defect reduction for semiconductor memory applications

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Mark Melliar-Smith Chief Executive Officer [email protected] Defect Reduction for Semiconductor Memory Applications Using Jet And Flash Imprint Lithography Zhengmao Ye, Kang Luo, Xiaoming Lu, Brian Fletcher, Weijun Liu, Frank Xu, Dwayne LaBrake, Douglas Resnick, Matt Shafran, Saul Lee, Whitney Longsine, Van Truskett, S. V. Sreenivasan February 26 th , 2013

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Page 1: Defect Reduction for Semiconductor Memory Applications

Mark Melliar-Smith Chief Executive Officer

[email protected]

Defect Reduction for Semiconductor Memory Applications Using Jet And

Flash Imprint Lithography

Zhengmao Ye, Kang Luo, Xiaoming Lu, Brian Fletcher, Weijun Liu, Frank Xu, Dwayne LaBrake, Douglas Resnick, Matt Shafran, Saul Lee, Whitney Longsine, Van Truskett,

S. V. Sreenivasan

February 26th, 2013

Page 2: Defect Reduction for Semiconductor Memory Applications

Overview

J-FIL memory strategy and roadmap

Mask status

Wafer defect data › Defect mechanisms › Short-run vs. long-run defect trends › Approach to achieve >20 lot runs at low defectivity

Conclusions › Excellent overall progress towards manufacturing › Mask plans and resist processes in place for 1x nm

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Page 3: Defect Reduction for Semiconductor Memory Applications

J-FIL Memory Manufacturing

Industry infrastructure:

› Equipment partner experienced in building and shipping J-FILTM steppers

› High quality DNP commercial imprints replica masks available today

J-FIL Stepper installations Customer’s Facility

3

Focusing on CMOS memory due to defect tolerance

Multiple tools installed for system refinement and process integration

Large semiconductor manufacturer has plans to ramp J-FILTM into advanced memory production by 2015.

Page 4: Defect Reduction for Semiconductor Memory Applications

2011 2012 2013 2014 2015 2016

Gen 2 Cluster (6 modules) Stepper Production CoO and <8nm O/L

Gen 2 (1 module) Stepper Production CoO and <8nm O/L

Equip. Partner ‘s Gen 1 Yield Targets and <10nm O/L

Imprio 450 300mm and 450mm Capable

Mask Commercial Supply DNP Mask Shop

Semiconductor Platform Roadmap

Perfecta MR5000 2X nm 1X nm

Wafer

Mask Replication

IM30

IM20

Development Line 2X nm 10 nm

IM30’C’

Pilot Production 1x nm 10 nm

Production Ramp 1x nm 10 nm

Molecular Imprints Platform

Equipment Partner Stepper

ship module

Molecular Imprints Module

Legend

Process Integration 24 nm 10 nm

4

Page 5: Defect Reduction for Semiconductor Memory Applications

Collaborative Relationships

Semiconductor J-FILTM Collaboration

5

Imprint Masks Imprint Stepper

Apps and Materials

Memory IC Manufacturer

Equipment Partner Mask Shop Partner Resist Partner

Molecular Imprints

Mask Replicator Imprint Modules

Imprint Resist

Material Formulation

Page 6: Defect Reduction for Semiconductor Memory Applications

MII Confidential

J-FIL’s Manufacturing Readiness ATTRIBUTE Feb 2011 Sep 2012 Current Status Mfg Target TEMPLATE

Master CDU 1.2nm 1.2nm 1.2nm ~ 1nm

Image Placement 4nm 2.5nm 2.5nm < 3nm

Master Defectivity 10 def/cm2 0 to 1 def/cm2 0 def/cm2 < 0.1 def/cm2

Replica Defectivity to be determined 5 def/cm2 3 def/cm2 <1 def/cm2

IMPRINT LER 2nm 2nm 2nm <2nm

Overlay Accuracy 10nm 10nm 10nm < 8nm

CDU on Wafer to be determined 0.5nm 0.5nm < 1 nm

Throughput 5-7 wph 10 wph 10 wph 20wph

Defects (short run, ~2 wafers) 10 def/cm2 ~2 def/cm2 ~2 def/cm2 <0.1 def/cm2

Defects (long run, > 1 lot) to be determined <50 def/cm2 <10 def/cm2 <1 def/cm2

Data Source SPIE . SEMATECH Litho Forum

6

Page 7: Defect Reduction for Semiconductor Memory Applications

Overview

J-FIL memory strategy and roadmap

Mask status

Wafer defect data › Defect mechanisms › Short-run vs. long-run defect trends › Approach to achieve >20 lot runs at low defectivity

