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Overview

General comment

Production covered

Package built around small silicon bridges embedded in the organic substrate, which give fine-pitch die-to-die wiring without a full interposer.

Functional unit is one package STARTED: the reference flow is a single package entering assembly, and the activities listed run through completed assembly and final test of that package.

Modelling choices

By the count-once yield-ownership convention, the gross-up from packages started to good packages is carried by the consuming IC or component dataset, not here.

Technology
EMIB
Geography
Global average data from equipment vendor specifications and industry literature

System boundary

System boundary - Embedded Multi-die Interconnect Bridge packageSystem boundary figure: identity, gate in, entering flows, the dashed system boundary and the unit processes inside it, the reference product, emissions and waste, and below it the flows that are recorded but not quantified. No inventory quantities.Embedded Multi-die Interconnect Bridge packageGATE INRaw materials and sub-componentsENTERING FLOWSElectricityWaterProcess gasesProcess chemicalsMaterialsSYSTEM BOUNDARYMODELLED UNIT PROCESSES, BY CLASSInterconnectBEOL metal layerFOWLP RDL formationThermalLid attach cureAssemblyPackage singulationFlipchip bumpingBall attach reflowUnderfill dispenseLid attachTestPackage final test logic SoCOtherEMIB bridgeSubstrate build-up (PCB-class processes)PCB laminationPCB drillingREFERENCE PRODUCTEmbedded Multi-die InterconnectBridge packageAssembled and tested productEMISSIONS AND WASTEEmissions to airEmissions to waterWaste routesRECORDED BUT NOT QUANTIFIEDIn scope, left out of the quantified inventoryCut off below the significance threshold, or with no background dataset available - each is listed with its reason2FLOWSsystem boundaryreference flowentering flowemission / waste

The figure groups this dataset's unit processes by class. It is not a count of manufacturing steps — each process runs over as many passes as the flow requires, and those pass counts ship with the dataset.

Download this figure (SVG)

Data quality and references

Composite DQI 2.1 Good
Reliability
3.0
Completeness
2.6
Temporal
2.1
Geographic
2.0
Technological
1.1

Pedigree scores follow the ecoinvent data-quality matrix: 1 is the best attainable, 5 the weakest. The composite is their aggregate.

Sampling procedure
Equipment vendor specifications, academic papers, industry literature
Coverage status
Partial
Pedigree-scored source files
12 — the source records behind this dataset's manufacturing operations. Each carries the five pedigree axes above; the composite DQI aggregates them.

Technosphere inputs

28 flows. Quantities are not published; they ship with the dataset on Circa.

C4F8 production Process gasg · ±50%
Source citations
  • Plasma etching of high aspect ratio features in SiO2 using Ar/C4F8/O2 mixtures: A computational investigation JVA 2019
  • Extreme low-k porous pSiCOH dielectrics. JVB 2017
Upstream REEL dataset
Octafluorocyclobutane (c-C4F8)
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
±50% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
ArF Photoresist Process chemicalg · -32.3% / +57.9%
Derivation basis
  • Lithography parameters

The sources for this row are listed below.

Upstream REEL dataset
ArF Photoresist (193nm)
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
-32.3% / +57.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
TMAH Developer (2.38% solution) Process chemicalg · ±33%
Derivation basis
  • Developer usage

The sources for this row are listed below.

Source citations
  • 300mm wafer photoresist dispense. SPIE
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
±33% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
CMP Slurry (Copper) Process chemicalg · ±23.1%
Source citations
  • CMP process water and slurry consumption. NMFRC
  • Estimating CMP Process Mass Intensity. NCCAVS 2024
Upstream REEL dataset
Copper CMP Slurry
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
±23.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
BARC Process chemicalg · -33.3% / +33.4%
Source citations
  • 300mm wafer photoresist dispense. SPIE
Upstream REEL dataset
ArF Photoresist (193nm)
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
-33.3% / +33.4% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Polyimide (PMDA/ODA) Process chemicalg · -25% / +25.1%
Derivation basis
  • Calculated by the manufacturing model. The linked REEL dataset carries the upstream life cycle sources.

