Download presentation
Presentation is loading. Please wait.
1
Post-CMOS Grand Challenges
Juri Matisoo Vice-President, Technology Semiconductor Industry Association
2
Acknowledgements SIA TSC Working Group Bob Doering, TI, Chair;
George Bourianoff, Intel Philip Wong, IBM Luan Tran, Micron Papu Maniar, Motorola Jim Hutchby, SRC
3
Agenda/Overview Value and Need for Investment in Nanoelectronics* Research Long-Term Manufacturing Research Long-Term Device Research Recommendations Summary * In this presentation: “nanoelectronics” ≡ “future IC technology”
4
Benefits to the U.S. from the Semiconductor Industry
Powers other Industries Spurs Economic Growth ~3% of GDP growth due to “computer quality” increase Creates High-Wage Jobs ~300K jobs in the U.S. currently Fosters International Competitive Advantage Bolsters National Defense/Homeland Security Intelligence gathering/processing Guidance/Control systems (e.g., for E2C2) Logistics management/efficiency Communications Technology
5
The Need for New Enablers of Progress in Future ICs
The industry productivity gains of 25%/year reduction in cost/function and improved performance and reduced power consumption over the last 40 years have been driven by miniaturization of semiconductor devices. The International Technology Roadmap for Semiconductors (ITRS) predicts that over the next years, this trend will end. New devices and manufacturing techniques are needed.
6
Long-Range Grand Challenges
In the long term, the SIA TSC feels that we face two grand challenges worthy of very large federal funding: Scaling limits of “evolutionary lithography/thin-film manufacturing” Scaling limits of “charge-transport devices/interconnect” We suggest that these might be overcome through new and synergistic research in the under-funded broad areas of: “Directed self-assembly” of complex structures with “nanoelectronics-functionality” (computation, comm., etc.) “Beyond (classical) charge transport” signal-processing/ computational technology (e.g., based on quantum-states)
7
Rationale for Directed Self-Assembly
Break the manufacturing “scaling tyranny” of: Maintaining adequate process-control margin Contamination-density-limited yield Escalating wafer-fab capital cost Lengthening production cycle time Rapidly increasing photomask cost
8
Desired Consequences of Directed Self-Assembly
Approaching “atomic-level” perfection/control in manufacturing of nano-systems (“future SOCs”) Providing radically enhanced and affordable functionality in nano-systems Revolutionizing fab economics and logistics Application to a broad range of devices (e.g., from “ultimate CMOS” to “quantum-state”) Note: the principal barrier to implementation of advanced device concepts is often “manufacturing feasibility”
9
Current Examples of Self-Assembly Techniques
10
The Self-Assembly “Place and Route” Problem
13
IC Metrics that Should Guide Research on NanoManufacturing
Cost/Integrated-Function (e.g., $/gate or $/bit integrated into system) Operations/Second (computation speed, e.g. MIPS) Power Dissipation (both operating and standby power) Integration Density (e.g., integrated functions/cm2 or /cm3) Integration Diversity (SOC functions - e.g., analog, RF, e-RAM) Capital Cost/Capacity (e.g., capital investment $/chips/month) Mfg. Cycle Time (impacts time-to-market and ASIC delivery) R&D Cost (e.g., cost per new product or tech node) NanoManufacturing Goals: 100x beyond limits of the evolutionary approach
14
Rationale for Beyond-Charge-Transport Signal-Processing/Computation
Break the “CMOS electrical scaling tyranny,” e.g.: Voltage (limiting speed/power/error-rate tradeoff) Resistance (limiting speed and low power) Capacitance (limiting speed and low active power) Charge-Leakage Mechanisms (limiting standby power)
15
Desired Consequences of Beyond-Charge-Transport Computation/Signal-Processing
Providing significant performance improvements via mechanisms beyond merely scaling physical dimensions (e.g., multiple logic states, far-from- equilibrium operation) Providing qualitatively new types of nano-system functionality (e.g., direct sensing/actuating)
16
Some Potential State Variables Alternative to Classical Electric Charge
Atomic/molecular quantum states (including “artificial atoms”) Magnetic-dipole magnitude/orientation (e.g., electron/nuclear spin) Electric-dipole magnitude/orientation Magnetic flux quanta Photon number Photon polarization Mechanical state
17
Example: Spin-Resonance Transistor (SRT)
Transistors that control spins rather than charge More energy efficient than conventional transistors Combines magnetic and electrostatic fields May enable quantum computing Binary information can be represented by the spin of a single dopant atom bound to lattice site in a semiconducting material. Changing the bit involves flipping the spin from spin up to spin down of visa versa. The SRT shown above is designed to set, sense and manipulate the spins of two individual phosphorous atoms. The graded SiGe alloy has an atomic g factor that varies with the relative abundances of Si and Ge. The g factor determines the frequency of atomic precession in an applied magnetic field. In particular, it controls whether or not the precessional frequency is resonant with the precession. When a resonance is encountered, the spin will flip The gate electrodes allow the position of the phosphorus atom to be manipulated and control quantum entanglement of the adjacent phosphorous atoms. Similar structures ( not shjown here) can be engineered as a “spin valve” utilizing the spin of an trapped electron to control current flow through a quantum dot by means of the Columnb blockade effect. Swithing the device on and off is accomplished in switching the spin polarization of the trapped electron. Courtesy Eli Yablanovitch, UCLA
18
Challenges to Metrology
Instrumentation and techniques for Identification and visualization of atomic species and structure Observation of short-range and long-range order, defects Device characterization
19
Summary We have identified two major challenges for nanoelectronics, worthy of significant Government funding via NNI We presented these findings to PCAST as part of their NNI review, and strategy development
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.