Semiconductor Wet Processing

De-Risk Wet Processing Chemistry at Advanced Nodes


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Advanced nodes demand tighter process control, yet CMP, etch, and cleaning chemistry development still relies heavily on empirical screening.


Every slurry adjustment, etch bath reformulation, or cleaning chemistry change can trigger weeks to months of wafer-level experiments with most candidates failing late.


The key chemistry happens at the wafer–solution interface, where adsorption, dissolution, passivation, particles, and contaminants control removal rate, selectivity, defectivity and yield. But these molecular events are difficult to observe directly under process conditions.


Compular Lab simulates wafer–solution interactions before fab-scale testing, helping teams understand mechanisms, screen chemistries faster, and reduce failed experimental cycles.


Ionic Liquids for Advanced Processing

You're running wafer-level polish trials to learn what your slurry is doing at the nanometre scale.

Ionic liquids offer wide electrochemical stability windows, low volatility, and tuneable solvation for electrodeposition, surface treatment, and precision cleaning.


But their design space is complex. Cation–anion–additive interactions can drive non-intuitive viscosity, conductivity, and interfacial behaviour that shifts with temperature and composition.


Measuring every mixture is slow, and bulk data rarely explains the molecular interactions behind performance.


Compular Lab models ionic liquid mixtures before experimental screening, helping you predict transport, thermal stability, solvation and interface behaviour across targeted formulation space.


Transport properties

(density, viscosity, ionic conductivity) across your composition and temperature space, validated against experimental benchmarks

Ion transport mechanisms

ions movement by vehicular transport vs. structural diffusion and how that ratio shifts with composition

Solvation structure

of your target ion in each candidate system

Electrode interface structure

how the ionic liquid reorganises at a charged surface under applied potential

Ionic Liquids for Advanced Processing

You're running wafer-level polish trials to learn what your slurry is doing at the nanometre scale.

Ionic liquids offer wide electrochemical stability windows, low volatility, and tuneable solvation for electrodeposition, surface treatment, and precision cleaning.


But their design space is complex. Cation–anion–additive interactions can drive non-intuitive viscosity, conductivity, and interfacial behaviour that shifts with temperature and composition.


Measuring every mixture is slow, and bulk data rarely explains the molecular interactions behind performance.


Compular Lab models ionic liquid mixtures before experimental screening, helping you predict transport, thermal stability, solvation and interface behaviour across targeted formulation space.


Transport properties

(density, viscosity, ionic conductivity) across your composition and temperature space, validated against experimental benchmarks

Transport properties

(density, viscosity, ionic conductivity) across your composition and temperature space, validated against experimental benchmarks

Ion transport mechanisms

ions movement by vehicular transport vs. structural diffusion and how that ratio shifts with composition

Ion transport mechanisms

ions movement by vehicular transport vs. structural diffusion and how that ratio shifts with composition

Solvation structure

of your target ion in each candidate system

Solvation structure

of your target ion in each candidate system

Electrode interface structure

how the ionic liquid reorganises at a charged surface under applied potential

Electrode interface structure

how the ionic liquid reorganises at a charged surface under applied potential

CMP Slurry Formulation

Model the Slurry–Wafer Interface Before Testing

Every oxidiser change, surfactant package, or pH adjustment means preparing wafers, running polish tests, and measuring removal rate and defectivity.


A full additive screen across multiple concentrations can take months and most candidates fail.


The missing insight is molecular: which species form in the slurry, how they arrange at the wafer surface, and why one additive improves removal, selectivity, or defectivity while another fails.

Speciation and solvation

which ionic clusters dominate across composition and pH

Speciation and solvation

which ionic clusters dominate across composition and pH

Near-surface chemistry

how species shift with oxidiser concentration near the wafer

Near-surface chemistry

how species shift with oxidiser concentration near the wafer

Electric double layer structure

the molecular detail behind zeta-potential trends

Electric double layer structure

the molecular detail behind zeta-potential trends

Transport properties

viscosity and ionic conductivity before mixing a batch

Transport properties

viscosity and ionic conductivity before mixing a batch

Wafer Cleaning Chemistry

Understand wet etch selectivity before re-qualification.

