Abstract: A system that includes a plurality of nodes configured to execute storage transactions. The nodes include a first node and a plurality of other nodes. The storage transactions are grouped into transaction sets that are to be executed in a predetermined order that ensures that dependencies between the transactions are observed. A cluster sequencer that resides on the first node is configured to increment a sequence number that identifies an active transaction set of the transaction sets and send the sequence number from the first node to the plurality of other nodes. Upon receipt of the sequence number, each one of the plurality of other nodes begins executing the transactions of the active transaction set without waiting for confirmation that all of the plurality of other nodes have the same sequence number.

Abstract: An integrated multi-step computer-implemented system and method for measuring and improving manufacturing processes and maximizing product research and development speed and efficiency includes a predictive model that predicts output from data input, an optimizer that optimizes input variables based upon desired output variables, and a library that stores data and information. The system further includes an artificial intelligence that receives requests and information from manufacturers and customers, and directs the requests and information to the predictive model if an output prediction is requested, to the optimizer if an optimized input is requested, or to the library if the requests cannot be answered by the predictive model or optimizer. The predictive model, the optimizer, and the library all interconnect with the artificial intelligence. The system further includes a high-throughput screening system that analyzes various material combinations and sends data to the library.

Abstract: An integrated multi-step computer-implemented system and method for measuring and improving manufacturing processes and maximizing product research and development speed and efficiency is disclosed. The system includes a predictive model that predicts output from data input, an optimizer that optimizes input variables based upon desired output variables, and a library that stores data and information. The system further includes an artificial intelligence that receives requests and information from manufacturers and customers, and directs the requests and information to the predictive model if an output prediction is requested, to the optimizer if an optimized input is requested, or to the library if the requests cannot be answered by the predictive model or optimizer. The predictive model, the optimizer, and the library all interconnect with the artificial intelligence. The system further includes a high-throughput screening system that analyzes various material combinations and sends data to the library.

Abstract: A sampling apparatus includes an ampoule barrel for receiving an ampoule through a first opening, the ampoule barrel comprising a second opening adapted to flow a liquid into the ampoule barrel and a structure adapted break a frangible tip of the ampoule.