Emerging Technologies & Research Focus - Intel€¦ · Emerging Technologies & Research Focus....

18
Mike Mayberry Director of Components Research VP, Technology and Manufacturing Group Intel Corporation June, 2010 Emerging Technologies & Research Focus

Transcript of Emerging Technologies & Research Focus - Intel€¦ · Emerging Technologies & Research Focus....

Page 1: Emerging Technologies & Research Focus - Intel€¦ · Emerging Technologies & Research Focus. Enabling a Steady Technology Cadence TECHNOLOGY GENERATION MANUFACTURING DEVELOPMENT

Mike MayberryDirector of Components Research

VP, Technology and Manufacturing Group

Intel Corporation

June, 2010

Emerging Technologies

& Research Focus

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Enabling a Steady Technology Cadence

TECHNOLOGY GENERATION

MANUFACTURING DEVELOPMENT RESEARCH

65nm

200545nm

200732nm

200922nm

201115nm

201311nm

20158nm

2017Beyond

2020

What to do now

to enable

these future

generations ?De

fin

ed

To

be

de

fin

ed

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Internal Research Development

15 nm 22 nm 32 nm11 nm

External Research

8 nmbeyond

Monitor Prune Integrate Productize Ramp

Ideal View of Research

Decide

Critical projects

Fill Gaps

Broad exploration

Create Options

Discovery

Enable long lead

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Some Key Areas

Material integration

– Research to understand & manage below 15nm features

– New materials which allow new functions

– Managing granularity at small dimensions

New function integration

– Moving difficult to scale into easier to scale

– Interfaces and interconnections

– New functionality to make a platform more valuable

Devices as part of a connected network

Discovery beyond our current visibility

Mechanisms to rationalize and mature the portfolio of research investments

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Future Visibility: Lithography

Current Status

1st gen EUV tools have 0.25NA, sub 0.5nm wave front error

Designs evaluated to 0.6NA

Process window to 23nm HP, currently resist limited

Needed Focus

Higher NA EUV

Revolutionary materials

Need progress on diffusion, sensitivity, integration

Exotic: ebeam, self-assembly

16 nm HP ZnO416nm L/S gratingusing EUV interference

(ZnO4)

20 nm L/S

17 nm L/S

Modeled MET resolution

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193i will coexist even when EUV ready

Line Doubling

2-D Features

More masksequal more

printed information

Edge Doubling

Edge Quadrupling

More densityfor given

printed information

0p

Alternate

Phase Shift

Conventional

Mask Structure

More printed informationFor given tool capability

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EUV insertion scenario – complementary lithography

Grating formation + 4 immersion masks = 5 Mask/Exp.

or 1 EUV mask = 2 Mask/Exp.

Complementary advantages

Allows use of 1st gen EUV tools = earlier start to development

Better line edge roughness, sharper corners

Less sensitive to mask defects

Common design rules

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Designing Materials with Smooth Grains

Source: A. De Silva, et al. Adv. Mater. 2008

D

PolymerMolecular

Glass

Molecular glass

+ Higher sensitivity at same resolution

- Lower mechanical strength (currently)

Polymer Blend

+ Mature materials platform

- Larger individual components

Need to engineer materials with components below 1nm

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Future Visibility: Devices

Current Status

Smallest Si devices functional to sub-10nm but poor on-off

Increasing dimensional challenge to incorporate strain

Needed Focus

New materials with bottoms-up fill to improve R & C

Higher mobility materials to allow voltage scaling

New device types, go vertical

Exotic: graphene, CNTTCNTCN TCN

Contacted gate pitch

QW III-V Device

5 nm5 nm

5nm

Nanowires

Graphene

CNT

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III-V Progress Scorecard Integration of III-V on Si – Feasibility demonstrated using MBE

– Intel paper @ IEDM 2007

Enhancement-mode operation – Feasibility demonstrated– MIT papers @ IEDM 2006 and 2007

– Intel paper @ IEDM 2007

III-V hole mobility (P-type) not high enough – Strain demo– Intel paper @ IEDM 2008

– Ge PMOS QW devices may be alternatives

Gate dielectric on III-V layers of interest – Demonstrated– Research on surface prep, novel materials

Scalability compared to Si devices unknown– Work started on self-alignment, alternative geometries