Your wet etch process may deliver reliable selectivity on known stacks, but every new dielectric, metal layer, or geometry can force a full bath re-qualification.


Formulate, dip, measure, adjust, then repeat for weeks.

The problem is transferability: if the process was tuned only to outcomes, the knowledge often breaks when the stack changes.


Compular Lab models wet etch chemistry at the molecular level helping you connect bath speciation, surface reaction energetics, and material selectivity before the next stack change.Also applicable for HF-based, mixed acid and alkaline etch baths or Oxide, nitride and metal surface chemistries.


Reactive speciation

active species in H₂O₂-based and mixed-acid baths across composition and temperature

Reactive speciation

active species in H₂O₂-based and mixed-acid baths across composition and temperature

Cleaning pathways

which species remove contaminants and which create unwanted byproducts

Cleaning pathways

which species remove contaminants and which create unwanted byproducts

Surface reorganisation

how dissolved species arrange at charged wafer surfaces as bath chemistry changes

Surface reorganisation

how dissolved species arrange at charged wafer surfaces as bath chemistry changes

Wet Etch Chemistry

Understand wet etch selectivity before re-qualification.

Your wet etch process may deliver reliable selectivity on known stacks, but every new dielectric, metal layer, or geometry can force a full bath re-qualification.


Formulate, dip, measure, adjust, then repeat for weeks.

The problem is transferability: if the process was tuned only to outcomes, the knowledge often breaks when the stack changes.


Compular Lab models wet etch chemistry at the molecular level helping you connect bath speciation, surface reaction energetics, and material selectivity before the next stack change.Also applicable for HF-based, mixed acid and alkaline etch baths or Oxide, nitride and metal surface chemistries.


Reactive speciation

which etch species are present, and how they shift with composition, temperature, and pH

Etch mechanisms

first-step reaction pathways, energetics, barriers, and activation energies on target surfaces

Selectivity drivers

why one material etches faster than another, grounded in reaction energetics rather than rate data alone

Bath applicability

HF-based, mixed-acid, and alkaline systems for oxide, nitride, and metal surfaces

Reactive speciation

which etch species are present, and how they shift with composition, temperature, and pH

Reactive speciation

which etch species are present, and how they shift with composition, temperature, and pH

Etch mechanisms

first-step reaction pathways, energetics, barriers, and activation energies on target surfaces

Etch mechanisms

first-step reaction pathways, energetics, barriers, and activation energies on target surfaces

Selectivity drivers

why one material etches faster than another, grounded in reaction energetics rather than rate data alone

Selectivity drivers

why one material etches faster than another, grounded in reaction energetics rather than rate data alone

Bath applicability

HF-based, mixed-acid, and alkaline systems for oxide, nitride, and metal surfaces

Bath applicability

HF-based, mixed-acid, and alkaline systems for oxide, nitride, and metal surfaces

Electroplating for Advanced Packaging

Your accelerator-suppressor-leveler system is a black box. You're tuning it blind.

Cu damascene and TSV plating depend on how additives compete for the copper surface under current.


Hull cell tests and dose-response curves show what works under one condition, but not why. Change current density, feature geometry, or bath temperature, and the process often needs re-optimising.


Void formation, seams, and overburden non-uniformity all start with molecular-scale competition at the electrode.

Applications: Acid copper, alloy, and barrier plating. Damascene, through-silicon via and advanced packaging applications.

Additive distribution

how accelerators, suppressors, and levelers partition near the copper surface under applied potential

Additive distribution

how accelerators, suppressors, and levelers partition near the copper surface under applied potential

Adsorption competition

Of each additive as a function of electrode potential and bulk concentration — a mechanistic picture of the competition that controls fill quality

Adsorption competition

Of each additive as a function of electrode potential and bulk concentration — a mechanistic picture of the competition that controls fill quality

Electrochemical stability

which additives break down parasitically, and through which pathways

Electrochemical stability

which additives break down parasitically, and through which pathways

Bulk transport properties

conductivity and viscosity across composition space

Bulk transport properties

conductivity and viscosity across composition space

Hazardous Chemistry Pre-Screening

Your most effective process chemistries are also the most dangerous. Lab safety is throttling your experimental throughput.

