Infrared (IR) vision is a key technology in a variety of military and civilian applications ranging from night vision to environmental monitoring, biomedical diagnostics, and thermal probing of active microelectronic devices. In particular, the wavelength regions from 3 to 5 μm and 8 to 14 μm are of importance since atmospheric absorption in these regions is especially low. IR radiation detectors can be classified broadly as either photonic or thermal detectors, such as pyroelectric, thermoelectric and thermoresistive transducers, and microcantilever thermal detectors.
Photonic devices are based on semiconductor materials with narrow bandgaps, εg<h/λ, or metal-semiconductor structures (Schottky barriers) with appropriately small energy barriers, Δεg<h/λ, i.e., εg or Δεg≈0.1 eV to absorb 8-14 μm IR radiation. However, the small bandgap makes such detectors susceptible to thermal noise, which varies as exp(−E/kBT) where T is the detector temperature and kB is the Boltzmann constant. This necessitates cooling of the photonic IR detectors to cryogenic temperature. The noise equivalent temperature difference (NETD) of cooled quantum IR detectors can be very low, typically in the few mK range. The additional cooling system, however, increases weight and cost and poses reliability problems. High costs of cryogenically cooled imagers restrict their installation to critical military applications allowing for operations to be conducted in complete darkness. On the other hand, thermal IR detectors are based on measuring the amount of heat produced in the detector upon the absorption of IR radiation and can operate at, or even above, room temperature because thermal noise in thermal detectors varies as T1/2, hence cooling to cryogenic temperature will not significantly improve their performance. The performance of uncooled thermal detectors has been greatly enhanced in the recent past. Large focal plane arrays (FPAs) of resistive bolometers and ferroelectric devices with 320×240 pixels were reported to have a NETD of 40 mK in 1999. IR detector FPAs developed by Boeing exhibited an NETD of 23 mK at a 60 Hz frame rate. Radford et al. has recently reported a 320×240 IR detector FPA with 25 μm pitch pixels. The reported average NETD value for these FPAs is about 35 mK with an f/1 aperture, operating at 30 Hz frame rates.
Recent advances in microelectromechanical systems (MEMS) have led to the development of uncooled microcantilever IR detectors (briefly called cantilever microbolometers), which function based on the bending of bimaterial cantilevers upon absorption of IR energy. The micromechanical deformations can readily be determined by any number of means, including piezoresistive, optical, and capacitive. The first method is limited by its low sensitivity because the electric current running through the piezoresistors generates heat, making the device less sensitive. Using an optical readout, the devices developed by Zhao et al. and those by Datskos et al. exhibited NETD values of 200 mK and 90 mK, respectively. The capacitance measurement detects changes in capacitance between the cantilever and the substrate. As shown in Table I, devices of this type have the potential of reaching an NETD approaching the theoretical limit, i.e. ˜mK, as well as the potential of broad commercial applications due to their simplicity compared to other types of cantilever microbolometers. However, their manufacturability, planarity and reliability have been inadequate in systems. The released bimaterial cantilevers always bend up or down due to the imbalanced residual stresses in the bimaterial microbolometer structures. In addition, the theoretical prediction indicates that the sensitivity of a cantilever microbolometer is inversely proportional to the gap distance between the cantilever and its substrate. A small gap results in high performance; however experimental results show that a small gap also leads to severe problems caused by stiction as well as residue in the released structure.
The present invention relates to double cantilever microbolometers with NETD in the mK range, and a reliable, straightforward manufacturing technology for the fabrication of flat cantilever microbolometers. The microbolometer sensor has a first cantilever supported above a substrate and formed of a bimaterial so as to deform in a first direction in response to incident radiation, and a second cantilever supported above the substrate and formed of a bimaterial so oriented as to cause the second cantilever to deflect oppositely to the first cantilever in response to radiation. The first and second cantilevers have a spacing therebetween that varies as a function of radiation incident on said first and second cantilevers. Means for sensing the deflection of the first and second cantilevers to provide an indication of the incident radiation is provided.
The present double cantilever microbolometer has extremely high sensitivity. The temperature induced capacitance change in a double cantilever structure is about two times larger than that in a single cantilever structure. NETD is ˜13 mK and ˜9 mK for single and double cantilever microbolometers, respectively. Moreover, there is no additional dielectric layer between the metal plates of the top sensing capacitor, and the present double cantilever microbolometer structures can be manufactured flat rather than curved. All these further enhance the detectivity of the detectors.