Conclusions › Excellent overall progress towards manufacturing › Mask plans and resist processes in place for 1x nm

7

Page 8: Defect Reduction for Semiconductor Memory Applications

Mask Replication Master Masks

› Fabrication by e-beam › Inspected by e-beam and repaired

Replica Masks using J-FIL

› Enable low cost mask copies that can be used for all lines in memory fab › Leads to low overall cost of ownership

One replica is expected to be used to imprint ~500 wafers (20 lots)

…MasterMask …

Replicas createdby imprint

Wafers printed on J-FIL steppers

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Page 9: Defect Reduction for Semiconductor Memory Applications

Mask Infrastructure Readiness Status 2012

Master/Replica @ 2x nm Target 2012 Units

Master defectivity 0 0 with repair defects/cm2

Replica added image placement < 2 <2 nm, 3σ

Replica defect density <1 3 defects/cm2

Relica CDU 2 1.5 nm, 3σ

Defect repair of masters Yes In use

Resist etch resistance* 30% over 2011 Baseline

15% improvement

* Improved etch resistance is needed relative to Cr, and the etch process window is related to replica defects.

DNP is primarily shipping replica masks

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Page 10: Defect Reduction for Semiconductor Memory Applications

1xnm Mask Technology

E-Beam

Double Patterning

10

15nm master/replica mask feasibility

Page 11: Defect Reduction for Semiconductor Memory Applications

Overview

J-FIL memory strategy and roadmap

Mask status

Wafer defect data › Defect mechanisms › Short-run vs. long-run defect trends › Approach to achieve >20 lot runs at low defectivity

Conclusions › Excellent overall progress towards manufacturing › Mask plans and resist processes in place for 1x nm

11

Page 12: Defect Reduction for Semiconductor Memory Applications

J-FIL Electrical Yield: Excellent Progress

1 10 100 1000 10000

100%

80%

60%

40%

20%

0%

Line Length (mm)

Yiel

d

26nm HP

J-FIL

Electrical Defect Testing: Yield vs. Line Length

DNP presented yesterday that yields >90% have been achieved for 10 meter lines

More progress expected with improvements in contamination control as discussed next, and with reduced mask replica defects.

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Page 13: Defect Reduction for Semiconductor Memory Applications

Defect Mechanisms for 2xnm Features Separation step can cause pattern shear

failure. Particularly challenging for sub-25nm features at high throughput

Solved using improved precision machine design, real-time algorithms for controlled separation and enhanced resists

B. Sub-30nm particles lead to plug defects, causing line breaks in the resist

A. Surface contamination control is required to prevent fluid filling issues during the resist filling process

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A. and B. are key areas of ongoing development

Page 14: Defect Reduction for Semiconductor Memory Applications

A. Surface Contamination on Wafers Soft contaminants are airborne organic contaminants that adsorb

onto wafers causing local fluid flow disruption induced defects. › These contaminants can cause high defects › They do not cause repeaters, mask surface treatment promotes “self-cleaning”

0102030405060708090

100

5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130

Impr

int S

peci

fic D

efec

ts #

/cm

2

Imprint Number

DD increate rate: 0.0028 pcs/cm2 per imprint

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Solution: Requires in-tool control of airborne contaminants

Page 15: Defect Reduction for Semiconductor Memory Applications

B. Sub-30 Particles Cause Line Breaks

Particles cause line break defects › Can cause high defects, and lead to repeaters › Mask cleaning (wet or dry) can recover most defects –

particles are predominantly soft organic particles

Establish Root-Cause by Introducing Sub-30nm Polystyrene Particles

Single Line Break Observed in 2xnm Half-Pitch Lines

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Solution: Requires in-line resist filtration; and in-situ mask cleaning

Page 16: Defect Reduction for Semiconductor Memory Applications

In-Line Sub-10nm Filtration

Sub-10nm inline multi-pass filtration installed in resist dispense system

› Has led to > two orders of magnitude reduction in defects at the 2x nm.

