2007 - Fellow of Alfred P. Sloan Foundation
His primary areas of investigation include Nanotechnology, Nanoparticle, Self-assembly, Monolayer and Nanoscopic scale. The study incorporates disciplines such as Reaction–diffusion system, Distributed computing, Molecular switch, Contact electrification and Electrostatics in addition to Nanotechnology. His Nanoparticle research is multidisciplinary, incorporating perspectives in Photochemistry, Photochromism, Curvature and Catalysis.
His Self-assembly research includes elements of Crystallization, Metastability, Scanning electron microscope, Scale and Data science. His Monolayer research is multidisciplinary, incorporating elements of Crystallography, Molecule, Surface plasmon resonance and Adsorption. The various areas that Bartosz A. Grzybowski examines in his Nanoscopic scale study include Chromatography, Precipitation and Static electricity.
Bartosz A. Grzybowski mainly investigates Nanotechnology, Nanoparticle, Self-assembly, Chemical physics and Monolayer. He interconnects Electrostatics, Reaction–diffusion system and Polymer in the investigation of issues within Nanotechnology. Bartosz A. Grzybowski has researched Nanoparticle in several fields, including Counterion, Catalysis and Adsorption.
His Self-assembly study typically links adjacent topics like Crystallization. He studies Monolayer, namely Self-assembled monolayer.
His scientific interests lie mostly in Nanoparticle, Machine learning, Artificial intelligence, Biochemical engineering and Nanotechnology. His biological study spans a wide range of topics, including Chemical physics, Monolayer, Counterion and Catalysis. His research investigates the connection between Monolayer and topics such as Rectifier that intersect with issues in Optoelectronics.
His Machine learning research integrates issues from Diels–Alder reaction and Steric effects. His studies deal with areas such as Yield, Sequence and Organic molecules as well as Biochemical engineering. Nanotechnology is closely attributed to Metal-organic framework in his research.
His primary scientific interests are in Artificial intelligence, Machine learning, Artificial neural network, Yield and Cost savings. His Artificial intelligence research incorporates themes from Diels alder, Imperfect and Diastereomer. His Machine learning study integrates concerns from other disciplines, such as Diels–Alder reaction and Steric effects.
Yield is often connected to Biochemical engineering in his work.
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Self-assembly at all scales.
George M. Whitesides;Bartosz Grzybowski.
Nanoscale Forces and Their Uses in Self‐Assembly
Kyle J. M. Bishop;Christopher E. Wilmer;Siowling Soh;Bartosz A. Grzybowski.
Electrostatic Self-Assembly of Binary Nanoparticle Crystals with a Diamond-Like Lattice
Alexander M. Kalsin;Marcin Fialkowski;Maciej Paszewski;Stoyan K. Smoukov.
Great expectations: can artificial molecular machines deliver on their promise?
Ali Coskun;Ali Coskun;Michal Banaszak;R. Dean Astumian;J. Fraser Stoddart;J. Fraser Stoddart.
Chemical Society Reviews (2012)
The Mosaic of Surface Charge in Contact Electrification
H. T. Baytekin;A. Patashinski;M. Branicki;Bilge Baytekin.
Nanoparticles functionalised with reversible molecular and supramolecular switches
Rafal Klajn;J. Fraser Stoddart;Bartosz A. Grzybowski.
Chemical Society Reviews (2010)
Dynamic self-assembly of magnetized, millimetre-sized objects rotating at a liquid–air interface
Bartosz A. Grzybowski;Howard A. Stone;George M. Whitesides.
Swimming bacteria power microscopic gears
Andrey Sokolov;Mario M. Apodaca;Bartosz A. Grzybowski;Igor S. Aranson.
Proceedings of the National Academy of Sciences of the United States of America (2010)
Self-assembly: from crystals to cells
Bartosz A. Grzybowski;Christopher E. Wilmer;Jiwon Kim;Kevin P. Browne.
Soft Matter (2009)
Light-controlled self-assembly of reversible and irreversible nanoparticle suprastructures.
Rafal Klajn;Kyle J. M. Bishop;Bartosz A. Grzybowski.
Proceedings of the National Academy of Sciences of the United States of America (2007)
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