Assembly Line

Nanoimprint lithography semiconductor manufacturing system that covers diverse applications with simple patterning mechanism

📅 Date:

🔖 Topics: Lithography

🏭 Vertical: Semiconductor

🏢 Organizations: Canon

On October 13, 2023, Canon announced today the launch of the FPA-1200NZ2C nanoimprint semiconductor manufacturing equipment, which executes circuit pattern transfer, the most important semiconductor manufacturing process. By bringing to market semiconductor manufacturing equipment with nanoimprint lithography (NIL) technology, in addition to existing photolithography systems, Canon is expanding its lineup of semiconductor manufacturing equipment to meet the needs of a wide range of users by covering from the most advanced semiconductor devices to the existing devices.

Canon’s NIL technology enables patterning with a minimum linewidth of 14 nm2, equivalent to the 5-nm-node3 required to produce most advanced logic semiconductors which are currently available. Furthermore, with further improvement of mask technology, NIL is expected to enable circuit patterning with a minimum linewidth of 10 nm, which corresponds to 2-nm-node.

Read more at Canon News

High-NA EUV Progress And Problems

IBM Unveils World's First 2 Nanometer Chip Technology, Opening a New Frontier for Semiconductors

📅 Date:

🔖 Topics: Lithography

🏭 Vertical: Semiconductor

🏢 Organizations: IBM

IBM (NYSE: IBM) today unveiled a breakthrough in semiconductor design and process with the development of the world’s first chip announced with 2 nanometer (nm) nanosheet technology. Semiconductors play critical roles in everything from computing, to appliances, to communication devices, transportation systems, and critical infrastructure.

The potential benefits of these advanced 2 nm chips could include:

  • Quadrupling cell phone battery life, only requiring users to charge their devices every four days.
  • Slashing the carbon footprint of data centers, which account for one percent of global energy use. Changing all of their servers to 2 nm-based processors could potentially reduce that number significantly.
  • Drastically speeding up a laptop’s functions, ranging from quicker processing in applications, to assisting in language translation more easily, to faster internet access.
  • Contributing to faster object detection and reaction time in autonomous vehicles like self-driving cars.

Read more at IBM Newsroom