Abstract: A system for generating electricity from an underwater stream for generating electricity for the electric grid or for producing hydrogen includes an underwater turbine. The underwater turbine includes an upper pontoon, a lower pontoon, and a pylon structure that extends between and interconnects the upper pontoon and the lower pontoon. The underwater turbine also includes a single propeller assembly rotatably coupled to the lower pontoon. Rotation of the propeller operates a generator to generate electricity. The underwater turbine can be moored to a sea floor via a mooring weight. An optional friction winch is operable to raise or lower the underwater turbine relative to the sea floor.

Abstract: A system for generating electricity from an underwater stream for generating electricity for the electric grid or for producing hydrogen includes an underwater turbine. The underwater turbine includes an upper pontoon, a lower pontoon, and a pylon structure that extends between and interconnects the upper pontoon and the lower pontoon. The underwater turbine also includes a single propeller assembly rotatably coupled to the lower pontoon. Rotation of the propeller operates a generator to generate electricity. The underwater turbine can be moored to a sea floor via a mooring weight. An optional friction winch is operable to raise or lower the underwater turbine relative to the sea floor.

Abstract: Methods and systems for estimating fluid flow characteristics are provided. In one embodiment, a method is provided that includes receiving a plurality of images of fluid flow at a plurality of times. The images may be analyzed with a machine learning model to predict one or more physical characteristics of the fluid flow, such as a velocity field, a pressure field, and/or a stress field. A loss measure may be calculated for the physical characteristics based on physical fluid flow constraints, boundary condition constraints, and/or data mismatch constraints. The machine learning model may be updated based on the loss value.

Abstract: Methods and apparatus for extracting one or more mechanical properties for a material based on one or more indentation parameters for the material. The method comprises receiving load-displacement data from one or more instrumented indentation tests on the material, determining, by at least one computer processor, the indentation parameters for the material based, at least in part, on the received load-displacement data, providing as input to a trained neural network, the indentation parameters for the material, determining, based on an output of the trained neural network, the one or more mechanical properties of the material, and displaying an indication of the determined one or more mechanical properties of the material to a user of the computer system.

Abstract: Methods and apparatus for extracting one or more mechanical properties for a material based on one or more indentation parameters for the material. The method comprises receiving load-displacement data from one or more instrumented indentation tests on the material, determining, by at least one computer processor, the indentation parameters for the material based, at least in part, on the received load-displacement data, providing as input to a trained neural network, the indentation parameters for the material, determining, based on an output of the trained neural network, the one or more mechanical properties of the material, and displaying an indication of the determined one or more mechanical properties of the material to a user of the computer system.

Abstract: Described is a device for generating an acoustic signal in an electrically conductive medium such as salt water. The device of the present invention has a broadband frequency response and supports high bandwidth data transmission. Reliability is improved in comparison to conventional underwater acoustic transmitters as the device includes no moving components. In one embodiment, the device includes a parallel and alternating arrangement of electrodes and magnets. Neighboring electrodes have different voltages and neighboring magnets have opposite pole configurations such that the magnetic fields overlap the currents between the electrodes in the medium. The currents or the magnetic fields are modulated according to a data signal to generate an acoustic signal in the medium.