A microfluidic device (100) for mixing a liquid L is provided. The microfluidic device (100) comprises a microfluidic chamber (20), having an inlet (30), and arranged to receive the liquid L therein. In use, the microfluidic device (100) is arranged to control translation through the liquid L of a body B introduced therein, wherein the translation of the body B is due to a potential field acting on the body. In this way, the controlled translation of the body B mixes the liquid L in the microfluidic chamber (20).

A flow rate regulator device is provided, including an upstream chamber, a downstream chamber, a plurality of electrically conductive capillary ducts providing parallel fluid flow connections between the upstream chamber and the downstream chamber, first and second electrical terminals configured to be connected to an electric current source, and at least one electric switch configured to connect one or more of the capillary ducts selectively between the electrical terminals. A system for feeding propellant gas to a space electric thruster is also provided, including at least one such flow rate regulator device to regulate a propellant gas flow rate. And, a flow rate regulation method is provided, using the flow rate regulator device.

A fluidic device controls fluid flow in channel from a source to a drain. The fluidic device may be combined with other fluidic devices to form different types of logic devices g an inverter, OR gate, etc.). And the logic devices may be incorporated into an artificial reality system (e.g., as part of a haptic assembly). In some embodiments, a fluidic device includes a gate, a channel, and a wedge. The wedge controls a rate of fluid flow within the channel based on a fluid pressure in the gate. The wedge induces a first flow rate of fluid in the channel in accordance with a low pressure state of the gate, and a second flow rate of the fluid in the channel in accordance with a high pressure state of the gate, the second flow rate greater than the first flow rate.

Mass flow verification systems and apparatus verify mass flow rates of mass flow controllers (MFCs) based on pressure decay principles. Embodiments include a location for coupling a calibrated gas flow standard or a MFC to be tested in a line to receive a gas flow from a gas supply; a control volume serially coupled to the location in the line to receive the gas flow; a flow restrictor serially coupled to the control volume; a pump serially coupled to the flow restrictor; and a controller adapted to allow the gas supply to flow gas through the mass flow control verification system to achieve a stable pressure in the control volume, terminate the gas flow from the gas supply, and measure a rate of pressure decay in the control volume over time. Numerous additional aspects are disclosed.

A handheld system includes a reference pressure source configured to generate a reference pressure. The handheld system also includes a primary pressure source coupled to the reference pressure source. The primary pressure source is configured to generate a primary pressure in a primary pressure range. The primary pressure is less than the reference pressure, and the primary pressure is induced by the reference pressure source. The handheld system also includes a secondary pressure source coupled to the primary pressure source. The secondary pressure source is configured to generate a secondary pressure in a secondary pressure range. The secondary pressure is less than the primary pressure, and the secondary pressure is induced by the primary pressure source.

A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.

The present invention provides microfluidic technology enabling rapid and economical manipulation of reactions on the femtoliter to microliter scale.

Electron exchangers are placed in the conversion cell and divide it into cathode gas chamber, liquid conversion solution chamber together with a liquid flow controller, and anode gas chamber. Voltage is applied to the electron exchangers to convert the liquid conversion solution to gases, and gases are released directly to the gas chambers. There are many puncture channels on the surfaces of the liquid flow controller, and they are designed by critical surface calculations. The puncture channels have special designed patterns and are manufactured with a precision technology. A microprocessor connected to the cloud is responsible for artificial intelligence calculations, and it controls liquid and gas flow valves in the conversion cell. In producing the same amount of final gases, our method is energy efficient.

A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.

Embodiments are related to systems and methods for fluidic assembly, and more particularly to systems and methods for increasing the efficiency of fluidic assembly.