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Chao-Ming Fu

Publications and source records attributed to Chao-Ming Fu.

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Confocal Subsurface Backscattering Microscopy for Optical Identification of Nanoscale Threading Dislocations in SiC Substrates

High density threading dislocations in SiC wafers facilitate reverse leakage and degradation, yet commercial defect inspection systems based on surface profiling and PL dark-contrast miss nanoscale TDs because they lack resolvable surface signatures and band-edge PL is uniformly quenched by background dopants or compensating defects. Here, we develop confocal subsurface backscattering microscopy to nondestructively detect TDs, based on the synergy of confocal filtering induced dark field configuration and strain induced photoelastic mechanism. By simultaneously suppressing specular reflection while enhancing optical scattering from TD induced refractive index perturbation, CSBM enables high contrast, high resolution TD imaging. Moreover, TD types can be distinguished by their distinct photoelastic scattering patterns. Our work establishes a simple but effective optical approach for direct TD identification that is more tolerant of surface imperfections, providing a practical route toward industrial in line inspection.

physics.optics

Quantum-Inspired Portfolio Optimization In The QUBO Framework

A quantum-inspired optimization approach is proposed to study the portfolio optimization aimed at selecting an optimal mix of assets based on the risk-return trade-off to achieve the desired goal in investment. By integrating conventional approaches with quantum-inspired methods for penalty coefficient estimation, this approach enables faster and accurate solutions to portfolio optimization which is validated through experiments using a real-world dataset of quarterly financial data spanning over ten-year period. In addition, the proposed preprocessing method of two-stage search further enhances the effectiveness of our approach, showing the ability to improve computational efficiency while maintaining solution accuracy through appropriate setting of parameters. This research contributes to the growing body of literature on quantum-inspired techniques in finance, demonstrating its potential as a useful tool for asset allocation and portfolio management.

q-fin.PM