A sample holder (3) for performing X-ray analysis on a crystalline sample (11) comprises a mounting support with a first end that can be attached to a goniometer head, whereby the crystalline sample (11) can be attached to the mounting support at a distance to the first end. The sample holder (3) further comprises a holder base at the first end of the mounting support with means for mounting the holder base to the goniometer head, whereby the holder base is configured to fit into a well (2) of a well plate (1). The holder base comprises a ferromagnetic material for mounting the holder base to a magnetic base element at or within the goniometer head. The mounting support comprises a tube preferably made of glass into which the crystalline sample (11) can be inserted. The sample holder (3) can also comprise a base disk (14) that provides for a lid for a well (2) of the well plate (1) after insertion of the sample holder (3) into the well (2). The holder base can also comprise a holder ring (7) that is arranged at the first end of the mounting support and that surrounds the mounting support in a circumferential manner The base disk (14) can be removably attachable to the holder ring (7). A crystalline sponge is attached to the mounting support.

An on-line energy dispersive X-ray diffraction (EDXRD) analyser for mineralogical analysis of material in a process stream or a sample is disclosed. The analyser includes a collimated X-ray source to produce a diverging beam of polychromatic X-rays, and an energy resolving X-ray detector, and a substantially X-ray transparent member having the form of a solid of revolution which is circularly symmetric about a central axis between the collimated X-ray source and the energy resolving X-ray detector, an outer surface of the X-ray transparent member positionable adjacent the material to be analysed. A primary beam collimator is disposed adjacent to or within the substantially X-ray transparent member to substantially prevent direct transmission of polychromatic X-rays emitted from the source to the detector. The analyser is configured such that the diverging beam of polychromatic X-rays are directed towards the substantially X-ray transparent member, and where the energy resolving X-ray detector collects a portion of the beam of X-rays diffracted by the material and outputs a signal containing energy information of the collected, diffracted X-rays.

An on-line energy dispersive X-ray diffraction (EDXRD) analyser for mineralogical analysis of material in a process stream or a sample is disclosed. The analyser includes a collimated X-ray source to produce a diverging beam of polychromatic X-rays, and an energy resolving X-ray detector, and a substantially X-ray transparent member having the form of a solid of revolution which is circularly symmetric about a central axis between the collimated X-ray source and the energy resolving X-ray detector, an outer surface of the X-ray transparent member positionable adjacent the material to be analysed. A primary beam collimator is disposed adjacent to or within the substantially X-ray transparent member to substantially prevent direct transmission of polychromatic X-rays emitted from the source to the detector. The analyser is configured such that the diverging beam of polychromatic X-rays are directed towards the substantially X-ray transparent member, and where the energy resolving X-ray detector collects a portion of the beam of X-rays diffracted by the material and outputs a signal containing energy information of the collected, diffracted X-rays.

A valence of a target element of a sample and crystallinity of a sample can be detected with a small device. The analysis device 100 includes: a placement holder 110 for placing a sample S; an X-ray source 11 for irradiating the sample S with X-rays; a first detector 141 for detecting characteristic X-rays generated from the sample S by the irradiation of the X-rays; a second detector 142 for detecting X-rays diffracted by the sample; and a signal processing device 20. The signal processing device 20 detects the valence of the target element of the sample based on the characteristic X-rays detected by the first detector 141, and detects the crystallographic data of the sample based on the X-rays detected by the second detector 142.

The present invention provides a method for analysis and determination of the heavy metal occurrence key mineral phases in industrial solid waste, by performing N concentration gradients dissociation determination of the heavy metal solid waste to be tested under the same dissociation conditions, to give the dissociation degrees of the heavy metal elements to be tested at N different concentration gradients; the dissociated solid residues after dissociation being quantitatively analyzed for the mineral phase, to give the relative content of each mineral phase in the M mineral phases of the heavy metal solid waste to be tested; then calculating to give the occurrence distribution proportion of the heavy metal elements in the mineral phase, which are accumulated from high to low; the occurrence key mineral phase whose cumulative occurrence proportion exceeds the preset cumulative threshold value is determined to be the key mineral phase of the heavy metal elements.

The present invention provides a method for analysis and determination of the heavy metal occurrence key mineral phases in industrial solid waste, by performing N concentration gradients dissociation determination of the heavy metal solid waste to be tested under the same dissociation conditions, to give the dissociation degrees of the heavy metal elements to be tested at N different concentration gradients; the dissociated solid residues after dissociation being quantitatively analyzed for the mineral phase, to give the relative content of each mineral phase in the M mineral phases of the heavy metal solid waste to be tested; then calculating to give the occurrence distribution proportion of the heavy metal elements in the mineral phase, which are accumulated from high to low; the occurrence key mineral phase whose cumulative occurrence proportion exceeds the preset cumulative threshold value is determined to be the key mineral phase of the heavy metal elements.

A method for two-dimensional mapping of crystal information of a polycrystalline material may include acquiring a diffraction pattern acquired by scanning an electron beam to a polycrystalline material, generating a plurality of clusters by applying a clustering algorithm to the acquired diffraction pattern based on unsupervised learning, acquiring crystal information of the polycrystalline material by applying a parallel deep convolutional neural network (DCNN) algorithm to each of the plurality of generated clusters based on supervised learning, and generating a two-dimensional image in which the acquired crystal information is mapped.

A system of collating a spectral data of an arbitrary material with spectral data of existing materials to identify the kind of the arbitrary material comprises a one-dimensional CNN processor calculating a characteristic value vector based on a spectral data of a material by a one-dimensional convolution neural network algorithm, and a metric learning processor computing a probability that the kind of the material is each kind of the existing materials from the characteristic value vector by a deep metric learning algorithm. The processors learn with the spectral data of existing materials to compute a probability for the kind of each material such that the probabilities for the kinds of the respective materials inputted for data for learning becomes maximum. When the data of the arbitrary material is inputted, the kind giving the maximum probability is identified as the kind of the arbitrary material with high precision.

A device for determining an effective piezoelectric coefficient of a thin film of a material of a sample, includes a source of x-rays incident on the sample; a detector of x-rays diffracted by the sample; a device for positioning the x-ray source and the x-ray detector with respect to the sample; a voltage source making contact with the sample; a device for controlling the voltage source so as to apply an electric field to the sample during an electrical cycle, the electric field generating a strain of the sample and a stress on the sample; a device for measuring a diffraction peak of the x-rays as a function of the electric field applied to the sample during the electrical cycle; a processing device configured to determine the piezoelectric coefficient.

The present invention relates to a method for determining the crystal structure of a crystal (4) capable of electron diffraction. The method includes the steps of obtaining a three-dimensional electron diffraction pattern and processing data from the electron diffraction pattern. The essence of the invention is that the method of determination consists in creating virtual diffraction frames containing a list of integrated scattered electron intensities. Subsequently, the dynamical diffraction theory is used in the data processing step. In another embodiment, the invention provides an apparatus capable of performing this method.