The present invention relates to a lubricant containing molybdenum sulfide particles, and the molybdenum sulfide particles contain molybdenum disulfide having a 3R crystal structure. The present invention relates to a lubricating composition containing molybdenum sulfide particles, which are the lubricant, and a base oil which is a mineral oil, a synthetic oil, or a partially synthetic oil.

Sensor and method for detecting, monitoring and/or removing trace amounts of heavy metal in a liquid. The sensor including magnetic nanoparticle composites of carbon nanotubes intercalated with CoFe.sub.2O.sub.4; the method including contacting a sample of liquid with the magnetic nanoparticle composites and measuring the X-ray diffraction and magnetic properties of the magnetic nanoparticle composite, where a statistical difference in the X-ray diffraction or magnetic properties of the magnetic nanoparticle composite before and after contact between said sample of said liquid and said magnetic nanoparticle composite indicates the presence of a heavy metal in said liquid.

Sensor and method for detecting, monitoring and/or removing trace amounts of heavy metal in a liquid. The sensor including magnetic nanoparticle composites of carbon nanotubes intercalated with CoFe.sub.2O.sub.4; the method including contacting a sample of liquid with the magnetic nanoparticle composites and measuring the X-ray diffraction and magnetic properties of the magnetic nanoparticle composite, where a statistical difference in the X-ray diffraction or magnetic properties of the magnetic nanoparticle composite before and after contact between said sample of said liquid and said magnetic nanoparticle composite indicates the presence of a heavy metal in said liquid.

The invention described herein is a spectrometer having components allowing remote orientation of crystal analyzer and detector.

The present invention provides a method of deterioration analysis that enables detailed analysis of the deterioration, especially of the surface, of a polymer material containing at least two diene polymers. The present invention relates to a method of deterioration analysis including: irradiating a polymer material containing at least two diene polymers with high intensity x-rays; and measuring x-ray absorption while varying the energy of the x-rays, to analyze the deterioration of each diene polymer.

A fluorescence mode x-ray absorption spectroscopy apparatus includes an electron bombardment source of x-rays, a crystal analyzer, the source and the crystal analyzer defining a Rowland circle having a Rowland circle radius (R), a detector, and at least one stage configured to position a sample such that at least a portion of the sample is between the crystal analyzer and the detector.

A fluorescence mode x-ray absorption spectroscopy apparatus includes an electron bombardment source of x-rays, a crystal analyzer, the source and the crystal analyzer defining a Rowland circle having a Rowland circle radius (R), a detector, and at least one stage configured to position a sample such that at least a portion of the sample is between the crystal analyzer and the detector.

A method, system and apparatus are provided to measure magnetic characteristics of a comparatively thick magnetic sample in a magnetic field or nonmagnetic field by X-ray magnetic circular dichroism (XMCD). In particular, the method, system and apparatus measure the magnetic characteristics of the thick magnetic sample by irradiating the sample with X-ray, and detecting transmissive X-ray passing through the sample.

A method of supervised machine learning-based spectrum analysis information, using a neural network trained with spectrum information, to identify a specified feature of a given material, a system for supervised machine learning-based spectrum analysis, and a method of training a neural network to analyze spectrum data. The method of supervised machine learning-base spectrum analysis comprises inputting into the neural network spectrum data obtained from a sample of the given material; and the neural network processing the spectrum data, in accordance with the training of the neural network, and outputting one or more values for the specified feature of the sample of the material. In an embodiment, the training set of data includes x-ray absorption spectroscopy data for the given material. In an embodiment, the training set of data includes electron energy loss spectra (EELS) data.

The present invention relates to a lubricant containing molybdenum sulfide particles, and the molybdenum sulfide particles contain molybdenum disulfide having a 3R crystal structure. The present invention relates to a lubricating composition containing molybdenum sulfide particles, which are the lubricant, and a base oil which is a mineral oil, a synthetic oil, or a partially synthetic oil.