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Nanoscale Self-Assembly A Computational View

Nanoscale Self-Assembly A Computational View. Philip Kuekes Quantum Science Research HP Labs. What’s Cooking? Everybody likes Recipes. Two Challenges for Nanoelectronics. Invent a new switching device Develop a new fabrication process Examine Architecture First.

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Nanoscale Self-Assembly A Computational View

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  1. Nanoscale Self-AssemblyA Computational View Philip Kuekes Quantum Science Research HP Labs

  2. What’s Cooking?Everybody likes Recipes

  3. Two Challenges for Nanoelectronics • Invent a new switching device • Develop a new fabrication process • Examine Architecture First

  4. HPL Teramacmulti-architecture computer • 106 gates operating at 106 cycle/sec • 100 times workstation performance • Largest defect-tolerant computer ever built • 220,000 (3%) defective components

  5. Defect Theology • Original Sin • Redemption Through Good Works • Guilt by Association

  6. Redundant Testing PASS PASS PASS FAIL PASS PASS FAIL PASS PASS PASS

  7. Defect Tolerance for Free • CMOS Technology –Configuration bit >20 x wire crossing area • Molecular Technology –Configuration bit smaller than wire crossing

  8. Memory 0 Switch Teramac crossbar Teramac Crossbar Architecture

  9. 4PF6- O O O O O O O O O O O O O O O O + + N N N N N N + + CH2OH Rotaxane Molecular Switch -Prof. Fraser Stoddart, UCLA C.P. Collier, E.W. Wong et al.

  10. 10 Ti 5 0 Current (mA) -5 Pt -10 -1.0 0.0 -2.0 1.0 Voltage (V) Experimental Realization of aMolecular-Tunneling Switch Device = Molecule + Electrodes

  11. Moletronics Architecture • Wires • Memories • Logic • Integrated Circuits

  12. Crossbar at 17 nm half-pitch width • Smallest virus 30-42 nm • hepatitis B

  13. Parallel ErSi2 wires grown by self-assembly 2 nm width with a nine nanometer separation

  14. a b c d e f Logic Array Design U V W X Y Z Y = (U AND V) OR(W AND X) Z = V+ C = V-

  15. RESET SET 1 SET 2 ENABLE RESTORE & INVERT Clock / control C1C2 SW1 SW2 E D Data input Q Data out MOLECULAR SWITCH LATCH: EXPT DATA

  16. Expt: Latch works! Signal restoration Inversion, if desired >100mV operating margin No nanoscale transistor! J. Appl. Phys. Feb 1, 2005

  17. Random Demultiplexer

  18. ‘C20’ O C C H H O Pt 3 TiAl TiAl Pt Al Ti V LB Pt SiO2 Si 2003 NAND HP crossbar switches & circuits 16 k 1 k 2005 (ITRS 2018) 64 2004 1 2002

  19. How does a Molecular Computer Grow Up? Conventional Computer Teacher Low Bandwidth Link Initially Stupid Molecular Student

  20. I Get By With A Little HelpFrom My Friends Tutors Doctors

  21. Complexity Self Assembly & Thermodynamics Arbitrary Graphs

  22. Tradeoffs Cost of doing the chemistry Cost of doing the computing

  23. The Pure and the Grubby

  24. The Math - Expanders- Cayley Graphs- Ramanujan Graphs

  25. Today • Physical Scientists can only do very simple self-assembly • Mathematicians can create interesting complex structures with very simple generators

  26. The new capability • Combine the simple physical processes with the mathematical constructions • Nanoscale self-assembled systems with enough complexity to do useful computation.

  27. The Physics • Self-Assembled DNA Nanostructures • Self-Assembled Surface Chemistry • Viral Self-Assembly • Molecular Electronic Circuit Assembly • DNA-linked Nano-particle Structures

  28. The MathAdvantages of Simple Construction • amenable to self-assembly • short explicit description • highly-connected • sparse

  29. Physical StructuresNot Just Abstract Graphs • defect-tolerance • efficiently embedded in three-dimensional space • relatively short edge-lengths.

  30. Algorithmic Manufacturing • Local rules • Global structure

  31. Feedback and the Way Forward • Computer Code • Biology • Chemistry, Physics, Materials Science

  32. Feedback and the Way Forward • Computer Code • Biology • Chemistry, Physics, Materials Science • Reaction Diffusion

  33. Stealing from Biology

  34. DNA and Proteinsversus Cells Logic Design as Geometry Spatial Structure Controlled diffusion Compartments as wires

  35. Organelles

  36. Garbage Collection Ubiquitin Apoptosis Mass transport

  37. The Best of Both Worlds Self-assembly Adaptive External Programming Self-disassembly

  38. Tradeoffs Cost of doing the chemistry Cost of doing the computing

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