Floating-gate semiconductor structures

Abstract

Hot-electron injection driven by hole impact ionization in the channel-to-drain junction of a p-channel MOSFET provides a new mechanism for writing a floating-gate memory. Various pFET floating-gate structures use a combination of this mechanism and electron tunneling to implement nonvolatile analog memory, nonvolatile digital memory, or on-line learning in silicon. The memory is nonvolatile because the devices use electrically isolated floating gates to store electronic charge. The devices enable on-line learning because the electron injection and tunneling mechanisms that write the memory can occur during normal device operation. The memory updates and learning are bidirectional because the injection and tunneling mechanisms add and remove electrons from the floating gate, respectively. Because the memory updates depend on both the stored memory and the pFETs terminal voltages, and because they are bidirectional, the devices can implement on-line learning functions.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS [0001] This application is a continuation-in-part of co-pending U.S. patent application Ser. No. 09 / 699,059 filed Oct. 27, 2000 in the names of Christopher J. Diorio and Carver A. Mead, now U.S. Pat. No. 6,______ issued on ______, 2002 and commonly owned herewith. That application is, in turn, a continuation of copending U.S. patent application Ser. No. 09 / 201,327 filed Nov. 30, 1998, now U.S. Pat. No. 6,144,581 issued on Nov. 7, 2000. U.S. patent application Ser. No. 09 / 201,327 is a divisional of U.S. patent application Ser. No. 08 / 882,717 filed Jun. 25, 1997, now U.S. Pat. No. 5,898,613 issued on Apr. 27, 1999 which is, in turn, a continuation-in-part of: (1) U.S. patent application Ser. No. 08 / 690,198 filed Jul. 26, 1996, now U.S. Pat. No. 5,825,063 issued on Oct. 20, 1998; (2) U.S. patent application Ser. No. 08 / 721,261 filed Sep. 26, 1996, now U.S. Pat. No. 5,875,126 issued on Feb. 23, 1999; and (3) U.S. patent application Ser. No. 08 / 845...

AI Technical Summary

Benefits of technology

This approach allows for local, long-term adaptation and learning in silicon, enabling the fabrication of self-tuning analog circuits and artificial learning networks within digital CMOS processes, with improved precision and reduced power consumption.

Problems solved by technology

The scaling of silicon integrated-circuit processing to deep-submicron feature sizes poses significant challenges for SOC (systems-on-a-chip) design.

On the negative side, scaling burdens analog CMOS with low transistor-breakdown voltages, poor transistor matching, and limited dynamic range.

Unfortunately, large-scale local learning in silicon has so far eluded researchers.

A primary reason is the lack of a simple way to enable nonvolatile analog on-line adaptation in CMOS circuits.

Although the advantages of using floating gate transistors as memory elements are well known, their application to silicon learning networks and analog memory cells has been limited.

The principal reason has been the lack of suitable bidirectional and self-convergent mechanisms for writing the analog memory.

Alternatively, an electron could tunnel through this barrier; however, at the oxide thicknesses required for nonvolatile storage the tunneling probability is also exceedingly small.

Both approaches are unattractive.

The dual polarity solution requires a negative voltage much lower than the substrate potential; the single polarity solution does not support simultaneous memory reading and writing or self-convergent memory writes.

Although excess charge is acceptable when writing a binary valued “digital” memory, where the exact quantity of charge is irrelevant once it exceeds the amount necessary to completely switch the device to one of its two binary states, uncertainty in the amount of charge applied to an analog memory cell may result in significant memory error.

This need has not been satisfied adequately by commercial NFET (n-channel field effect transistor) EEPROMs, primarily because conventional EEPROM transistors do not permit simultaneous memory reading and writing.

Unfortunately, since the control gate modulates the injection rate but does not receive the injected charge, the memory cannot be both written and read simultaneously.

Such a device is acceptable for digital EEPROMs but is unsuitable for analog learning cell or analog memory applications.

The disadvantage of this device is that in order to achieve injection, both the drain and gate voltages must exceed approximately 2.5 volts which results in high channel current and consequent high power consumption.

Additional steps, for example double-polysilicon processes, increase the cost of fabricating such memory devices.

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