Argonne National Laboratory

Sensors and Detectors

Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to sensors and detectors.

Filter Results

  • This invention comprises a predictive machine learning framework that leverages high performance computing and high-level quantum calculations to predict, determine, and validate phase diagrams in chemical systems without any recourse to experimental info
    Intellectual Property Available to License
    US Patent 16/807,081
    • Systems and Methods for Generating Phase Diagrams for Metastable Material States (ANL-IN-19-012)

    This invention introduces a new paradigm for materials science and solid-state chemistry by moving away from an explorative experimental synthesis, followed by phenomenological modeling approach, towards a predictive process by identifying phase space where metastable states occur from machine learning and first principles.

  • This invention comprises the introduction of an active learning method that starts training a neural network with ​“a single” data point.
    Intellectual Property Available to License
    US Patent 16/847,098
    • Active Learning From Sparse Training Data (ANL-IN-19-013)

    Please contact us for additional information

  • This invention addresses a critical issue of multiple objective optimization and is a general approach applicable to all types of model or property optimization.
    Intellectual Property Available to License
    US Patent 16/704,936
    • Systems and Methods for Hierarchical Multi-Objective Optimization (ANL-IN-19-010)

    This invention comprises a solution to the problem of simultaneous optimization of multiple objectives by creating a ​“hierarchy of objectives with passing criteria” which allows an optimization algorithm to understand the relative importance of the objectives and also provides a pathway for it to tackle the list of objectives in a systematic baby-stepping manner that is based on well defined target values rather than arbitrary weights.

  • A smart charging system for charging a plug-in electric vehicle (PEV) includes an electric vehicle supply equipment (EVSE) configured to supply electrical power to the PEV through a smart charging module coupled to the EVSE.
    Intellectual Property Available to License
    US Patent 9,758,046
    • PLUG-IN ELECTRIC VEHICLE (PEV) SMART CHARGING MODULE (ANL-IN-14-066)

    A smart charging system for charging a plug-in electric vehicle (PEV) includes an electric vehicle supply equipment (EVSE) configured to supply electrical power to the PEV through a smart charging module coupled to the EVSE. The smart charging module comprises an electronic circuitry which includes a processor. The electronic circuitry includes electronic components structured to receive electrical power from the EVSE, and supply the electrical power to the PEV. The electronic circuitry is configured to measure a charging parameter of the PEV. The electronic circuitry is further structured to emulate a pulse width modulated signal generated by the EVSE. The smart charging module can also include a first coupler structured to be removably couple to the EVSE and a second coupler structured to be removably coupled to the PEV.

  • Catalytic material for selective conversion of waste plastics to higher value products, such as wax and lubricants. This single-step process is solvent-free and requires low temperatures and pressures.
    Intellectual Property Available to License
    US Patent 16/749,885 and 17/000,969
    • Catalytic polymer processing and upcycling (IN-18-075), (IN-19-098), (IN-19-144)

    A method of upcycling polymers to useful hydrocarbon materials. A catalyst with nanoparticles on a substrate selectively docks and cleaves longer hydrocarbon chains over shorter hydrocarbon chains. The catalyst includes metal nanoparticles in an order array on a substrate, and the nanoparticles exhibit an edge to facet ratio to provide for more interactions with the facets. The catalyst can be used to produce lubricants with superior tribological performance.