Method for locally modifying the effective bandgap energy in indium gallium arsenide phosphide (InGaAsP) quantum well structures
AssigneeFiber Optic Systems Technology, Inc.
InventorsDavid A. Thompson, Brad J. Robinson, Gregory J. Letal, Alex S. W. Lee
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Abstract
A novel quantum well intermixing method for regionally modifying the bandgap properties of InGaAsP quantum well structures is disclosed. The method induces bandgap wavelength blue shifting and deep states for reducing carrier lifetime within InGaAsP quantum well structures. The novel quantum well intermixing technique is applied to the modulator section of an integrated DFB laser/electro-absorption modulator, wherein the modulator exhibits fast switching times with efficient optical coupling between the DFB laser and modulator region.
Claims17
A device for generating a high speed modulated optical signal comprising:
- A laser and an electro-absorption modulator integrated within the device, wherein said electro-absorption modulator comprises an Indium Gallium Arsenide Phosphide (InGaAsP) quantum well active region with modified effective bandgap properties, where said modified effective bandgap properties in the electro-absorption modulator quantum well active region comprises:
- (a) Deep states that reduce carrier lifetimes and quench photoluminescence within said bandgap, where said deep states, provides non-radiative defect centers within said quantum well active region bandgap of said electro-absorption modulator;
- and
- (b) An effective bandgap energy increase (Blue Shift) of said quantum well active region.
An optoelectronic device comprising:
- a substrate;
- and
- a indium gallium arsenide phosphide (InGaAsP) quantum well active region on the substrate, the quantum well active region having a bandgap and modified effective bandgap properties which comprise:
- (a) deep states which reduce carrier lifetimes and quench photoluminescence within the bandgap;
- and
- (b) an effective bandgap energy increase (blue shift) of the quantum well active region.
Dependencies are inferred from the claim text.