HF-based etch baths, piranha cleans, fuming acid mixtures, and high-temperature reactive liquids impose handling constraints that cap the pace of iteration. Every new formulation variant that enters the wet bench means PPE, waste handling, ventilation, regulatory compliance. Your experimental throughput on the most chemically aggressive chemistries is a fraction of what the roadmap demands.

Key formulation properties

viscosity, conductivity, speciation, and volatility-related indicators before handling

Key formulation properties

viscosity, conductivity, speciation, and volatility-related indicators before handling

Safety-aware formulation trade-offs

ranking candidates by target performance while constraining safety-relevant properties

Safety-aware formulation trade-offs

ranking candidates by target performance while constraining safety-relevant properties

Reactive decomposition pathways

what breaks down, what forms, and which byproducts may increase handling or compatibility risk

Reactive decomposition pathways

what breaks down, what forms, and which byproducts may increase handling or compatibility risk

Wet-bench prioritisation

narrowing large formulation sets to the candidates most worth testing

Wet-bench prioritisation

narrowing large formulation sets to the candidates most worth testing

CMP Slurry Formulation

Model the Slurry–Wafer Interface Before Testing

Every oxidiser change, surfactant package, or pH adjustment means preparing wafers, running polish tests, and measuring removal rate and defectivity.


A full additive screen across multiple concentrations can take months and most candidates fail.


The missing insight is molecular: which species form in the slurry, how they arrange at the wafer surface, and why one additive improves removal, selectivity, or defectivity while another fails.

Speciation and solvation

which ionic clusters dominate across composition and pH

Near-surface chemistry

how species shift with oxidiser concentration near the wafer

Electric double layer structure

the molecular detail behind zeta-potential trends

Transport properties

viscosity and ionic conductivity before mixing a batch

Wafer Cleaning Chemistry

Understand wet etch selectivity before re-qualification.

Your wet etch process may deliver reliable selectivity on known stacks, but every new dielectric, metal layer, or geometry can force a full bath re-qualification.


Formulate, dip, measure, adjust, then repeat for weeks.

The problem is transferability: if the process was tuned only to outcomes, the knowledge often breaks when the stack changes.


Compular Lab models wet etch chemistry at the molecular level helping you connect bath speciation, surface reaction energetics, and material selectivity before the next stack change.Also applicable for HF-based, mixed acid and alkaline etch baths or Oxide, nitride and metal surface chemistries.


Reactive speciation

active species in H₂O₂-based and mixed-acid baths across composition and temperature

Cleaning pathways

which species remove contaminants and which create unwanted byproducts

Surface organisation

how dissolved species arrange at charged wafer surfaces as bath chemistry changes

Electroplating for Advanced Packaging

Your accelerator-suppressor-leveler system is a black box. You're tuning it blind.

CCu damascene and TSV plating depend on how additives compete for the copper surface under current.


Hull cell tests and dose-response curves show what works under one condition, but not why. Change current density, feature geometry, or bath temperature, and the process often needs re-optimising.


Void formation, seams, and overburden non-uniformity all start with molecular-scale competition at the electrode.

Applications: Acid copper, alloy, and barrier plating. Damascene, through-silicon via and advanced packaging applications.

Additive distribution

how accelerators, suppressors, and levelers partition near the copper surface under applied potential

Additive distribution

how accelerators, suppressors, and levelers partition near the copper surface under applied potential

Adsorption competition

Of each additive as a function of electrode potential and bulk concentration — a mechanistic picture of the competition that controls fill quality

Adsorption competition

Of each additive as a function of electrode potential and bulk concentration — a mechanistic picture of the competition that controls fill quality

Electrochemical stability

which additives break down parasitically, and through which pathways

Electrochemical stability

which additives break down parasitically, and through which pathways

Bulk transport properties

conductivity and viscosity across composition space

Bulk transport properties

conductivity and viscosity across composition space

Hazardous Chemistry Pre-Screening

Screen Hazardous Chemistries Before the Wet Bench

Some of the most effective process chemistries are also the hardest to test safely.


HF-based etch baths, piranha cleans, fuming acid mixtures, and high-temperature reactive liquids slow experimental iteration through PPE, waste handling, ventilation, and compliance requirements.


