Selectivity compares the rates of a process on two specified materials under the same conditions. Etch and polish selectivity are often expressed as a removal-rate ratio; selective deposition instead compares growth behavior on different surfaces. A step label alone does not give that ratio. This article explains the measurement and the integration trade-offs behind selective removal and growth.
Where Selectivity Acts in the Flow
The free 40nm flow overview includes Oxide Etch, STI CMP, and Wet Etch Removal of Excess Nitride. These are relevant material-removal contexts. Their names and cross-sections do not report paired rates, so the figure cannot establish a numerical selectivity.
Etch and CMP panels show process context, not measured selectivity ratios.
Process checkpoint
Understand Oxide Etch in context
Inspect an oxide etch as selectivity context; no paired rates are reported.
Process context for “Selectivity in Semiconductor Manufacturing: Physical Principles, Process Control, and Advanced Node Evolution”: 40nm BSI CMOS Image Sensor · STI · Step 29
Physics & Mechanism
For a specified removal process, selectivity compares the measured removal rates of two named materials under the same conditions . It does not follow from bond labels alone: chemistry, ion energy, surface state, and geometry can change both rates. High selectivity can increase the margin against loss of a mask or stop layer, but endpoint control and absolute removal rates still matter.
CMP selectivity likewise compares material-specific removal under a chosen slurry, pad, and contact condition. A germanium CMP study shows that surface-active additives can change a particular material comparison ; a BEOL copper CMP evaluation supplies a separate interconnect context . Neither source establishes a universal ranking among copper, dielectric, and barrier materials or a friction signal for the linked 40nm station. Selective deposition needs a different definition based on growth or nucleation on two specified surfaces; it is not simply a removal-rate ratio with its sign reversed.
Process Principles
- Name both materials: a ratio has meaning only with a specified numerator, denominator, and process condition.
- Measure both rates: a favorable ratio does not by itself establish acceptable absolute loss or uniformity.
- Keep growth distinct: selective deposition is assessed through growth and unwanted nucleation, not a CMP removal ratio.
- Verify the flow: the linked step names supply material-removal context but no measured selectivity.
Challenges & Failure Modes
Rate ratios can change with chemistry, equipment condition, and pattern geometry. A mask or underlying film may still be lost when over-exposure is excessive, even with a favorable measured ratio. For selective deposition, unwanted nucleation on the excluded surface is a separate failure mode.
From Principle to Production Flow
The free 40nm flow overview names oxide etch, STI CMP, and nitride removal. These establish where material comparison would matter, not which material is spared or a numerical ratio. See dry etching, CMP, and wet etching for different mechanisms.
Technology Node Evolution
Thinner or more varied material stacks can narrow the acceptable loss margin. Selectivity and endpoint requirements must still be defined for the specific material pair and geometry; the cited CMP papers do not supply a node-wide trend.
Related Processes
Related examples include dry etching, wet etching, and CMP. A hard mask can be a protected material in an etch, while etch back may also require selectivity and endpoint control. Selective growth must be evaluated separately from material removal.
Future Outlook
Improved process control may allow more demanding material comparisons. Any claimed gain requires measured rates, uniformity, and protected-layer outcomes on the selected stack.
References
Controlling Germanium CMP Selectivity through Slurry Mediation by Surface Active Agents
Ayse Karagoz, G. Basim
BEOL Cu CMP Process Evaluation for Advanced Technology Nodes
K. Tanwar, D. Canaperi, M. Lofaro, W. Tseng, R. Patlolla, C. Penny et al.
Silicon VLSI Technology - Full
James D. Plummer, Michael D. Deal, Peter B. Griffin
Silicon VLSI Technology · ISBN 978-0130850379