A method of diagnosing internal characteristics of a device includes applying a strong magnetic field to the device. The method can include reducing the strong magnetic field at a location of one or more sensors. At least one of the one or more sensors is proximate to the device. The method can include measuring induced magnetic fields around the device. The method can include measuring induced or intrinsic electrical current flow. The method can include measuring intrinsic magnetic properties. The induced magnetic fields can include diagnostic information on properties of the device and how the properties change over time. The device may be, for example, a battery, a capacitor, a supercapacitor, or a fuel cell. The presented measurement of magnetic susceptibility can be performed on materials, solutions, chemical substances, or tissue samples.

Systems and methods for quantitative susceptibility mapping (“QSM”) using magnetic resonance imaging (“MRI”) are described. Localized magnetic field information is used when performing the inversion to compute quantitative susceptibility maps. The localized magnetic field information can include multi-resolution subvolumes obtained by segmenting, or dividing, a field shift map. In some instances, a trained machine learning algorithm, such as a trained neural network, can be implemented to convert the localized magnetic field information into quantitative susceptibility data. These local susceptibility maps can be combined to form a composite quantitative susceptibility map of the imaging volume.

Embodiments include methods (and related systems, devices, and apparatuses) for determining a sorption separation factor for a binary gas mixture by applying a magnetic field to at least a portion of a sorbent (604) disposed in a chamber of a magnetic susceptibility device; directing a first gas stream including a first gas compound into the chamber at a first pressure and temperature to obtain a first magnetic susceptibility measurement; directing a second gas stream including a second gas compound into the chamber at a second pressure and temperature to obtain a second magnetic susceptibility measurement; directing a binary gas mixture including the first gas compound and the second gas compound into the chamber at a third pressure and temperature to obtain a third magnetic susceptibility measurement; and determining a sorption separation factor based on the first, the second, and the third magnetic susceptibility measurements.

Embodiments include methods (and related systems, devices, and apparatuses) for determining a sorption separation factor for a binary gas mixture by applying a magnetic field to at least a portion of a sorbent (604) disposed in a chamber of a magnetic susceptibility device; directing a first gas stream including a first gas compound into the chamber at a first pressure and temperature to obtain a first magnetic susceptibility measurement; directing a second gas stream including a second gas compound into the chamber at a second pressure and temperature to obtain a second magnetic susceptibility measurement; directing a binary gas mixture including the first gas compound and the second gas compound into the chamber at a third pressure and temperature to obtain a third magnetic susceptibility measurement; and determining a sorption separation factor based on the first, the second, and the third magnetic susceptibility measurements.

A method for determining at least one property of magnetic matter includes: applying a magnetic field to magnetic matter; directing first light on the magnetic matter at a first set of incident angles; receiving a first set of signatures associated with the first light scattered from the magnetic matter; varying orientation of the magnetic matter with respect to the magnetic field; directing second light on the magnetic matter at a second set of incident angles; receiving a second set of signatures associated with the second light scattered from the magnetic matter; determining, by processing the first set and the second set of signatures according to a dispersion relation, at least one property of the magnetic matter.

A method for evaluating ultimate demagnetization temperature of magnet includes displaying a workspace interface. The workspace interface at least includes an operation area, a model view displaying area, and a demagnetization curve displaying area. A geometric model view of a geometric model file to be solved is displayed in the model view displaying area. Information input is received through the operation area and the model view displaying area, and performance parameters and designing variables to be solved and formulas are imported accordingly. Through calculating, a demagnetization curve with post-treatment for the magnet is obtained and displayed in the demagnetization curve displaying area.

A method for evaluating ultimate demagnetization temperature of magnet includes displaying a workspace interface. The workspace interface at least includes an operation area, a model view displaying area, and a demagnetization curve displaying area. A geometric model view of a geometric model file to be solved is displayed in the model view displaying area. Information input is received through the operation area and the model view displaying area, and performance parameters and designing variables to be solved and formulas are imported accordingly. Through calculating, a demagnetization curve with post-treatment for the magnet is obtained and displayed in the demagnetization curve displaying area.

A magnetic field generation device (100) includes a first magnet (1), a second magnet (2), and a position adjustment mechanism (5). The second magnet (2), together with the first magnet (1), generates a magnetic field. The position adjustment mechanism (5) adjusts a position of the first magnet (1). The magnetic field generation device (100) controls the value of the product of a magnetic flux density and a magnetic flux density gradient in the magnetic field through the adjustment of the position of the first magnet (1) by the position adjustment mechanism (5).

A magnetic field generation device (100) includes a first magnet (1), a second magnet (2), and a position adjustment mechanism (5). The second magnet (2), together with the first magnet (1), generates a magnetic field. The position adjustment mechanism (5) adjusts a position of the first magnet (1). The magnetic field generation device (100) controls the value of the product of a magnetic flux density and a magnetic flux density gradient in the magnetic field through the adjustment of the position of the first magnet (1) by the position adjustment mechanism (5).

Systems and methods for quantitative susceptibility mapping (QSM) using magnetic resonance imaging (MRI) are described. Localized magnetic field information is used when performing the inversion to compute quantitative susceptibility maps. The localized magnetic field information can include multi-resolution subvolumes obtained by segmenting, or dividing, a field shift map. In some instances, a trained machine learning algorithm, such as a trained neural network, can be implemented to convert the localized magnetic field information into quantitative susceptibility data. These local susceptibility maps can be combined to form a composite quantitative susceptibility map of the imaging volume.