Tag: machine

TSUKUBA, Japan, Nov 17, 2023 – (ACN Newswire) – Researchers of RIKEN at Japan’s state-of-the-art synchrotron radiation facility, SPring-8, and their collaborators, have developed a faster and simpler way to carry out segmentation analysis, a vital process in materials science. The new method was published in the journal Science and Technology of Advanced Materials: Methods. The SPring-8 facility has a storage ring with a circumference of 1.5 km Segmentation analysis is used to understand the fine-scale composition of a material. It identifies distinct regions (or ‘segments’) with specific compositions, structural characteristics, or properties. This helps evaluate the suitability of a ... Read more

The ice machine rental service is a customer favorite, with rental plans starting as low as $134.99* per month Los Angeles, USA, 26th April 2023, ZEX PR WIRE,  In a world where the internet rules, LA Ice Machine has emerged as a one-of-a-kind online service. The ice machine rental service provider is one of the industry leaders in the rental ice machine industry, thanks to its hassle-free and convenient online rental services. There will be around 5.16 million internet users across the globe in 2023, according to reports. As people become increasingly dependent on the internet for all their problems, LA Ice Machine has gained a loyal customer ... Read more

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 Precision Machine & Manufacturing, Inc. (PMM) has announced a formal partnership with VYSISA Grupo https://vysisa.com.mx/ as the exclusive distributor for the sales and service of all new Rotary Feeders, Rotary Valves and replacement parts in Mexico, Panama, and Jamaica. About VYSISA Group- Privately held VYSISA Group brings more than 30-years of experience providing bulk handling solutions into industrial manufacturing industries throughout Latin America. VYSISA’s focus is reducing unscheduled downtime and maintenance costs by providing the highest quality products and service in the industry. In addition, VYSISA has a network of service centers to provide immediate support and availability of service ... Read more

A new approach can train a machine learning model to predict the properties of a material using only data obtained through simple measurements, saving time and money compared with those currently used. It was designed by researchers at Japan’s National Institute for Materials Science (NIMS), Asahi KASEI Corporation, Mitsubishi Chemical Corporation, Mitsui Chemicals, and Sumitomo Chemical Co and reported in the journal Science and Technology of Advanced Materials: Methods. “Machine learning is a powerful tool for predicting the composition of elements and process needed to fabricate a material with specific properties,” explains Ryo Tamura, a senior researcher at NIMS who ... Read more