Chip Manufacturing
KLA’s advanced process control and process enabling solutions support integrated circuit manufacturing. Using KLA’s comprehensive portfolio of defect inspection, review, metrology, patterning simulation, in situ process monitoring and data analytics systems, IC manufacturers can manage yield and reliability throughout the chip fabrication process - from research and development to final volume production. SPTS provides deposition process solutions for insulating materials and conducting metals that cover a range of chip manufacturing process steps. IC manufacturers use KLA's array of products and solutions to help accelerate their development and production ramp cycles, to achieve higher semiconductor die yield and improved IC quality, and to improve overall profitability in the IC manufacturing process.
Topics
- Chip
- Data Analytics
- Process Control
- Process Controllers
- Process Monitoring
- Processing
- IC
- Developers
- Development
- Acceleration
- Accelerators
- Analytics
- Arrays
- Circuit
- Conductance
- Conductivity
- Control
- Controllers
- Data
- Defect
- Deposition
- Fabric
- Metrology
- Monitoring
- Monitors
- Quality
- Ramp
- Reliability
- Semiconductor
- Semi-conductor
- Simulation
- Simulators
- Systems
-
Product
Defect Inspection and Review
-
KLA’s defect inspection and review systems cover the full range of yield applications within the chip and wafer manufacturing environments, including incoming process tool qualification, wafer qualification, research and development, and tool, process and line monitoring. Patterned and unpatterned wafer defect inspection and review systems find, identify and classify particles and pattern defects on the front surface, back surface and edge of the wafer. This information allows engineers to detect, resolve and monitor critical yield excursions, resulting in faster yield ramp and higher production yield.
-
Product
Metrology
-
KLA’s metrology systems address a range of chip and substrate manufacturing applications, including verification of design manufacturability, new process characterization and high volume manufacturing process monitoring. By providing precise measurement of pattern dimensions, film thicknesses, layer-to-layer alignment, pattern placement, surface topography and electro-optical properties, our comprehensive set of metrology systems allows chip manufacturers to maintain tight control of their processes for improved device performance and yield.
-
Product
Data Analytics
-
KLA’s data analytics systems centralize and analyze the data produced by inspection, metrology and process systems. Using advanced data analysis, modeling and visualization capabilities, our comprehensive suite of data analytics products support applications such as run-time process control, defect excursion identification, wafer and reticle dispositioning, scanner and process corrections, and defect classification. By providing chip and wafer manufacturers with relevant root cause information, our data management and analysis systems accelerate yield learning rates and reduce production risk.
-
Product
Patterning Simulation
-
KLA’s patterning simulation systems use advanced models to explore critical-feature designs, manufacturability and process-limited yield of proposed lithography and patterning technologies. Our patterning simulation software allows researchers to evaluate advanced patterning technologies, such as EUV lithography and multiple patterning techniques, without the time and expense of printing hundreds of test wafers using experimental materials and prototype process equipment.
-
Product
In Situ Process Management
-
KLA’s comprehensive portfolio of SensArray® products enables in situ monitoring of process tools’ environments. With wired and wireless sensor wafers and reticles, an automation package and data analysis systems, SensArray products provide comprehensive information for a wide range of wafer and reticle processes. Wafer process equipment manufacturers, IC manufacturers and reticle manufacturers use SensArray data to visualize, diagnose and control process conditions.




