3D structure and process

Charge Trap Adoption Across Vendors

25 sourced facts on Charge Trap Adoption Across Vendors, each tied to the source it comes from.

25 facts filed under 3D structure and process: all 25 are reported by a second source. Each was checked against the source’s own words, so its figures appear there, and each names where it comes from. The idea is taught in Part 4, 3D NAND Stacking.

Secondary sources

  • Samsung first V-NAND reported 84% less coupling interference and 33% tighter natural Vt distributions than 1X nm floating-gate NAND, tPROG under 0.5 ms (about 1/3 of MLC FG).

    Published resultFigures: 84%; 33%; <0.5 msCharge-Trapping Non-Volatile Memories

  • The V-NAND tunnel layer is barrier-engineered SiON with a thin Al2O3, and the gate is TiN and tungsten.

    Published resultCharge-Trapping Non-Volatile Memories

  • In planar arrays Micron found nitride and nanodot storage layers share charge laterally, so stress-induced-leakage immunity was not realizable.

    Published resultCharge-Trapping Non-Volatile Memories

  • Charge-trap erase saturates about 5 V higher than floating gate; detrapping the nitride needs fields above 15 MV/cm.

    Published resultFigures: 5 V; 15 MV/cmCharge-Trapping Non-Volatile Memories

  • Charge-trap retention paths: thermal emission, trap-assisted tunneling, lateral diffusion and fast initial loss; after cycling at high temperature retention is worse than floating gate.

    Published resultSemiconductor Memories and Systems

  • TCAD of cylindrical SONOS shows the tunnel field rises and the blocking field falls with curvature.

    Published resultCharge-Trapping Non-Volatile Memories

  • Samsung’s first V-NAND improved natural Vt distributions by about 33% and cut coupling interference by 84% compared with 1X nm floating-gate NAND.

    Published resultFigures: 84%; 33%Charge-Trapping Non-Volatile Memories

  • Samsung’s first V-NAND had an average page programming time under 0.5ms, one-third of conventional MLC floating-gate NAND.

    Published resultFigures: <0.5msCharge-Trapping Non-Volatile Memories

  • In Micron’s planar charge-trap arrays, the nanocrystal and nitride storage layers suffered quick charge redistribution, and the expected SILC immunity was not realizable.

    Published resultCharge-Trapping Non-Volatile Memories

  • In Micron’s silicon-rich-nitride planar charge-trap array, charge was lost laterally along the continuous SiN layer.

    Published resultCharge-Trapping Non-Volatile Memories

  • The erase saturation of 3D MANOS-type charge-trap NAND is about 5V higher than floating-gate NAND, and detrapping electrons from nitride needs fields above 15MV/cm.

    Published resultFigures: 5V; 15MV/cmCharge-Trapping Non-Volatile Memories

  • Micron scaled a conductive floating-gate planar cell with a high-K and metal gate to 20nm, with a large P/E window (printed +/-8V), program and erase slope of about 1, and good endurance and retention.

    Published resultFigures: 8V; slope 1Charge-Trapping Non-Volatile Memories

  • The planar floating-gate cell has a very thin floating gate of around 10nm and a high-k block dielectric as the interpoly dielectric.

    Published resultNand Flash Memory Devices

  • V-NAND suffers a fast initial charge loss that offsets the program verify level and broadens the distribution after verify.

    Published resultCharge-Trapping Non-Volatile Memories

  • The biconcave charge-trap layer of TCAT suppresses lateral charge migration in the trapping layer, which improves retention.

    Published resultCharge-Trapping Non-Volatile Memories

  • At high temperature, thermionic emission drastically accelerates charge loss, so a bake above 150C may not predict retention at storage temperatures.

    Published resultCharge-Trapping Non-Volatile Memories

  • A channel diameter under 40nm gives a field enhancement factor above 1.6, so a 7V pass voltage is already equivalent to 11V in the planar case.

    Published resultFigures: 1.6; 7V to 11VCharge-Trapping Non-Volatile Memories

  • Scaling the channel hole of pipe-shaped BiCS to 66nm drastically improves the erasing speed.

    Published resultCharge-Trapping Non-Volatile Memories

  • In a gate-all-around channel, curvature enhances the tunnel-oxide electric field while the top blocking-oxide field is reduced.

    Published resultCharge-Trapping Non-Volatile Memories

  • The V-NAND gate stack: a barrier-engineered oxynitride tunnel dielectric, a thin (under 3nm) Al2O3 on the blocking oxide mixed with a TiN barrier, then a tungsten gate fill.

    Published resultCharge-Trapping Non-Volatile Memories

  • V-NAND uses a barrier-engineered oxynitride tunnel dielectric to improve the P/E window of the SONOS charge-trapping device.

    Published resultCharge-Trapping Non-Volatile Memories

  • In 3D charge-trap NAND the benefit of a better P/E cycling window is canceled by the post-cycling data retention, which needs substantial improvement to compete with floating-gate NAND.

    Published resultCharge-Trapping Non-Volatile Memories

  • The field enhancement factor (FE) will be more than 1.6 times, so a 7 V pass gate voltage is equivalent to 11 V in the planar case.

    Published resultFigures: 1.6; 7 V to 11 VCharge-Trapping Non-Volatile Memories

  • In pipe-shaped BiCS a 90nm channel hole could not erase below 0V, while a 66nm hole erased below -3V at a -22V erase bias.

    Published resultFigures: 90nm; 66nm; 0V; -3V; -22VCharge-Trapping Non-Volatile Memories

  • The curvature of a round charge-trap cell raises the field in the tunnel oxide and lowers it in the blocking oxide, which is why a smaller hole erases faster.

    Published resultCharge-Trapping Non-Volatile Memories

Sources

Primary is the original paper, standard or datasheet. Secondary is a review, a vendor summary or a news report. Measured is my own test data.

Show all 3 sources
  • SecondaryCharge-Trapping Non-Volatile MemoriesSpringer, 2015
  • SecondarySemiconductor Memories and SystemsWoodhead Publishing (Elsevier), 2022
  • SecondaryNand Flash Memory Devices2016