No source is attached to this row.

Source citations
Not stated
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
-25% / +25.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Water supply (municipal) Waterm3 · -37.2% / +53.8%
Derivation basis
  • Calculated from process-water and ultrapure-water demand across all manufacturing operations, plus facility water allocated to each finished unit. The fresh intake shown is that demand less the share reused under the water-recycling scenario this dataset assumes, and wastewater follows the same balance.

The sources below come from the manufacturing operations behind this row.

Sources (inherited)
Inherited, rolled up from the contributing process steps:
  • CMP process water and slurry consumption. NMFRC
  • Estimating CMP Process Mass Intensity. NCCAVS 2024
Upstream REEL dataset
Water Supply (Municipal)
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Net fresh-water intake, supplied as municipal water
Uncertainty
-37.2% / +53.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
m3
Kraft press paper Materialkg · -57.1% / +90.5%
Derivation basis
  • This flow is a consumable of the manufacturing operation. The model reads it from the operation's own inventory rather than from the product's bill of materials.

The sources for this row are listed below.

Source citations
Background data
ecoinvent 3.12
Background dataset
kraft paper
Uncertainty
-57.1% / +90.5% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Electricity, Taiwan (TW) ElectricitykWh · -63.6% / +122.1%
Derivation basis
  • Calculated from equipment energy across all manufacturing operations. It also includes the assembly site's facility overhead: air handling and cleanroom conditioning, chilled water, compressed dry air, exhaust and dust collection, wastewater treatment and uninterruptible power.

The sources below come from the manufacturing operations behind this row.

Sources (inherited)
Inherited, rolled up from the contributing process steps:
Background data
ecoinvent 3.12
Background dataset
electricity, medium voltage
Uncertainty
-63.6% / +122.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kWh
O2 Process gasg
Source citations
  • Plasma etching of high aspect ratio features in SiO2 using Ar/C4F8/O2 mixtures: A computational investigation JVA 2019
  • Extreme low-k porous pSiCOH dielectrics. JVB 2017
Background data
ecoinvent 3.12
Background dataset
oxygen, liquid
Uncertainty
No range defined.
Unit
g
Ar Process gasg · -46.3% / +62%
Source citations
  • Plasma etching of high aspect ratio features in SiO2 using Ar/C4F8/O2 mixtures: A computational investigation JVA 2019
  • Applied Materials Endura Impulse PVD
Background data
ecoinvent 3.12
Background dataset
argon, liquid
Uncertainty
-46.3% / +62% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
N2 Process gasg · -29.9% / +31.8%
Derivation basis
  • Cure atmosphere

The sources for this row are listed below.

Source citations
  • Applied Materials Endura Impulse PVD
Background data
ecoinvent 3.12
Background dataset
nitrogen, liquid
Uncertainty
-29.9% / +31.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
SiH4 Process gasg · -91.4% / +42.8%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
silicon tetrahydride
Uncertainty
-91.4% / +42.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
NH3 Process gasg · -93.7% / +57.9%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
ammonia, anhydrous, liquid
Uncertainty
-93.7% / +57.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Compressed air Process gasg · -29.9% / +40.6%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
compressed air, 700 kPa gauge
Uncertainty
-29.9% / +40.6% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Compressed air (tool) Process gasg · -33.4% / +66.6%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
compressed air, 700 kPa gauge
Uncertainty
-33.4% / +66.6% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Low-k Precursor (3MS/DEMS) Process chemicalg · ±33.4%
Source citations
  • Extreme low-k porous pSiCOH dielectrics. JVB 2017
  • PECVD low-k dielectric deposition. Patent US2018
Background data
proxy-mapped
Background dataset
silicone product
Uncertainty
±33.4% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
EBR Solvent (PGMEA) Process chemicalg · ±33.3%
Source citations
  • 300mm wafer photoresist dispense. SPIE
Background data
CarbonMinds
Background dataset
propylene glycol methyl ether acetate (PGMEA)
Uncertainty
±33.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Cavity adhesive (die attach film) Process chemicalg · -40% / +60%
Derivation basis
  • Die attach material estimate

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
epoxy resin insulator, SiO2
Uncertainty
-40% / +60% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Cu Plating Solution Process chemicalg · -40% / +60%
Derivation basis
  • Plating parameters

No source is attached to this row.