As a result, the chemistries most critical to the roadmap can become the slowest to optimise.


Applications: HF-based, strong-oxidiser, and high-temperature chemistries for etch, clean, and surface treatment workflows.

Key formulation properties

viscosity, conductivity, speciation, and volatility-related indicators before handling

Key formulation properties

viscosity, conductivity, speciation, and volatility-related indicators before handling

Safety-aware formulation trade-offs

ranking candidates by target performance while constraining safety-relevant properties

Safety-aware formulation trade-offs

ranking candidates by target performance while constraining safety-relevant properties

Reactive decomposition pathways

what breaks down, what forms, and which byproducts may increase handling or compatibility risk

Reactive decomposition pathways

what breaks down, what forms, and which byproducts may increase handling or compatibility risk

Wet-bench prioritisation

narrowing large formulation sets to the candidates most worth testing

Wet-bench prioritisation

narrowing large formulation sets to the candidates most worth testing

Wafer Cleaning Chemistry

Your cell performance depends on what happens when ions pack into sub-nanometre pores. You can't measure that directly.

Understand wet etch selectivity before re-qualification.

YoYour wet etch process may deliver reliable selectivity on known stacks, but every new dielectric, metal layer, or geometry can force a full bath re-qualification.


Formulate, dip, measure, adjust, then repeat for weeks.

The problem is transferability: if the process was tuned only to outcomes, the knowledge often breaks when the stack changes.


Compular Lab models wet etch chemistry at the molecular level helping you connect bath speciation, surface reaction energetics, and material selectivity before the next stack change.Also applicable for HF-based, mixed acid and alkaline etch baths or Oxide, nitride and metal surface chemistries.


Reactive speciation

active species in H₂O₂-based and mixed-acid baths across composition and temperature

Reactive speciation

active species in H₂O₂-based and mixed-acid baths across composition and temperature

Cleaning pathways

which species remove contaminants and which create unwanted byproducts

Cleaning pathways

which species remove contaminants and which create unwanted byproducts

Surface reorganisation

how dissolved species arrange at charged wafer surfaces as bath chemistry changes

Surface reorganisation

how dissolved species arrange at charged wafer surfaces as bath chemistry changes

Wet Etch Chemistry

Understand wet etch selectivity before re-qualification.

Your wet etch process may deliver reliable selectivity on known stacks, but every new dielectric, metal layer, or geometry can force a full bath re-qualification.


Formulate, dip, measure, adjust, then repeat for weeks.

The problem is transferability: if the process was tuned only to outcomes, the knowledge often breaks when the stack changes.


Compular Lab models wet etch chemistry at the molecular level helping you connect bath speciation, surface reaction energetics, and material selectivity before the next stack change.Also applicable for HF-based, mixed acid and alkaline etch baths or Oxide, nitride and metal surface chemistries.


Reactive speciation

which etch species are present, and how they shift with composition, temperature, and pH

Reactive speciation

which etch species are present, and how they shift with composition, temperature, and pH

Etch mechanisms

first-step reaction pathways, energetics, barriers, and activation energies on target surfaces

Etch mechanisms

first-step reaction pathways, energetics, barriers, and activation energies on target surfaces

Selectivity drivers

why one material etches faster than another, grounded in reaction energetics rather than rate data alone

Selectivity drivers

why one material etches faster than another, grounded in reaction energetics rather than rate data alone

Bath applicability

HF-based, mixed-acid, and alkaline systems for oxide, nitride, and metal surfaces

Bath applicability

HF-based, mixed-acid, and alkaline systems for oxide, nitride, and metal surfaces

Wet Etch Chemistry

Understand wet etch selectivity before re-qualification.

Your wet etch process may deliver reliable selectivity on known stacks, but every new dielectric, metal layer, or geometry can force a full bath re-qualification.


Formulate, dip, measure, adjust, then repeat for weeks.

The problem is transferability: if the process was tuned only to outcomes, the knowledge often breaks when the stack changes.


Compular Lab models wet etch chemistry at the molecular level helping you connect bath speciation, surface reaction energetics, and material selectivity before the next stack change.Also applicable for HF-based, mixed acid and alkaline etch baths or Oxide, nitride and metal surface chemistries.


