Aurora, IL, Jan. 24, 2011 (GLOBE NEWSWIRE) -- Cabot Microelectronics Corporation (Nasdaq:CCMP), the world's leading supplier of chemical mechanical planarization (CMP) polishing slurries and a growing ...

SAN FRANCISCO—The price of slurries used in chemical mechanical planarization (CMP) in semiconductor manufacturing is going up thanks to a Chinese embargo of rare earth oxides, according to an analyst ...

Chemical Mechanical Polishing (CMP) is a key process in high-density integrated circuits production, where CMPs are utilized during various stages for normally short periods of time. Hence, CMPs need ...

In semiconductor manufacturing, the chemical mechanical polishing (or CMP) step is used to planarize, or create a level topography, between each layer of the interconnect structure as the device is ...

Polishing with the help of CMP slurries is an integral part of microcircuit manufacturing. The particle size distribution (PSD) measurement on the CMP slurries is required to ensure their health, ...

In semiconductor manufacturing, a process called chemical mechanical planarization (CMP) is used for polishing wafer surfaces. CMP uses a slurry that contains both functional chemicals and ...

AURORA, Ill., Sep 28, 2015 (GLOBE NEWSWIRE via COMTEX) –Cabot Microelectronics Corporation, the world’s leading supplier of chemical mechanical planarization (CMP) polishing slurries and a growing CMP ...

Suppliers of chemical mechanical planarization (CMP) slurries may be fierce competitors of Cabot Microelectronics, the company considered to be the sector's number one player, but they agree with the ...

BILLERICA, Mass.--(BUSINESS WIRE)--Entegris, Inc. (Nasdaq: ENTG), a leader in specialty chemicals and advanced materials solutions, announced today it has acquired Sinmat, a CMP slurry manufacturer.

The semiconductor manufacturing industry continues to progress rapidly, with standards, materials and requirements evolving annually. Industry leaders leverage novel solutions to overcome their ...

Chipmakers are relying on machine learning for electroplating and wafer cleaning at leading-edge process nodes, augmenting traditional fault detection/classification and statistical process control in ...