Source citations
Not stated
Background data
proxy-mapped
Background dataset
copper sulfate
Uncertainty
-40% / +60% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Cu plating bath (CuSO4 + H2SO4) Process chemicalg · -33.3% / +50%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
proxy-mapped
Background dataset
copper sulfate
Uncertainty
-33.3% / +50% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Flux (water soluble) Process chemicalg · -40% / +100%
Derivation basis
  • Flux type for FOWLP solder ball attach

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
flux, for wave soldering
Uncertainty
-40% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Capillary underfill (epoxy) Process chemicalg · -33.4% / +49.9%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
epoxy resin insulator, SiO2
Uncertainty
-33.4% / +49.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Thermal Interface Material (TIM1) Process chemicalg · -50.8% / +146.2%
Source citations
Background data
ecoinvent 3.12
Background dataset
silicone product
Uncertainty
-50.8% / +146.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Lid adhesive (silicone) Process chemicalg · -69% / +343.1%
Source citations
Background data
ecoinvent 3.12
Background dataset
silicone product
Uncertainty
-69% / +343.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Silicon with Cu routing Materialkg
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
silicon, electronics grade
Uncertainty
No range defined.
Unit
kg
BT resin + ABF buildup Materialunit
Derivation basis
  • Calculated by the manufacturing model. The linked REEL dataset carries the upstream life cycle sources.

No source is attached to this row.

Source citations
Not stated
Upstream REEL dataset
ABF Substrate
Background dataset
Modelled by REEL; see the upstream dataset above.
Uncertainty
No range defined.
Unit
unit
Cu Materialkg
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
copper, cathode
Uncertainty
No range defined.
Unit
kg

Outputs and waste

Wastewater Wastewaterm3 · -37.2% / +53.8%
Derivation basis
  • Calculated from the water balance: fresh-water input minus evaporation.

The sources below come from the manufacturing operations behind this row.

Sources (inherited)
Inherited, rolled up from the contributing process steps:
  • CMP process water and slurry consumption. NMFRC
  • Estimating CMP Process Mass Intensity. NCCAVS 2024
Background data
carried, no background dataset
Background dataset
No treatment route recorded for this output.
Uncertainty
-37.2% / +53.8% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
m3
CMP slurry waste Solid wasteg · ±23.1%
Source citations (dataset-level)
  • CMP process water and slurry consumption. NMFRC
  • Estimating CMP Process Mass Intensity. NCCAVS 2024
Source citations (dataset-level)
Inherited from this dataset's own bibliography, not tied to this row:
  • CMP process water and slurry consumption. NMFRC
  • Estimating CMP Process Mass Intensity. NCCAVS 2024
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, underground deposit
Uncertainty
±23.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Spent photoresist (liquid spin-off) Solid wasteg · -29.3% / +117.9%
Source citations
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, hazardous waste incineration, with energy recovery
Uncertainty
-29.3% / +117.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Spent EBR solvent (PGMEA) Solid wasteg · ±33.3%
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, hazardous waste incineration, with energy recovery
Uncertainty
±33.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Chamber deposits Solid wasteg · -85% / +0%
Derivation basis
  • Calculated from the mass balance of spent materials and consumables, with treatment selected from the waste classification.

The sources below are this dataset's own bibliography. They are not tied to this row.