Two new generations of resist filtration improvements are planned, should lead to much lower defectivity

Recirculation system & Reservoir

Ink Jet

Resist Re- Fill bottle

Resist circulation Pump

10 nm filter

Hydra10 nm Filter

New recirculation filtration system

Vent

Waste bottle

Vent

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Page 17: Defect Reduction for Semiconductor Memory Applications

Mask Cleaning Addresses Line Plug Defects Defects Caused by Sub-30 Particles

90% 92% 94% 96% 98%

100% 102%

0 1 2

Def

ect D

ensi

ty

Reclaim #

2xnm features Preliminary results indicate >90% mask defect removal rate with cleaning

Implies mask plug defects are caused predominantly by soft polymeric contaminants

Now incorporating in-situ VUV cleaning systems on the stepper to extend mask life

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Page 18: Defect Reduction for Semiconductor Memory Applications

MII Confidential

Short Run Defectivity: Total Defect Density

Total defectivity at 2xnm CD is ~10 defect/cm2

Defect increase rate: 8x10-4/cm2 per imprint (2 adders/cm2 per lot)

Defect increase rate key to mask life of >500 wafers (20 lots) – To stay below 1 defect/cm2, requires 0.05 adders/cm2 per lot

Initial defectivity is from replica defects which will be <1/cm2 in 2013 Fluctuations in defect density are from surface contaminations Defect increase rate is from particles causing mask plugs

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Page 19: Defect Reduction for Semiconductor Memory Applications

MII Confidential

Long Run Defectivity: Over 12 Wafers

Device-like mask: 78% of each 26x33mm field consist of 2x nm fine features

Defect level is ~13 defect/cm2 with an increase rate of 5 adders/cm2 per lot

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Initial defectivity is from replica defects which will be <1/cm2 in 2013 Fluctuations in defect density are from surface contaminations Defect increase rate is from particles causing mask plugs

Page 20: Defect Reduction for Semiconductor Memory Applications

MII Confidential

3,281 1,680

3,380 437

276 132

37

4.7

426,563

1.E-01

1.E+00

1.E+01

1.E+02

1.E+03

1.E+04

1.E+05

1.E+06

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30

Impr

int A

dded

Def

ect D

ensit

y per

Lot

[#/cm

2]

Timeline (month)

Long Run Defectivity: Adders Over 1 Wafer Lot

Trend of imprint defect adder per lot (25 wafers)

Current (Q4 2012): › Defect increase rate: 4.7

adders/cm2 per lot (25 wafers)

2013 goal: › 1 adder/cm2 per 10 lots

(250 wafers)

2014 goal: › 1 adder/cm2 per 20 lots

(500 wafers)

Q4 2012

2011 2012

DRIVERS: Resist filtration Separation development

(HW/SW/Control/process) Resist improvement Imprint POR development

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Page 21: Defect Reduction for Semiconductor Memory Applications

Mask life limitations dominated by soft particles in resist.

Established final steps towards mask life target for production

2013 goal 0.1 >10x improvement each from resist filtration and inline mask cleaning 2014 goal <0.05

Status, end of 2012 <5

Defect adder/cm2 per lot Comments

Manufacturing target <0.05 20 lot mask replica life

Integrated in-stepper VUV mask cleaning is being implemented, based on >90% clean efficiency data expect to achieve an additional >10x improvement in mask life

Approach to Achieve >20 lot Mask Life

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Page 22: Defect Reduction for Semiconductor Memory Applications

Overview

J-FIL memory strategy and roadmap

Mask status

Wafer defect data › Defect mechanisms › Short-run vs. long-run defect trends › Approach to achieve >10 lot runs at low defectivity

Conclusions › Excellent overall progress towards manufacturing › Mask plans and resist processes in place for 1x nm

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Page 23: Defect Reduction for Semiconductor Memory Applications

Conclusions

Excellent progress in all aspects of patterning for manufacturing

Plans in place for memory production ramp in 2015

1x nm direct patterning being investigated for mask, nominal resist process exists

Focusing on CMOS memory due to defect tolerance

J-FIL has key advantages – Sub-10nm direct replication – Attractive cost structure due to low

cost tool and mask replication

Post etch BPM pattern on disk Baseline resist and etch process exists at 12nm half-pitch due to progress in HDD BPM

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