– Modeling efforts underway at universities and internal

Manufacturing tool feasibility

– Research tool selected

SourceDrain

40nm gate length

P-channel III-V

Gate

SourceDrain

40nm gate length

P-channel III-V

Gate

P-channel QW with strain In0.52Al0.48As bottom barrier

In0.7Ga0.3As QW

In0.52Al0.48As top barrier

InP etch stop

In0.53Ga0.47As cap

layer

M. Hudait et al, IEDM (2007)

InP

InAlAs

In0.7Ga0.3As QW

InAlAs Barrier

III-V Barrier

Ga

te

HiK HiK S/D

n+cap

S/D

n+cap

InP

InAlAs

In0.7Ga0.3As QW

InAlAs Barrier

III-V Barrier

Ga

te

HiK HiK S/D

n+cap

S/D

n+cap

S/D

n+cap

S/D

n+cap

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Future Visibility: Interconnects

Current Status

Bottoms-up fill okay to about 20-25nm, liner is the limiter

No “better than Cu” option

<20nm L/S might exceed dielectric breakdown limit

Needed Focus

Thin conformal plateable barrier

… or self forming barrier

Tall vias might use non-Cu

Non-SiO2 dielectrics

Exotic long interconnects: CNT (10’s um), optical (>mm)

5nm conformal Cu

24nmfilled via

On-chip opticalinterconnect~15nm Cu nanowire

CNT

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Optical Interconnects

Ref. I. Young, paper 28.1, ISSCC ’09

Nearer term: High bandwidth chip-chip interconnects

Longer term: On-chip interconnects

40 Gb/s

Ge

Cu

SiN

Cu

40Gbps at 2.7Vpp

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3-D Chip Stacking & Other ways to integrate

Top Chip

Bottom Chip

Package

+ High density chip-chip

connections

+ Small form factor

+ Combine dissimilar

technologies

? Added cost

? Degraded power delivery,

heat sinking

? Area impact on lower chip

Package

TSV

3-D chip stacking using through-silicon vias

CPU

MemoryTSV

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15nm

201311nm

20158nm

2017Beyond

2020

TECHNOLOGY GENERATION

MANUFACTURING DEVELOPMENT

45nm

200732nm

200922nm

2011

5 nm5 nm

5nm

Nanowire

10 atoms across

QW III-V Device

RESEARCH

Our limit to visibility goes out ~10 years

Carbon Nanotube

~1nm diameter

Silicon lattice is ~ 0.5nm, hard to imagine good devices smaller than 10 lattices across – reached in 2020

Graphene

1 atom thick

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Beyond 2020 and possible futures Conventional fabrication architectures continue

– Individual steps continue as 2D layers

– More and more layers stacked to give increasing function

Bilayer graphene structure

Theoretically >10000x less power

Graphene layers can couple together

and create a quantum condensateHigh resolution

TEM of graphene

Source: M. Gilbert et.al J Comput Electron (2009)

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Beyond 2020 and possible futures

Conventional fabrication architectures continue

– Individual steps continue as 2D layers

– More and more layers stacked to give increasing function

Increasing use of heterogeneous technologies and novel ways to combine technologies

– Mixture of tops-down and bottoms-up fabrication (ex. ALD, directed self assembly)

– Eliminating, reducing cost of interfaces (ex. stacking)

Step 2

A

Step 4

AB

Step 1

A

x

Step

3

A

By

xy

x

Crafting Films with Atomic Layer Deposition

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Beyond 2020 and possible futures

Conventional fabrication architectures continue

– Individual steps continue as 2D layers

– More and more layers stacked to give increasing function

• Concept based on spin wave generation, modulation and detection

• Multi-bit transmission and processing• No charge motion & Energy/bit = 1-100KT• Championed by the WIN center at UCLA

Spin wave majority phase logicInductive coupled antennas or STT device or MF elements

• Concept based on spin wave generation, modulation and detection

• Multi-bit transmission and processing• No charge motion & Energy/bit = 1-100KT• Championed by the WIN center at UCLA

Spin wave majority phase logicInductive coupled antennas or STT device or MF elements

• Concept based on spin wave generation, modulation and detection

• Multi-bit transmission and processing• No charge motion & Energy/bit = 1-100KT• Championed by the WIN center at UCLA

Spin wave majority phase logicInductive coupled antennas or STT device or MF elements

Source: UCLA/WIN center

Increasing use of heterogeneous technologies and novel ways to combine technologies

– Mixture of tops-down and bottoms-up fabrication

– Eliminating, reducing cost of interfaces

Non-binary or alternate state computation

– Same fabrication complexity, more value per function

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Discussion