005, 2006), and created Chematica, the “chemical brain” for the planning of organic syntheses (Angew. Chem. 2012a, 2012b, 2012c, 2016). Chematica has been recently acquired by Merck/MilliporeSigma and is being used by several major companies and national security agencies worldwide. In 2011, the group solved perhaps the oldest scientific question – originally posed by Thales of Miletus – as to how and why materials charge upon contact with one another (Science 2011, Science 2013). In 2013, they have demonstrated magnetic traps that unlike their optical counterparts can manipulate nanoscopic objects, both magnetic and non-magnetic (Nature 2013). Grzybowski is an author of over 250 articles. Over the years, Grzybowski received several awards including NSF CAREER Award, Pew Scholar in the Biomedical Sciences, American Institute of Chemical Engineers NSEF Young Investigator Award, ACS Unilever Award, Sloan Fellowship, Dreyfus Teacher-Scholar Award, Nanoscience Prize, and the 2016 Feynman Prize. His current research interest include non-equilibrium self-assembly, reaction-diffusion phenomena, “thinking” materials, chemical networks and systems, theory of organic synthesis, and applications of AI to chemistry.

Grzybowski and his team pioneered research on non-equilibrium self-assembly processes in chemical systems (Nature 2000, Science 2002a, Science 2002b, Nature 2018). They were the first ones to describe nanoscale self-assembly based on electrostatic interactions (Science 2006), and first ones to demonstrate all-nanoparticle electronics (Nature Nanotechnology 2011, 2016). Grzybowski’s team discovered several fundamental phenomena at small scales (e.g., plastic-metals, Science 2007; inverse photoconductors, Nature 2009) and is recognized as being the pioneers of reaction-diffusion chemical systems operating in the nano- and microscopic regimes (reviewed in Angew. Chem. 2010 and also in the Grzybowski’s textbook on the subject). The Grzybowski group discovered and quantified the general laws governing the Network of Organic Synthesis (Nature Chemistry 2009, Angew. Chem. 2005, 2006), and created Chematica, the “chemical brain” for the planning of organic syntheses (Angew. Chem. 2012a, 2012b, 2012c, 2016). Chematica has been recently acquired by Merck/MilliporeSigma and is being used by several major companies and national security agencies worldwide. In 2011, the group solved perhaps the oldest scientific question – originally posed by Thales of Miletus – as to how and why materials charge upon contact with one another (Science 2011, Science 2013). In 2013, they have demonstrated magnetic traps that unlike their optical counterparts can manipulate nanoscopic objects, both magnetic and non-magnetic (Nature 2013). Grzybowski is an author of over 250 articles. Over the years, Grzybowski received several awards including NSF CAREER Award, Pew Scholar in the Biomedical Sciences, American Institute of Chemical Engineers NSEF Young Investigator Award, ACS Unilever Award, Sloan Fellowship, Dreyfus Teacher-Scholar Award, Nanoscience Prize, and the 2016 Feynman Prize. His current research interest include non-equilibrium self-assembly, reaction-diffusion phenomena, “thinking” materials, chemical networks and systems, theory of organic synthesis, and applications of AI to chemistry.