Princeton University

Opteryx, LLC

Jason Wolf Fleischer

Andrew Gaheem Hsieh

Benjamin Hertzberg

Peter James Gjeltema

Shoham Bhadra

Clarence Worth Rowley, Iii

Alexandre S R Goy

Daniel Artemis Steingart

Dmitry V Dylov

Nicolas Pegard

Chien-Hung Lu

Howard A Stone

Yueh-Lin Loo

Christopher Barsi

Wenjie Wan

Jongbok Kim

Daniel Artemus Steingart

Matthew Reichert

Pilnam Kim

Xiaohang Sun

Hugo Defienne

Jen-Tang Lu

Stefan Muenzel

A quantum information processing system comprises a light source, a detector, at least one spatial light modulator and at least one optical lens. The light source is configured to provide a beam of entangled photons. The at least one optical lens is configured to project the resultant beam onto the spatial light modulator, either by direct imaging or by performing a full or partial optical Fourier transform. Said spatial light modulator includes a plurality of discrete pixels and is configured to select one or more of the plurality of discrete pixels to generate a resultant beam from said beam of entangled photons. The resultant beam from said spatial light modulator is projected onto the detector. For optical computation, such as search algorithms, the configuration and projections are repeated to find the optimal solution.

Method and system for quantum information processing and computation

Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

Apparatus and method for determining state of change (SOC) and state of health (SOH) of electrical cells

A photovoltaic cell and method of making are disclosed. The photovoltaic cell includes a substrate having a surface at least partially covered in wrinkles and folds, the folds dividing the surface into a plurality of domains. A photoactive layer is formed on the substrate. At least one transparent electrode is coupled to the photoactive layer and configured to allow transmission of light into the photoactive layer. The domains may have a wrinkle periodicity of less than 2 &#x3bc;m. The folds may have a fold density of less than 0.25. The transport layer may comprise PEDOT:PSS. The photoactive layer may comprise P3HT:PCBM. The photoactive layer may comprise a bulk heterojunction.

Photoelectric cells incorporating wrinkles and folds to enhance efficiency and bendability and method of making

A method, an apparatus and a system for interrogating a battery in order to determine one or more of: (i) its state of charge (SOC), (ii) its state of health (SOH), (iii) physical state of one or more internal components or parts, which utilizes at least one sound source for transmitting a signal (e.g., a sound wave or sound pulse through or across the battery, and at least one sound receiver for receiving a signal from the battery, which received signal is representative of the physical state of the battery being interrogated. The interrogation method is noninvasive, namely does not require the depletion of a portion of the charge of the battery being tested or settlement or the destruction of the battery in order to evaluate one or more of (i), (ii) and (iii).

A microscope is disclosed, the microscope having a light source defining an optical axis along a Z direction and a detector disposed in X-Y direction, orthogonal to the optical axis, the detector configured to capture images of an object. The microscope includes a fluid channel having an inlet and an outlet configured with a fluid flow to transport the object from the inlet to the outlet. The detector is configured to capture a plurality of images of the object as the object moves from the inlet to the outlet. The plurality of images of the object may have different heights of the sample with respect to the detector as the sample flows through the channel. The channel may be tilted with respect to the optical axis. The detector may be tilted with respect to the optical axis.

Fluid channels for computational imaging in optofluidic microscopes

A computer implemented method and apparatus for processing images comprises obtaining two or more images acquired by ultrasound. One or more operating parameters of the ultrasound probe (transducer) are varied so that the resulting images of a material or object under investigation differ with respect to intensity. Examples of parameters which may be varied include probe angle, frequencies, and even the time and/or resolution of the respective images. The method further comprises creating a new image by selectively subtracting one or more images from one or more others. In an embodiment, there are two images and one is partially subtracted from the other. If negative values are obtained as a result of the subtraction, such values are set to zero.

Method and apparatus for enhancement of ultrasound images by selective differencing

A relatively high-resolution image from a conventional camera can be computationally combined with a relatively low-resolution wavefront measurement from, for example, a Shack-Hartmann sensor in order to construct a relatively high-resolution light-field image.

High-resolution light-field imaging

A system and method for filtering and enhancing signals from a noise background based on the nonlinear interaction of waves. The system and method amplify low-level signals, hide information in the signals, and then nonlinearly recover the signals. With the present invention, this can be performed for both spatial beams and temporal pulses. The signal self-filters and self-amplifies at the expense of the surrounding noise via the nonlinear medium.

System and method for nonlinear self-filtering via dynamical stochastic resonance

Disclosed are systems and methods for characterizing a nonlinear propagation environment by numerically propagating a measured output waveform resulting from a known input waveform. The numerical propagation reconstructs the input waveform, and in the process, the nonlinear environment is characterized. In certain embodiments, knowledge of the characterized nonlinear environment facilitates determination of an unknown input based on a measured output. Similarly, knowledge of the characterized nonlinear environment also facilitates formation of a desired output based on a configurable input. In both situations, the input thus characterized and the output thus obtained include features that would normally be lost in linear propagations. Such features can include evanescent waves and peripheral waves, such that an image thus obtained are inherently wide-angle, farfield form of microscopy.

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Princeton, NJ, United States of America

Jason Wolf Fleischer