The present double cantilever microbolometer has a low noise level. Since Johnson noise is negligible, the total noise of the cantilever-based microbolometers is about an order of magnitude lower than the resistive IR detectors.
The present double cantilever microbolometer has high image quality with pixel-by-pixel image-correction capability. The pixel offset and gain can be adjusted pixel by pixel.
The fabrication process of the present invention provides design and manufacturing flexibility. The thickness of the first sacrificial layer (between the substrate and the bottom cantilever) is designed to form a λ/4 resonant cavity; whereas the thickness of the second sacrificial layer (between the double cantilever beams) is designed to be less than 0.5 μm for the purpose of improving sensitivity.
The fabrication process of the present invention provides robust microelectromechanical system (MEMS) & IC foundry process compatibility. The proposed fabrication processes are compatible with existing IC and MEMS manufacturing processes and thus will greatly enhance the product reliability and manufacturability.
In a process of fabricating a micromechanical cantilever structure, the cantilever structure is formed and irradiated with an ion beam to flatten the cantilever. Also, the cantilever is annealed in a rapid thermal annealing process to flatten the cantilever.
The invention will be more fully understood from the following detailed description taken in conjunction with the accompanying drawings in which:
More particularly, the top and bottom plates of the sensing capacitor 18 are composed of two overlapped free-standing bimaterial cantilevers. See
General requirements for the cantilever microbolometer design are twofold: (i) the pixel's temperature rise must be maximized, and (ii) the thermomechanical response must be optimized for a given incident flux of IR radiation under the constraints of the predetermined pixel size. In addition, the thermal time constant of the pixel must be compatible with the frame rate of an imaging system so that real-time detection is achievable.
(a) IR Radiation Absorption
The surface material of both cantilevers in a pixel should have a large IR absorption coefficient, as well as be compatible with IC and MEMS fabrication. According to
(b) Thermal Response
The present device functions when the temperature of the cantilever increases upon the absorption of thermal energy. This temperature rise can be determined by:
ΔT=q/GTotal (1)
where q is the absorbed power and GTotal is the total thermal conductance between the cantilever and the surroundings. To maximize ΔT, GTotal should be minimized. It is found that the majority of GTotal comes from the conductance of the support leg if the sensor is located in a vacuum chamber. This requires using long, narrow legs made of a low thermal conductivity material. However, the support leg must be electrically conductive for capacitive sensing. In the present device, the support leg consists of a bimaterial thermal isolator and a bimaterial thermal actuator. The proposed isolator is made of SiNx and NiCr. The thickness of NiCr is smaller than that of SiNx so that the thermal conductance of the support leg cannot increase much even though the thermal conductivity of NiCr is larger than that of SiNx (See Tables II & III).
For a microbolometer, response time τ is determined by the pixel's heat capacitance Cth and total thermal conductance GTotal, i.e.,
τ=Cth/GTotal (2)
where Cth=Σ(ρVc)i. ρ, V and c are the mass density, volume and heat capacity of each layer in the thermal isolation leg.
(c) Thermomechanical Response
For the double cantilever microbolometer structure, each cantilever consists of three components: (i) thermal isolation leg, (ii) biomaterial actuator, and (iii) IR radiation absorber (sensing plate). All of these components are multilayered and undergo bending due to mismatches in thermal expansions when the temperature increases. The two cantilevers may have different temperatures because the IR absorption materials as well as the absorption areas do not necessarily need to be identical. For each cantilever, the actuation component and the sensing component should have the same temperature due to the large thermal conductance of Al, while the temperature along the length of the isolation leg is assumed to be linearly gradient, i.e., the same as room temperature at the anchor end and actuation component at the other end. In other words, both the actuation component and the sensing component have a uniform curvature, while the thermal isolation leg has a changing curvature along the length. When there is a temperature change ΔT, the curvature of each component in both cantilevers can be derived from the following general model,
κ=(BN−AM)/(B2−AD) (3)
where A, B, D, N and M are given by:
(A,B,D)=∫0hbE(z)(1,z,z2)dz and
(N,M)=−∫0hbE(z)α(z)ΔT(1,z)dz (4)
where h and b are the thickness and the width, respectively, and E(z) and α(z) are the elastic modulus and the CTE through the thickness, respectively. Specifically, the curvature of the actuation element for the top cantilever κ2 can be determined from Eqs. (3) and (4),
κ=3(αAl−αSiNx)(n+1)ΔT/(KhAl) (5)
where K=(4+6n+4n2+mn3+1)/(mn), n=hsiNx/hAl, and m=ESiNx/EAl. For a better thermomechanical response, the two materials of the thermal actuation leg should have a large mismatch in CTE. This is the reason why the pair of SiNx/Al is proposed (see the thermophysical properties provided in Table III). Also, based on the parameters given in the table, the optimum thickness ratio of SiNx/Al is found to be n=1.06 by solving dK/dn=0. The deflection along the top cantilever can be given by:
Note that replacing κ1 by κ3 and κ2 by κ4 in Eq. (6) will result in similar formulas for the deflection of the bottom cantilever δB(x).
