Embodiments of the disclosure generally relate to a system, apparatus and method for testing a coating over a semiconductor chamber component. In one embodiment, a test station comprises a hollow tube, a sensor coupled to a top end of the tube and a processing system communicatively coupled to the sensor. The hollow tube has an open bottom end configured for sealingly engaging a coating layer of the semiconductor chamber component. The sensor is configured to detect the presence of a gaseous byproduct of a reaction between a reagent disposed in the hollow tube and a base layer disposed under the coating layer. The processing system is configured to determine exposure of the base layer through the coating layer in response to information about the presence of the gaseous byproduct. In another embodiment, the processing system is communicatively coupled to each sensor of a plurality of test stations.

A method of measuring the contact angle of a silicon wafer according to the present disclosure can detect differences in the severe hydrophilicity level of the silicon wafer surface, such differences not being detectable by contact angle measurement using pure water. The method of measuring a contact angle of a silicon wafer includes dripping a droplet on a surface of a silicon wafer, and measuring a contact angle of the surface of the silicon wafer from an image of the droplet. The droplet includes an aqueous solution having a surface tension greater than a surface tension of pure water.

An information processing apparatus (5) includes an information acquisition section (500) configured to acquire crack occurrence state information including crack state information indicating crack state of a substrate that has been cracked and device state information indicating a state of a polishing unit when the substrate processing process is performed on the cracked substrate; and a crack occurrence process identifying section (501) configured to identify a process that causes the crack in the substrate by inputting the crack occurrence state information acquired by the information acquisition section (500) to a learning model (11) in response to the occurrence of the crack in the substrate. The learning model (11) has been generated by machine learning that causes the learning model (11) to learn a correlation between the crack occurrence state information and crack occurrence process information indicating the process that causes the crack in the substrate.

A temperature measuring apparatus for measuring a temperature of a substrate is described. A light emitting source that emits light signals such as laser pulses are applied to the substrate. A detector on the other side of the light emitting source receives the reflected laser pulses. The detector further receives emission signals associated with temperature or energy density that is radiated from the surface of the substrate. The temperature measuring apparatus determines the temperature of the substrate during a thermal process using the received laser pulses and the emission signals. To improve the signal to noise ratio of the reflected laser pulses, a polarizer may be used to polarize the laser pulses to have a S polarization. The angle in which the polarized laser pulses are applied towards the substrate may also be controlled to enhance the signal to noise ratio at the detector's end.

An analysis device includes a vapor phase decomposition unit, a heating unit, an evacuation unit, a recovery unit and an analysis unit. The vapor phase decomposition unit performs vapor phase decomposition of a first film on a substrate. The heating unit heats the substrate. The evacuation unit evacuates gas in the heating unit to an outside of the heating unit. The recovery unit supplies liquid on a front surface of the substrate, moves the liquid on the front surface of the substrate, and recovers the liquid. The analysis unit analyzes contents of the liquid.

Methods and systems for performing simultaneous spectroscopic measurements of semiconductor structures over a broad range of angles of incidence (AOI), azimuth angles, or both, are presented herein. Spectra including two or more sub-ranges of angles of incidence, azimuth angles, or both, are simultaneously measured over different sensor areas at high throughput. Collected light is linearly dispersed across different photosensitive areas of one or more detectors according to wavelength for each subrange of AOIs, azimuth angles, or both. Each different photosensitive area is arranged on the one or more detectors to perform a separate spectroscopic measurement for each different range of AOIs, azimuth angles, or both. In this manner, a broad range of AOIs, azimuth angles, or both, are detected with high signal to noise ratio, simultaneously. This approach enables high throughput measurements of high aspect ratio structures with high throughput, precision, and accuracy.

Various samples are generated on a substrate. The samples each includes or consists of one or more analytes. In some instances, the samples are generated through the use of gels or through vapor deposition techniques. The samples are used in an instrument for screening large numbers of analytes by locating the samples between a working electrode and a counter electrode assembly. The instrument also includes one or more light sources for illuminating each of the samples. The instrument is configured to measure the photocurrent formed through a sample as a result of the illumination of the sample.

Disclosed herein are approaches for measuring lateral dopant concentration and distribution in high aspect radio trench structures. In one approach, a method may include providing a substrate including a plurality of alternating vertical structures and trenches, and removing a portion of the substrate to expose a sidewall of the first vertical structure of the plurality of structures. The method may further include directing a spectrometry beam into the sidewall of the first vertical structure to determine a dopant characteristic of the first vertical structure, wherein the spectrometry beam is delivered perpendicular to a plane defined by the sidewall of the first vertical structure.

A system includes a plurality of semiconductor processing tools; a carrier purge station; a carrier repair station; and an overhead transport (OHT) loop for transporting one or more substrate carriers among the plurality of semiconductor processing tools, the carrier purge station, and the carrier repair station. The carrier purge station is configured to receive a substrate carrier from one of the plurality of semiconductor processing tools, purge the substrate carrier with an inert gas, and determine if the substrate carrier needs repair. The carrier repair station is configured to receive a substrate carrier to be repaired and replace one or more parts in the substrate carrier.

A method for predicting the electrical functionality of a semiconductor package, the method includes performing a first stiffness test for a first semiconductor package, receiving failure data for the first semiconductor package, the failure data includes results of an electrical test performed after the first semiconductor package is assembled on a printed circuit board, generating a database comprising results of the first stiffness test as a function of the failure data for the first semiconductor package, performing a second stiffness test for a second semiconductor package, identifying a unique result from the results of the first stiffness test in the database, the unique result aligns with a result of the second stiffness test, and predicting a failure data for the second semiconductor package based on the failure data for the first semiconductor package which corresponds to the unique result of the first stiffness test identified in the database.