Reactive speciation

which etch species are present, and how they shift with composition, temperature, and pH

Etch mechanisms

first-step reaction pathways, energetics, barriers, and activation energies on target surfaces

Selectivity drivers

why one material etches faster than another, grounded in reaction energetics rather than rate data alone

Bath applicability

HF-based, mixed-acid, and alkaline systems for oxide, nitride, and metal surfaces

Electroplating for Advanced Packaging

See how plating additives compete at the copper surface.

Cu damascene and TSV plating depend on how additives compete for the copper surface under current.


Hull cell tests and dose-response curves show what works under one condition, but not why. Change current density, feature geometry, or bath temperature, and the process often needs re-optimising.


Void formation, seams, and overburden non-uniformity all start with molecular-scale competition at the electrode.

Applications: Acid copper, alloy, and barrier plating. Damascene, through-silicon via and advanced packaging applications.


Additive distribution

how accelerators, suppressors, and levelers partition near the copper surface under applied potential

Adsorption competition

which species dominate as potential and bulk concentration change

Electrochemical stability

which additives break down parasitically, and through which pathways

Bath transport properties

conductivity and viscosity across composition space

Hazardous Chemistry

Pre-Screening

Screen Hazardous Chemistries Before the Wet Bench

Some of the most effective process chemistries are also the hardest to test safely.


HF-based etch baths, piranha cleans, fuming acid mixtures, and high-temperature reactive liquids slow experimental iteration through PPE, waste handling, ventilation, and compliance requirements.


As a result, the chemistries most critical to the roadmap can become the slowest to optimise.


Applications: HF-based, strong-oxidiser, and high-temperature chemistries for etch, clean, and surface treatment workflows.


Key formulation properties

viscosity, conductivity, speciation, and volatility-related indicators before handling

Safety-aware formulation trade-offs

ranking candidates by target performance while constraining safety-relevant properties

Reactive decomposition pathways

what breaks down, what forms, and which byproducts may increase handling or compatibility risk

Wet-bench prioritisation

narrowing large formulation sets to the candidates most worth testing

Semiconductor Wet Processing

Molecular Simulation for Semiconductor Wet Processing

Semiconductor Wet Processing

De-Risk Wet Processing Chemistry at Advanced Nodes

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What is Compular Lab?

How does Compular Lab help material development?

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What types of material properties can Compular Lab analyse?

Can you simulate multi-component systems such as electrolytes or complex formulations?

Can you simulate electrolytes as a function of temperature and voltage?

Do you provide molecular-level insights?

Does Compular Lab run simulations automatically?

Is there a demo or trial version available?

What makes Compular Lab different from traditional material R&D?

Frequently Asked Questions

Frequently Asked Questions

What is Compular Lab?

How does Compular Lab help material development?

Who can use Compular Lab?

What types of material properties can Compular Lab analyse?

Can you simulate multi-component systems such as electrolytes or complex formulations?

Can you simulate electrolytes as a function of temperature and voltage?

Do you provide molecular-level insights?

Does Compular Lab run simulations automatically?

Is there a demo or trial version available?

What makes Compular Lab different from traditional material R&D?

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Accelerate materials discovery
with AI & multiscale simulations.

Compular turns complex molecular design into fast, reliable predictions, helping researchers innovate and drive sustainable solutions.

Image

Accelerate materials discovery
with AI & multiscale simulations.

Compular turns complex molecular design into fast, reliable predictions, helping researchers innovate and drive sustainable solutions.

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Compular helps teams predict molecular properties faster using multiscale modelling and AI, cutting experimental costs and accelerating innovation.


Newsletter

Get tips, product updates, and insights on working smarter with material R&D

© 2025 Alwork. All rights reserved.

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Compular helps teams predict molecular properties faster using multiscale modelling and AI, cutting experimental costs and accelerating innovation.


Newsletter

Get tips, product updates, and insights on working smarter with material R&D

© 2025 Alwork. All rights reserved.

Powered by Framer

Logo

Compular helps teams predict molecular properties faster using multiscale modelling and AI, cutting experimental costs and accelerating innovation.


Newsletter

Get tips, product updates, and insights on working smarter with material R&D

© 2025 Alwork. All rights reserved.

Powered by Framer