Source citations (dataset-level)
Inherited from this dataset's own bibliography, not tied to this row:
  • 300mm wafer photoresist dispense. SPIE
  • Applied Materials Endura Impulse PVD
  • Plasma etching of high aspect ratio features in SiO2 using Ar/C4F8/O2 mixtures: A computational investigation JVA 2019
  • Extreme low-k porous pSiCOH dielectrics. JVB 2017
  • PECVD low-k dielectric deposition. Patent US2018
  • IPCC 2019 Guidelines Vol 3 Ch 6
  • EPA 40 CFR Part 98 Subpart I (2024)
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, underground deposit
Uncertainty
-85% / +0% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Dicing slurry (Si/EMC/Cu particles) Solid wasteg
Derivation basis
  • No retrievable public document identified

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, underground deposit
Uncertainty
No range defined.
Unit
g
Mixed process waste Solid wasteg
Derivation basis
  • Calculated from the mass balance of spent materials and consumables, with treatment selected from the waste classification.

The sources below come from the manufacturing operations behind this row.

Sources (inherited)
Inherited, rolled up from the contributing process steps:
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of inert waste, sanitary landfill
Uncertainty
No range defined.
Unit
g
Resin bleed-out Solid wasteg · -80% / +300%
Source citations
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of inert waste, sanitary landfill
Uncertainty
-80% / +300% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Kraft press paper Solid wasteg · -57.1% / +90.5%
Source citations
Background data
ecoinvent 3.12 treatment route
Background dataset
market for waste paperboard, sorted
Uncertainty
-57.1% / +90.5% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
FR-4 drill dust Solid wasteg · ±95.1%
Derivation basis
  • Calculated from the mass balance of spent materials and consumables, with treatment selected from the waste classification.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of inert waste, sanitary landfill
Uncertainty
±95.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Spent drill bits Solid wasteg · -86.8% / +32.2%
Source citations
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, underground deposit
Uncertainty
-86.8% / +32.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Dielectric spin-off Solid wasteg
Derivation basis
  • Dielectric dispense and waste rate

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of inert waste, sanitary landfill
Uncertainty
No range defined.
Unit
g
Photoresist solids in NMP strip bath Solid wasteg · -33.4% / +66.6%
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, hazardous waste incineration, with energy recovery
Uncertainty
-33.4% / +66.6% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Copper in wastewater-treatment sludge/recovery Solid wasteg · -2.5% / +0.5%
Background data
ecoinvent 3.12 treatment route
Background dataset
market for copper scrap, sorted, pressed
Uncertainty
-2.5% / +0.5% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g

Emissions to air

6 elementary flows released to air by this dataset's own operations. Quantities are not published; they ship with the dataset on Circa.

C4F8 Emission to airg
Derivation basis
  • Calculated from input and typical abatement

The sources below are this dataset's own bibliography. They are not tied to this row.

Source citations (dataset-level)
Inherited from this dataset's own bibliography, not tied to this row:
  • Plasma etching of high aspect ratio features in SiO2 using Ar/C4F8/O2 mixtures: A computational investigation JVA 2019
  • Extreme low-k porous pSiCOH dielectrics. JVB 2017
  • IPCC 2019 Guidelines Vol 3 Ch 6
  • EPA 40 CFR Part 98 Subpart I (2024)
Compartment
Air (non-urban air or from high stacks)
CAS number
115-25-3
ecoinvent 3.12 elementary flow
Tetrafluoromethane
Notes
Proxied to CF4 (Tetrafluoromethane) for ecoinvent linking. The two substances are not equivalent: this one has the substantially greater warming effect of the pair, so any characterization performed through this proxy link understates it. Use the substance's own factor rather than the proxy's.
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
NH3 Emission to airg
Derivation basis
  • Calculated as an air release, from a mass balance on the process gases going in, with the destruction or removal efficiency of any point-of-use abatement applied.

No source is attached to this row.

Source citations
Not stated
Compartment
Air (non-urban air or from high stacks)
CAS number
7664-41-7
ecoinvent 3.12 elementary flow
Ammonia
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
VOCs (from resist/dielectric) Emission to airg
Derivation basis
  • Engineering estimate based on material usage

No source is attached to this row.

Source citations
Not stated
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
NMVOC, non-methane volatile organic compounds
Uncertainty
No range defined.
Unit
g
Flux volatiles Emission to airg
Derivation basis
  • Calculated as an air release, from a mass balance on the process gases going in, with the destruction or removal efficiency of any point-of-use abatement applied.

