Abstract:In this paper, the effects of large-tilted-angle p-pocket (LAP) implantation on the performance and reliability of stacked-gate memory cell are investigated. The utilization of LAP process achieves the improved programming efficiency and reduced punchthrough susceptibility. The 45° LAP cell featuring a fastest programming speed, however, would not be desirable due to the seriously aggravated read current degradation, drain/read disturbance, and early snap-back breakdown. The cells with 0° and 30° tilted angle … Show more
“…Figure 3(a) shows the 1D section doping profile along the channel direction at the surface of the channel and the optimized doping profiles decay from source/drain end to the channel center. Notably, the shape of these "pocket" doping profiles could be obtained by a large tilted-angle implantation [7,43]. This type doping profile engineering delays the threshold voltage roll-off due to the SCE.…”
Section: Resultsmentioning
confidence: 99%
“…The Leff is discretized with M uniformly spaced points yj = jLeff/M, j = N, N+1,…, N+M-1, as shown Fig. 1(b), and the Wdm is discretized as (6)- (7). The doping profile is then defined as: dij = NA(xi, yj), i = 0, 1,…, K-1, j = N, N +1,…, N+M-1.…”
Section: Integration Of 2d Poisson Equationmentioning
confidence: 99%
“…which is a function of doping profile dij in Region II. For obtaining the WD, the technique is similar to (3) to (7) except that we have to change the boundary condition and the index of the integral from Region I to Region III. We express the WD as a function of doping profile dij:…”
Section: Integration Of 2d Poisson Equationmentioning
confidence: 99%
“…governs the device performance, affects the short-channel effect (SCE) [1][2][3][4][5][6][7], and regulates the random-dopant-fluctuation-induced threshold voltage fluctuation (RDF-induced Vt) [8][9][10][11][12][13]15] significantly. However, various doping-profile designs strongly rely on device engineering experiences in process/device simulation and fabrication experiment, such as retrograde doping profile method [6], methodology of inverse modeling using I-V characteristics [14], simulation-based evolutionary technique [15] and regression method [16].…”
In this study, we theoretically optimize a two-dimensional (2D) channel doping profile of metal-oxide-semiconductor field-effect transistors (MOSFETs) with given current voltage (I-V) characteristics by using a geometric programming (GP) technique. Inverse modeling of channel doping profile for device characteristics with simultaneously considering the short-channel effect (SCE) and random-dopant-fluctuation-induced threshold voltage fluctuation (RDF-induced Vt) is advanced. The formulated model of doping profile is a GP problem which can be transformed into a convex optimization problem and solved globally and efficiently. Constrains of I-V characteristics with including the RDF-induced Vt are included to optimize desired doping profiles. The optimization methodology is applied for 45-nm MOSFET devices and the results are validated with 2D numerical device simulation. This approach provides an alternative way to design doping profile for various technologies of MOSFETs.
“…Figure 3(a) shows the 1D section doping profile along the channel direction at the surface of the channel and the optimized doping profiles decay from source/drain end to the channel center. Notably, the shape of these "pocket" doping profiles could be obtained by a large tilted-angle implantation [7,43]. This type doping profile engineering delays the threshold voltage roll-off due to the SCE.…”
Section: Resultsmentioning
confidence: 99%
“…The Leff is discretized with M uniformly spaced points yj = jLeff/M, j = N, N+1,…, N+M-1, as shown Fig. 1(b), and the Wdm is discretized as (6)- (7). The doping profile is then defined as: dij = NA(xi, yj), i = 0, 1,…, K-1, j = N, N +1,…, N+M-1.…”
Section: Integration Of 2d Poisson Equationmentioning
confidence: 99%
“…which is a function of doping profile dij in Region II. For obtaining the WD, the technique is similar to (3) to (7) except that we have to change the boundary condition and the index of the integral from Region I to Region III. We express the WD as a function of doping profile dij:…”
Section: Integration Of 2d Poisson Equationmentioning
confidence: 99%
“…governs the device performance, affects the short-channel effect (SCE) [1][2][3][4][5][6][7], and regulates the random-dopant-fluctuation-induced threshold voltage fluctuation (RDF-induced Vt) [8][9][10][11][12][13]15] significantly. However, various doping-profile designs strongly rely on device engineering experiences in process/device simulation and fabrication experiment, such as retrograde doping profile method [6], methodology of inverse modeling using I-V characteristics [14], simulation-based evolutionary technique [15] and regression method [16].…”
In this study, we theoretically optimize a two-dimensional (2D) channel doping profile of metal-oxide-semiconductor field-effect transistors (MOSFETs) with given current voltage (I-V) characteristics by using a geometric programming (GP) technique. Inverse modeling of channel doping profile for device characteristics with simultaneously considering the short-channel effect (SCE) and random-dopant-fluctuation-induced threshold voltage fluctuation (RDF-induced Vt) is advanced. The formulated model of doping profile is a GP problem which can be transformed into a convex optimization problem and solved globally and efficiently. Constrains of I-V characteristics with including the RDF-induced Vt are included to optimize desired doping profiles. The optimization methodology is applied for 45-nm MOSFET devices and the results are validated with 2D numerical device simulation. This approach provides an alternative way to design doping profile for various technologies of MOSFETs.
This paper describes and discusses intensively the charge loss characteristics in the stacked-gate
memory device with interpoly oxide-nitride-oxide (ONO) dielectric at elevated temperatures. There
exist two distinct phases in the charge loss characteristics. The dominant mechanism in the first phase
can be described as the charge transport in the nitride layer. The second phase is dominated by
effective thermionic emission effect from the stacked gate system. A linearly proportional
relationship is also observed between normalized charge loss in the first phase and initial threshold
voltage shift. Due to the fast charge loss rate, the charge loss in the first phase governs the threshold
instability of the stacked-gate device. A method to determine the programming window for better
threshold voltage stability based on charge loss in first phase is proposed.
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