4004.T

Showa Denko Decides to Raise Chloroprene Rubber Price

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水曜日, 4月 27, 2022
Aluminium, Computer, SDK, Carbon, ADR, Chemical substance, HD, Petrochemical, Car, Weather, Adhesive, ABM, Chloroprene, Electronics, Electricity, Company, Light-emitting diode, Inorganic compound

TOKYO, Apr 27, 2022 - (ACN Newswire) - Showa Denko (SDK) (TOKYO: 4004) has decided to raise prices of its chloroprene rubber (a kind of synthetic resin marketed under trade name of Showa Denko Chloroprene) by JPY60/kg or more, which is equivalent to US$470/m.t or more for US-dollar-based transactions and EUR440/m.t.

Key Points: 
  • TOKYO, Apr 27, 2022 - (ACN Newswire) - Showa Denko (SDK) (TOKYO: 4004) has decided to raise prices of its chloroprene rubber (a kind of synthetic resin marketed under trade name of Showa Denko Chloroprene) by JPY60/kg or more, which is equivalent to US$470/m.t or more for US-dollar-based transactions and EUR440/m.t.
  • Showa Denko Chloroprene has the advantage of being highly efficient at oil resistance, thermal resistance, weather resistance, and incombustibility.
  • Business environment of Showa Denko Chloroprene remains severe due to a substantial rise in prices of raw materials and electricity charges caused by surging fuel prices.
  • This time, however, we concluded that the Company is under the necessity to raise prices of chloroprene in order to ensure stable supply of our products, and decided to ask our customers to share in a rise in cost of chloroprene rubber.

Showa Denko Introduces Machine Learning Operations into AI-based Prediction Systems for Accelerating Materials Development

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木曜日, 4月 21, 2022
Aluminium, Computer, SDK, Carbon, ADR, Chemical substance, HD, Petrochemical, Research, Automation, ABM, Electronics, Company, Philosophy, Artificial intelligence, Solution, AI, MLOps, Light-emitting diode, Time, Inorganic compound, Medical device

(SDK; TSE:4004) has introduced MLOps* (Machine Learning Operations) for efficient management of machine learning models deployed into Artificial Intelligence (AI) systems for materials design ahead of its competitors.

Key Points: 
  • (SDK; TSE:4004) has introduced MLOps* (Machine Learning Operations) for efficient management of machine learning models deployed into Artificial Intelligence (AI) systems for materials design ahead of its competitors.
  • Machine learning models deployed into the AI systems predict material properties from formulations or suggest formulations that improve material properties.
  • The machine learning process for managing the AI systems includes inputting the latest data, data processing, and continuous training of machine learning models.
  • MLOps include continuous training of machine learning models, automating the machine learning process, and establishing tools and operational rules for collaborative development between data scientists and software engineers.

Showa Denko Launches Mass Production of 6-inch SiC Single Crystal Wafers

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月曜日, 3月 28, 2022
Carbon, NEDO, New Energy and Industrial Technology Development Organization, Electronics, Group, Xev, Inorganic compound, Association, Petrochemical, Research, Silicon carbide, HD, Ministry of Economy, Trade and Industry, ADR, Chemical substance, Government, Silicon, Technology, National Rural Development Partnership, ABM, Computer, Ministry, SDK, News, Semiconductor industry, Light-emitting diode, Aluminium, Ceramic, Borosilicate glass, Industry

(SDK) (TOKYO: 4004) has launched mass production of silicon carbide single crystal wafers (SiC wafers) with a diameter of 6 inches (150 mm), which are used as materials for SiC epitaxial wafers*1 to be processed and installed into SiC-based power semiconductors (SiC power semiconductors).

Key Points: 
  • (SDK) (TOKYO: 4004) has launched mass production of silicon carbide single crystal wafers (SiC wafers) with a diameter of 6 inches (150 mm), which are used as materials for SiC epitaxial wafers*1 to be processed and installed into SiC-based power semiconductors (SiC power semiconductors).
  • As an independent supplier of SiC epitaxial wafers, SDK has the global-top share in the market, and has been providing power-device manufacturers with Best in Class SiC epitaxial wafers.
  • SDK has been considering in-house production of SiC wafers, which are used as main material for SiC epitaxial wafers, aiming to improve quality of our SiC epitaxial wafers and establish a stable supply system for them.
  • This time, SDK decided to launch in-house mass production of 6-inch SiC wafers because plural customers have adopted SDK's SiC epitaxial wafers made from our in-house produced 6-inch SiC wafers.