Blade Kotelly
Blade Kotelly Senior Lecturer, Gordon Engineering Leadership Program
AI-Powered Integrated Development Environments
Adam Chlipala Arthur J. Conner (1888) Professor, MIT Department of Electrical Engineering and Computer Science (EECS)
Adam Chlipala Associate Professor, MIT Electrical Engineering & Computer Science Department
Today’s consumers want to know more about the goods they purchase and where they come from than ever before. Concerns over issues like fair trade and sustainability are driving many companies, from fledgling startups to industry mainstays, toward radical transparency around sourcing, yet this move isn’t just about brand management. Case studies from the apparel, food, and electronics industries reveal the benefits of better visualization and greater transparency for the whole supply chain, because you can’t improve what you can’t see — but it can still cost you.
Brian Anthony | Associate Director, MIT.nano Paul Blainey Associate Professor, MIT Biological Engineering Ruizhi (Ray) Liao Postdoctoral Associate, MIT Computer Science & Artificial Intelligence Lab Jongyoon Han Professor of Electrical Engineering and Professor of Biological Engineering
Hae won Park
Won Park Research Scientist, Personal Robotics Group, MIT Media Lab
Lithographic nanofabrication is often limited to successive fabrication of two-dimensional (2D) layers. We present a strategy for the direct assembly of 3D nanomaterials consisting of metals, semiconductors, and biomolecules arranged in virtually any 3D geometry. We used hydrogels as scaffolds for volumetric deposition of materials at defined points in space. We then optically patterned these scaffolds in three dimensions, attached one or more functional materials, and then shrank and dehydrated them in a controlled way to achieve nanoscale feature sizes in a solid substrate. We demonstrate that our process, Implosion Fabrication (ImpFab), can directly write highly conductive, 3D silver nanostructures within an acrylic scaffold via volumetric silver deposition. Using ImpFab, we achieve resolutions in the tens of nanometers and complex, non–self-supporting 3D geometries of interest for optical metamaterials.