(d) Signal Readout
In a capacitive readout mode, the IR radiation induced cantilever deflection is converted to the changes of the sensing capacitances that are amplified and outputted in a voltage signal. The capacitances for two sensing capacitors are determined by:
where δT,0 is the initial gap of the top sensing capacitor, δB,0 that of the bottom one, δSiO the thickness of the dielectric layer of SiO2, and εSiO is the dielectric constant of SiO2. When δT(x)=0 and δB(x)=0, Eq. (7) gives the nominal capacitances of the sensor, i.e.,
CT,0=ε0AT/δT,0 and CB,0=ε0AB/(δB,0+δSiO/ξSiO) (8)
The minimum value for the top gap, and therefore the maximum nominal capacitance and change in capacitance, can be determined by the release process. The second gap is set for the requirement of a λ/4 resonant cavity. The additional isolation layer will slightly reduce the sensitivity of the sensor; however, it will improve the stability of the device.
In the embodiment shown in
VO=(VTCT+VBCB)/(CT+CB) (9)
If CB,0VB=−CT,0VT, the nominal signal applied to the amplifier transistor is zero. Thus, the relative amplitude of VB and VT can be used to adjust the offset at each pixel. Furthermore, VT can be used to adjust the gain at each pixel. Gain and offset correction at each pixel is critical to optimize image quality and increase yield. The voltage sensitivity to temperature is given by:
RV=dVo/dT (10)
(e) Noise Equivalent Temperature Difference (NETD)
NETD is an important figure of merit that qualifies the performance of an IR imaging system. The NETD is the smallest detectable temperature difference of the target source allowed by the system noise. In other words, the NETD is simply the system noise divided by the thermal sensitivity of the detector. The key to calculating the NETD is the determination of the change in detector temperature with respect to a change in scene temperature. The optical thermal transfer coefficient is defined as:
β=dTd/dTs (11)
where Td and Ts are the detector and scene temperatures, respectively. In this case the signal sensitivity coefficient is composed of several factors such as the imaging optics, the spectral bandwidth, and the thermal shunting due to the parasitic thermal resistance to the ambient. Thus, we have:
β=Aabτεπ(dL/dT3)/(GTotal4Fno2) (12)
where 4Fno2 is the F-number of the lens for incident radiation, ε the emissivity of the absorption material, τ the transmissivity of the IR optical system, Aab the absorption area, and dL/dTs is determined by Planck's law and found to be about 0.63 Wm−2K−1sr−1 in 8-14 μm wavelength range for a blackbody at temperature 300 K.
Based on the statistical nature of the heat exchange with the environment any thermodynamic system exhibits random fluctuations in temperature, which is known as thermodynamic fluctuation noise. For a cantilever pixel, the mean square temperature fluctuation at a low frequency range is ΔTth=Td(4kBB/GTotal)1/2, where B is the detection bandwidth. The thermodynamic fluctuation noise is an intrinsic noise for the uncooled IR systems since the heat exchange between the sensor and its environment is unavoidable. This noise imposes a fundamental limit on the system's NETD,
NETDth=Td√{square root over (4kBB/Gtotal)}/β (13)
In the cantilever microbolometers, Johnson noise, one of the major noise sources in the resistive microbolometers, is negligible. In our design, another major noise source is induced by the amplification electronics, i.e.,
NETDamp=√{square root over (va2)}/(βRV) (14)
where √{square root over (Va2)} is the rms value of the equivalent input noise voltage to the source follower amplifier and was found to be around 12 μV. The overall NETD can be given by:
NETD=√{square root over (NETDamp2+NETDth2)} (15)
There are two ways to improve imager NETD: (i) increase β by increasing the thermal isolation and IR absorption, or (ii) increase the sensitivity, Rv. Methods to reduce β are common to all imager approaches, but the advantage of the present approach over other approaches using thermoresistors or ferroelectrics is the extremely high sensitivity of the detection mechanism. Because the thermal isolation leg also serves as an electric connection and all electrically conductive materials have large thermal conductance, the hope for reducing thermal conductance is to make the electric connection material as thin as possible.