No source is attached to this row.

Source citations
Not stated
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
NMVOC, non-methane volatile organic compounds
Uncertainty
No range defined.
Unit
g
VOCs (from underfill cure) Emission to airg
Derivation basis
  • Calculated as an air release, from a mass balance on the process gases going in, with the destruction or removal efficiency of any point-of-use abatement applied.

No source is attached to this row.

Source citations
Not stated
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
NMVOC, non-methane volatile organic compounds
Uncertainty
No range defined.
Unit
g
VOCs Emission to airg
Derivation basis
  • Calculated as an air release, from a mass balance on the process gases going in, with the destruction or removal efficiency of any point-of-use abatement applied.

No source is attached to this row.

Source citations
Not stated
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
NMVOC, non-methane volatile organic compounds
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g

Emissions to water

4 elementary flows released to water by this dataset's own operations. Quantities are not published; they ship with the dataset on Circa.

Cu2+ Emission to waterg
Compartment
Water (surface water)
Formula
Cu
CAS number
7440-50-8
ecoinvent 3.12 elementary flow
Copper ion
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
Sn2+ Emission to waterg
Source citations
Compartment
Water (surface water)
Formula
Sn
CAS number
7440-31-5
ecoinvent 3.12 elementary flow
Tin ion
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
Ammonium Emission to waterg
Source citations
Compartment
Water (surface water)
Formula
NH4+
CAS number
14798-03-9
ecoinvent 3.12 elementary flow
Ammonium
Notes
TMAH biodegrades in WWTP; NH4+ mass fraction 18.04/91.15
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g
Dissolved organics (COD) Emission to waterg
Source citations
Compartment
Water (surface water)
ecoinvent 3.12 elementary flow
COD, Chemical Oxygen Demand
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g

Flows not quantified

2 flows are recorded for this dataset but carry no quantity — cut off below the significance threshold, or with no background dataset available. They remain inside the declared system boundary; each is listed with its reason.

Cut off - below the significance threshold (2)

Seed Etchant (Cu/Ti) Process chemicalg · -40% / +60%
Derivation basis
  • Etching parameters

No source is attached to this row.

Source citations
Not stated
Background data
cut off
Background dataset
Not applicable: this flow is not quantified in the inventory.
Reason
Seed-layer removal is a wet-bench step using phosphoric acid for tantalum-based seed layers, or sulfuric acid with hydrogen peroxide for copper. Those acids are already tracked in this inventory's wet chemistry, and the additional consumption for seed removal alone is minimal, so no separate upstream production dataset is attached.
Uncertainty
-40% / +60% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
SnAg plating bath (MSA-based) Process chemicalg · -40% / +60%
Derivation basis
  • Solder plating bath

No source is attached to this row.

Source citations
Not stated
Background data
cut off
Background dataset
Not applicable: this flow is not quantified in the inventory.
Reason
The tin-silver plating bath is consumed in trace quantity and its formulation is complex, recorded in this inventory. This row covers the bath chemistry alone; the tin and silver the bath deposits onto the package are not carried on it. Where this dataset lists no separate deposited-solder material row, the deposited tin and silver are absent from the dataset altogether rather than accounted for elsewhere, and whether they belong inside this boundary is an open question this record does not settle. The bath chemistry falls below the declared cut-off threshold, so no upstream production dataset is attached.
Uncertainty
-40% / +60% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g

Limitations and unquantified flows (4)

Limits this dataset declares about itself: first any limit stated in its own description, then any limit it declares flow by flow, grouped by channel. Each entry below is the model's own disclosure.

From the dataset description

  • The fate of the copper removed at the back-end metal-layer polishing step is unresolved in this inventory. No route is asserted for it, so no row here identifies that copper leaving in the wastewater or in the polishing residue. The copper rows this dataset publishes come from the package's copper wastewater balance at the facility outfall and do not cover the metal-layer step.

