Chandra Mouli

Bio: Chandra Mouli is an academic researcher from Micron Technology. The author has contributed to research in topics: Transistor & Field-effect transistor. The author has an hindex of 32, co-authored 216 publications receiving 3289 citations. Previous affiliations of Chandra Mouli include Aptina.

Imager method and apparatus employing photonic crystals

Abstract: An image sensor and a method of forming an image sensor. The image sensor includes an array of pixel cells at a surface of a substrate. Each pixel cell has a photo-conversion device. At least one a micro-electro-mechanical system (MEMS) element including a photonic crystal structure is provided over at least one of the pixel cells. The MEMS-based photonic crystal element is supported by a support structure and configured to selectively permit electromagnetic wavelengths to reach the photo-conversion device upon application of a voltage. As such, the MEMS-based photonic crystal element of the invention can replace or compliment conventional filters, e.g., color filter arrays.

Switching Dynamics and Hot Atom Damage in Landau Switches

Abstract: Among the various sub-60 mV/decade transistors proposed to reduce the supply voltage (and thereby, power dissipation) of an integrated circuit, a Landau switch achieves this goal by amplifying the gate voltage by replacing the gate dielectric (DE) with a ferroelectric (FE) that exhibits negative capacitance. The subthreshold swing (S) and power dissipation are indeed reduced, but one wonders if switching speed would suffer at the low operating voltage, and if the reliability would degrade due to polarization switching. Based on the coupled kinetics of FE–DE switching, and using the existing experimental data for the FE properties in doped HfO2, we predict that an FE Landau transistor would switch as fast as and would be more robust to hot atom damage-induced ac reliability degradation observed in the FE memory. These results encourage sustained development of this technology option.

Synthesizing semiconductor process flow models

Abstract: Systems and methods of modeling a best-guess semiconductor process flow for fabricating a desired semiconductor device are provided. The best-guess process flow is modeled using an inverse modeling technique. This technique reverse engineers a desired semiconductor device to synthesize a model of a fabrication process that is likely to produce the desired semiconductor device. First, a desired device having one or more desired characteristics is modeled. Then, various process and material parameters, constraints, and actual measured data are used to synthesize one or more unique software models that represent a process flow likely to fabricate the desired device. If more than one process flow is modeled, various parameters are modified iteratively until a unique process flow model is synthesized.

Memory devices, transistors, memory cells, and methods of making same

Abstract: A memory device includes an array of memory cells and peripheral devices. At least some of the individual memory cells include carbonated portions that contain SiC. At least some of the peripheral devices do not include any carbonated portions. A transistor includes a first source/drain, a second source/drain, a channel including a carbonated portion of a semiconductive substrate that contains SiC between the first and second sources/drains and a gate operationally associated with opposing sides of the channel.

Capacitor-less volatile memory cell, device, system and method of making same

Abstract: A capacitor-less memory cell, memory device, system and process of forming the capacitor-less memory cell includes forming the memory cell in an active area of a substantially physically isolated portion of the bulk semiconductor substrate. A pass transistor is formed on the active area for coupling with a word line. The capacitor-less memory cell further includes a read/write enable transistor vertically configured along at least one vertical side of the active area and operable during a reading of a logic state with the logic state being stored as charge in a floating body area of the active area, causing different determinable threshold voltages for the pass transistor.

Semiconductor device, and manufacturing method thereof

Abstract: An object is to provide a semiconductor device of which a manufacturing process is not complicated and by which cost can be suppressed, by forming a thin film transistor using an oxide semiconductor film typified by zinc oxide, and a manufacturing method thereof. For the semiconductor device, a gate electrode is formed over a substrate; a gate insulating film is formed covering the gate electrode; an oxide semiconductor film is formed over the gate insulating film; and a first conductive film and a second conductive film are formed over the oxide semiconductor film. The oxide semiconductor film has at least a crystallized region in a channel region.

Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data

Abstract: We present a simple and usable noise model for the raw-data of digital imaging sensors This signal-dependent noise model, which gives the pointwise standard-deviation of the noise as a function of the expectation of the pixel raw-data output, is composed of a Poissonian part, modeling the photon sensing, and Gaussian part, for the remaining stationary disturbances in the output data We further explicitly take into account the clipping of the data (over- and under-exposure), faithfully reproducing the nonlinear response of the sensor We propose an algorithm for the fully automatic estimation of the model parameters given a single noisy image Experiments with synthetic images and with real raw-data from various sensors prove the practical applicability of the method and the accuracy of the proposed model

Systems and methods for processing analyte sensor data

Abstract: Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously.

Cyclops: In Situ Image Sensing and Interpretation in Wireless Sensor Networks

Abstract: Despite their increasing sophistication, wireless sensor networks still do not exploit the most powerful of the human senses: vision. Indeed, vision provides humans with unmatched capabilities to distinguish objects and identify their importance. Our work seeks to provide sensor networks with similar capabilities by exploiting emerging, cheap, low-power and small form factor CMOS imaging technology. In fact, we can go beyond the stereo capabilities of human vision, and exploit the large scale of sensor networks to provide multiple, widely different perspectives of the physical phenomena. To this end, we have developed a small camera device called Cyclops that bridges the gap between the computationally constrained wireless sensor nodes such as Motes, and CMOS imagers which, while low power and inexpensive, are nevertheless designed to mate with resource-rich hosts. Cyclops enables development of new class of vision applications that span across wireless sensor network. We describe our hardware and software architecture, its temporal and power characteristics and present some representative applications.

Cyclops: in situ image sensing and interpretation in wireless sensor networks

Abstract: Despite their increasing sophistication, wireless sensor networks still do not exploit the most powerful of the human senses: vision. Indeed, vision provides humans with unmatched capabilities to distinguish objects and identify their importance. Our work seeks to provide sensor networks with similar capabilities by exploiting emerging, cheap, low-power and small form factor CMOS imaging technology. In fact, we can go beyond the stereo capabilities of human vision, and exploit the large scale of sensor networks to provide multiple, widely different perspectives of the physical phenomena.To this end, we have developed a small camera device called Cyclops that bridges the gap between the computationally constrained wireless sensor nodes such as Motes, and CMOS imagers which, while low power and inexpensive, are nevertheless designed to mate with resource-rich hosts. Cyclops enables development of new class of vision applications that span across wireless sensor network. We describe our hardware and software architecture, its temporal and power characteristics and present some representative applications.