Abstract:
Disclosed are methods of fabricating an integrated computational element for use in an optical computing device. One method includes providing a substrate that has a first surface and a second surface substantially opposite the first surface, depositing multiple optical thin films on the first and second surfaces of the substrate via a thin film deposition process, and thereby generating a multilayer film stack device, cleaving the substrate to produce at least two optical thin film stacks, and securing one or more of the at least two optical thin film stacks to a secondary optical element for use as an integrated computational element (ICE).
Abstract:
A system and method for forming a thin film device. A method may comprise depositing a layer of material on a substrate with a thin film system at a deposition rate, monitoring a density of the layer of material to control the deposition rate, selecting a threshold for the deposition rate for a consistent film density, wherein the threshold is a material density, decreasing the deposition rate when the deposition rate is higher than the threshold, and increasing the deposition rate when the deposition rate is lower than the threshold. A thin film system for fabricating a thin film device may comprise a chamber, a material source contained with the chamber, an electrical component to activate the material source, a substrate holder to support a multilayer stack of materials that form the thin film device, a measurement device, and an information handling system.
Abstract:
A device including a sample cell configured to interact a fluid sample with an ion selective substrate to modify an optical characteristic of the ion selective substrate according to an ion concentration of the fluid sample is provided. The sample cell is configured to optically interact an illumination light with the ion selective substrate to generate a sample light. The device includes an integrated computational element configured to interact with the sample light to provide a modified light that has a property indicative of the ion concentration in the fluid sample; and a detector that receives the modified light and provides an electrical signal proportional to an intensity of the modified light.
Abstract:
Optical computing devices may include capacitance-based nanomaterial detectors. For example, an optical computing device may include a light source that emits electromagnetic radiation into an optical train extending from the light source to a capacitance-based nanomaterial detector; a material positioned in the optical train to optically interact with the electromagnetic radiation and produce optically interacted light; and the capacitance-based nanomaterial detector comprising one or more nano-sized materials configured to have a resonantly-tuned absorption spectrum and being configured to receive the optically interacted light, apply a vector related to the characteristic of interest to the optically interacted light using the resonantly-tuned absorption spectrum, and generate an output signal indicative of the characteristic of interest.
Abstract:
Systems and methods of engineering the optical properties of an optical Integrated Computational Element device using ion implantation during fabrication are provided. A system as disclosed herein includes a chamber, a material source contained within the chamber, an ion source configured to provide a high-energy ion beam, a substrate holder to support a multilayer stack of materials that form the Integrated Computational Element device, a measurement system, and a computational unit. The material source provides a material layer to the multilayer stack, and at least a portion of the ion beam is deposited in the material layer according to an optical value provided by the measurement system.
Abstract:
An optical computing device including a detector having a non-planar semiconductor structure is provided. The detector may include one or more structures having structure characteristics that may be optimized to respond to and weight predetermined wavelengths of light radiated from a sample that are related to characteristics of the sample. The detector may include an array of the one or more structures, wherein each of the structure units may be individually addressable to program or tune the detector to respond to and weight a spectra of light and generate an output signal based on the weighted spectra of light that is proportional to the characteristics of the sample.
Abstract:
Optical computing devices may include capacitance-based nanomaterial detectors. For example, an optical computing device may include a light source that emits electromagnetic radiation into an optical train extending from the light source to a capacitance-based nanomaterial detector; a material positioned in the optical train to optically interact with the electromagnetic radiation and produce optically interacted light; and the capacitance-based nanomaterial detector comprising one or more nano-sized materials configured to have a resonantly-tuned absorption spectrum and being configured to receive the optically interacted light, apply a vector related to the characteristic of interest to the optically interacted light using the resonantly-tuned absorption spectrum, and generate an output signal indicative of the characteristic of interest.
Abstract:
An intensity-independent optical computing device and method for performing multivariate optical computing based on changes in polarization of the reflected and/or transmitted electromagnetic radiation to thereby determine sample characteristics.
Abstract:
Optical computing devices including an electromagnetic radiation source to emit electromagnetic radiation into an optical train; an integrated computational element (ICE) located in the optical train before or after a sample located in the optical train to generate modified electromagnetic radiation in the optical train; a broadband angle-selective filter (BASF) located in the optical train to transmit the electromagnetic radiation and/or the modified electromagnetic radiation in the optical train at a target incident angle, thereby generating angle selected-modified electromagnetic radiation (ASMR), and to reflect one or more stray radiation reflections at angles that are not coincident with the target incident angle; and a detector to receive the ASMR and to generate an output signal corresponding to a characteristic of the sample.
Abstract:
Techniques include receiving a design of an integrated computational element (ICE) including (1) specification of a substrate and multiple layers, their respective target thicknesses and refractive indices, adjacent layer refractive indices being different from each other, and a notional ICE fabricated based on the ICE design being related to a characteristic of a sample, and (2) indication of target ICE performance; forming one or more of the layers of an ICE based on the ICE design; in response to determining that an ICE performance would not meet the target performance if the ICE having the formed layers were completed based on the received ICE design, updating the ICE design to a new total number of layers and new target layer thicknesses, such that performance of the ICE completed based on the updated ICE design meets the target performance; and forming some of subsequent layers based on the updated ICE design.