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        Linda Sapochak, NSF | NSF Division of Materials Research: Where Materials Begin and Society Benefits

        Summary Linda Sapochak shares insights on the National Science Foundation’s Division of Materials Research – what has been done, what projects are ongoing, and opportunities for the future. The new director Dr. Panchanathan has bold plans for the future of DMR and several key programs will be instrumental in carrying them out – the Materials… Continue reading Linda Sapochak, NSF | NSF Division of Materials Research: Where Materials Begin and Society Benefits

        William Shih, Harvard & Lulu Qian, Caltech | Molecular Detection via DNA Nanotech & Neural Nets

        Presenters William Shih, Harvard University William is overseeing an effort to apply Synthetic Biology approaches to the development of self-assembling DNA nanostructures and devices for use in biomedical applications. To achieve structures of even greater complexity, his laboratory is pioneering methods for hierarchical assembly of these particles into three-dimensional networks with site-specific control over chemical… Continue reading William Shih, Harvard & Lulu Qian, Caltech | Molecular Detection via DNA Nanotech & Neural Nets

        Tina Kaarsberg, DOE | AMO’s Program in Atomically Precise Manufacturing and Nanocarbon Metals

        Summary An overview of projects spearheaded by the Advanced Manufacturing Office of the US Department of Energy. These projects, involving Atomically Precise Manufacturing, are part of a larger vision for energy efficiency. The diverse portfolio of projects includes molecular assembler tips, molecular lego, diamondoid tools, copper/carbon hybrid materials, DNA origami, and Microelectromechanical systems. Presenters Tina… Continue reading Tina Kaarsberg, DOE | AMO’s Program in Atomically Precise Manufacturing and Nanocarbon Metals

        David Baker, University of Washington | Protein-based Assemblies and Molecular Machines

        Summary David Baker from the University of Washington presents breakthrough advancements in de novo protein design. Deep learning pattern recognition hallucinates the desired protein structure and also generates the correct peptide sequence for accurate folding, and predicted proteins are highly transferable to actual proteins produced in a lab. Results are easily transferable to the production… Continue reading David Baker, University of Washington | Protein-based Assemblies and Molecular Machines

        Ayusman Sen, Amar Flood, Gayle Pegamit | Enabling Applications of Nano/Micro Machines

        Summary Ayusman Sen A method of speeding reaction times by engaging enzyme pumps that use the analyte as a fuel source, with immediate applications for health. Amar Flood A proposal for using machine learning to parse a table of molecular motors which the machine learning tests creating assemblies using components across research groups from different… Continue reading Ayusman Sen, Amar Flood, Gayle Pegamit | Enabling Applications of Nano/Micro Machines

        Lisa Friedersdorf | Designing the National Nanotechnology Initiative of the Future

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        J. Tour, Rice | N. Giuseppone, Strasbourg | Molecular Machines: Applied in Medicine & Across Scales

        Summary Professor James Tour of Rice University presents a novel molecular robot that was developed thanks to crucial experimental work with Robert Pal of Durham University that targets a specific cell, and then drills into and through the cell wall causing the cell guts to spill out. Preliminary targets are either a cancerous cell or… Continue reading J. Tour, Rice | N. Giuseppone, Strasbourg | Molecular Machines: Applied in Medicine & Across Scales

        David Leigh, Raymond Astumian, Alberto Credi | The Advent of Artificial Molecular Machines

        Summary David Leigh starts with an investigation into the vision required for scientific progress. A scientist needs to find a problem interesting enough that is worth spending time on, yet sufficiently difficult that it hasn’t been solved. One must recognize that the time has come for solving that problem. Nanotechnology lost its way in the… Continue reading David Leigh, Raymond Astumian, Alberto Credi | The Advent of Artificial Molecular Machines

        James Cooper, University of Reading | Molecular Machines Group Launch

        Summary James Cooper discusses The Foresight Institute, future directions and goals for the Molecular Machines group. We seek to create an inclusive community of forward thinkers and doers who are interested in nanotechnology. A fantastic array of projects and contributors is lined up and more interesting projects are always being added. Attend the online discussions… Continue reading James Cooper, University of Reading | Molecular Machines Group Launch

        Isik Kizilyalli, ARPA-E | ARPA-E Program Overview

        The YouTube ID of 6z9aAlAPx2c is invalid. This meeting was off-the-record.

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