The mechanical deflection of the cantilever-based microbolometer structures as a function of the temperature change was preliminarily simulated using finite element modeling using the dimensions summarized in Table IV. Referring to
The cantilever-based microbolometer FPAs of the present invention can be built up using surface micromachining techniques, i.e., layer by layer, on the surface of single-crystal silicon substrates. Since double cantilever microbolometer FPAs need to be integrated on CMOS readout electronics, low temperature surface micromachining techniques have been developed. A sacrificial layer, also called a spacer layer or base, is deposited on a silicon substrate. A structural layer is then deposited and defined for making microbolometer arrays. Finally, the underlying sacrificial layer is etched away using chemical or plasma etching.
The materials for the sacrificial layers and the structural layers are selected to make microbolometer FPAs using surface micromachining techniques. According to the present invention, a pair of materials, one as the sacrificial layer, the other as the structural layer, are chosen to achieve a high-selectivity etching ratio during removal of the underlying sacrificial layer. A polyimide is a suitable material for the sacrificial layers. The materials for the structural layers are discussed above.
Referring to
Referring to
A dielectric layer 107 of SiO2 and the second layer 109 of Pt/Ti for pads and anchors are formed using a second mask. See
The bottom sacrificial layer 111 of polyimide is formed using a third mask. See
Referring to
The aluminum layer 115 for the bottom cantilever is formed using a fifth mask. See
The NiCr layer 117 for the bottom cantilever is formed with a sixth mask. Deposition of the NiCr layer may be by sputtering. The thickness of the NiCr layer is 50 nm. A standard positive photolithography process with photoresist OCG 825 may be used. Patterning of the NiCr layer may occur with TFN (a mixture of 10-20% (NH4)2Ce(NO3)+5-6% HNO3+H2). Removal of the photoresist may be with acetone.
Referring to
The NiCr layer 121 for the top cantilever is formed using an eighth mask. See
The aluminum layer 123 for the top cantilever is formed using a ninth mask. See
The SiNx layer 125 for the top cantilever is formed using a tenth mask. See
Referring to
It will be appreciated that the above fabrication process is exemplary and variations thereof will be apparent to those of skill in the art.
Only when the residual stresses in a multilayered structure can balance each other, can a flattened structure be realized. Therefore, one way to eliminate the stress-induced curvature is to introduce a layer with an appropriate residual stress state to compensate for the initial deformation of the structure. However, for microbolometer applications, any additional layer may also influence the thermomechanical response of the device. A method of the present invention to modify the residual stress, and in turn the curvature of a multilayered structure is ion beam machining. The ion beam machining technique alters the contour shape of free-standing thin-film structures by tuning their stress states. See
An ion beam machining technique of the present invention using Argon ions has successfully eliminated stress-induced curvature in polysilicon micromirrors (
Engineering approaches for flattening cantilever-based microbolometer structures also include thermal annealing, specifically rapid thermal annealing (RTA) treatments. As can be seen from the example given in
The invention is not to be limited by what has been particularly shown and described, except as indicated by the appended claims.
This application claims the benefit under 35 U.S.C. § 119(e) of U.S. Provisional Application No. 60/524,074, filed on Nov. 21, 2003, the disclosure of which is incorporated by reference herein.
This invention was made with Government Support, under Contract Number DAAD 19-00-2-0004 awarded by the U.S. Army Research Office. The Government has certain rights in the invention.
Filing Document | Filing Date | Country | Kind | 371c Date |
---|---|---|---|---|
PCT/US04/39339 | 11/22/2004 | WO | 5/19/2006 |
Number | Date | Country | |
---|---|---|---|
60524074 | Nov 2003 | US |