Benjamin Cherian
44Patents
6h-index
37Co-inventors
65Inventor score
Filing activity: Oct 23, 2012 → Sep 21, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10478937B2 | Acoustic emission monitoring and endpoint for chemical mechanical polishing | Performing Operations; Transporting | 13 | Active |
| US9490186B2 | Limiting adjustment of polishing rates during substrate polishing | Electricity | 11 | Active |
| US10795346B2 | Machine learning systems for monitoring of semiconductor processing | Emerging Cross-Sectional Technologies | 9 | Active |
| US10994389B2 | Polishing apparatus using neural network for monitoring | Electricity | 8 | Active |
| US9227293B2 | Multi-platen multi-head polishing architecture | Performing Operations; Transporting | 7 | Active |
| US9551567B2 | Reducing noise in spectral data from polishing substrates | Electricity | 6 | Active |
| US8992286B2 | Weighted regression of thickness maps from spectral data | Performing Operations; Transporting | 4 | Active |
| US9242337B2 | Dynamic residue clearing control with in-situ profile control (ISPC) | Performing Operations; Transporting | 4 | Active |
| US10969773B2 | Machine learning systems for monitoring of semiconductor processing | Emerging Cross-Sectional Technologies | 3 | Active |
| US9833874B2 | Applying dimensional reduction to spectral data from polishing substrates | Electricity | 3 | Active |
| US9375824B2 | Adjustment of polishing rates during substrate polishing with predictive filters | Physics | 3 | Active |
| US9056383B2 | Path for probe of spectrographic metrology system | Performing Operations; Transporting | 2 | Active |
| US11780047B2 | Determination of substrate layer thickness with polishing pad wear compensation | Physics | 2 | Active |
| US10086492B2 | Applying dimensional reduction to spectral data from polishing substrates | Electricity | 2 | Active |
| US11507824B2 | Training spectrum generation for machine learning system for spectrographic monitoring | Physics | 2 | Active |
| US11577356B2 | Machine vision as input to a CMP process control algorithm | Physics | 2 | Active |
| US11658078B2 | Using a trained neural network for use in in-situ monitoring during polishing and polishing system | Physics | 1 | Active |
| US11931853B2 | Control of processing parameters for substrate polishing with angularly distributed zones using cost function | Electricity | 1 | Active |
| US11969854B2 | Control of processing parameters during substrate polishing using expected future parameter changes | Performing Operations; Transporting | 1 | Active |
| US10732607B2 | Spectrographic monitoring using a neural network | Physics | 1 | Active |
| US11919121B2 | Control of processing parameters during substrate polishing using constrained cost function | Performing Operations; Transporting | 1 | Active |
| US11710228B2 | Detecting an excursion of a CMP component using time-based sequence of images and machine learning | Electricity | 1 | Active |
| US12311494B2 | Pressure signals during motor torque monitoring to provide spatial resolution | Performing Operations; Transporting | 0 | Active |
| US12343840B2 | Control of processing parameters for substrate polishing with substrate precession | Electricity | 0 | Active |
| US12257665B2 | Machine vision as input to a CMP process control algorithm | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.