General

  • The uncertainty range on this dataset's abated fluorinated-gas emissions to air is the range of the incoming gas, carried through in proportion. It does not widen for how much of the gas is consumed in the reaction, or for how completely the abatement destroys what is left; both of those are held at their central values on this dataset. Wafer datasets do carry those two through into the range, so the range published here is narrower than the one a wafer dataset publishes for the same kind of emission.
  • These materials are used at a step of the modelled flow and are also carried by this dataset's own material list. Each is counted once, on that list, and the step does not book it again: Bridge wafer fab uses Cu sputtering target and Cu electroplating anode; ABF buildup and fine line patterning uses Cu sputtering target and Cu electroplating anode; Die bumping uses Copper (anode or replenishment).
  • Some consumable pulls referenced by the modelled process steps did not resolve to an inventory row and are absent from this dataset. They are itemised in the dataset's own export audit.

The flows above are this dataset's own records. What follows are the scope rules set once for the whole database in the methodology report, repeated here so every dataset page carries them.

Database-wide boundary policy — applies to every REEL dataset

These boundaries are set once for the whole database, in Chapter 2 of the methodology report, and apply to this dataset wherever they are relevant to it. The excluded flows listed above are specific to this dataset.

Use phase
Product operation is outside the cradle-to-gate scope.
End-of-life treatment
Recycling and disposal are outside the cradle-to-gate scope.
Distribution and retail
The gate is a finished component ready for integration into a higher-level assembly.
Inbound transport of raw materials
Transport of purchased raw materials to the manufacturing facility is already inside the upstream "market for" datasets that users link to a background database, so it is not modelled a second time here. This does not cover freight between REEL production stages, which is modelled where a dataset authors it.
Returnable shipping containers
Where freight between production stages is modelled, the mass moved is the product itself. The shipping container (FOSB, SEMI M31) is returnable capital equipment whose per-trip share is unsourced, so its tare is excluded from the transport effort.
Photomask fabrication
A mask set's embodied burden is amortised across a high-volume production run and is not attributed per wafer. Users assessing low-volume production should add mask fabrication separately; the methodology report gives the basis for the exclusion.
Employee transport, administration and R&D overhead
Employee transportation, facility administration and R&D/pilot-production overhead are outside scope.
Capital goods
Manufacturing equipment, cleanroom construction and facility infrastructure are excluded, on the grounds of absent public data on equipment embodied energy, uncertainty in equipment lifetime and allocation, common practice in electronics LCA, and a focus on the operational inventory. Future versions may include capital goods when sufficient public data becomes available.
Precious metal recovery credits
Scrap recovery credits for precious metals are excluded pending data availability.
Wafer reclaim
Test wafers and scrap are outside the system boundary.

Inside the boundary, linked rather than modelled

Silicon ingot growth and wafer slicing
Inside the cradle-to-gate scope, but treated as upstream material inputs linked to background databases rather than modelled as REEL processes.
Freight between production stages
Where a dataset's product moves between REEL production stages - wafer fabrication to the packaging site, for example - that leg is authored as a transport service and linked to an ecoinvent freight activity. It is measured as a transport effort in tonne-kilometres, not as a mass. Route distances are authored per route class with a stated band; a lower bound of zero is a modelling statement that the two sites can be co-located, not a missing value.

Cut-off criteria

A flow is excluded from a process inventory when it contributes less than 1 % of the total mass of inputs to that unit process, or less than 1 % of its total energy input. The denominator is total process inputs, not product mass. That distinction matters in semiconductor manufacturing, where the input mass of water, chemicals and gases greatly exceeds the product mass, so the threshold removes only genuinely minor flows.

Included regardless of the cut-off

  • Perfluorocarbons (CF4, C2F6, SF6, NF3) - high GWP, EPA regulated
  • Heavy metals (Pb, Cd, Hg, Cr(VI)) - RoHS regulated, high toxicity
  • Volatile organics (photoresist solvents, PGMEA) - air quality
  • Precious metals (Au, Ag, Pd, Pt) - high embodied impacts
  • Ozone-depleting substances (legacy CFCs, HCFCs) - Montreal Protocol