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Elsyca Offers Free Webinars on Simulation Tools for PCB Copper Balancing
June 16, 2020 | ElsycaEstimated reading time: Less than a minute

Elsyca has recently developed an exciting new technology for PCB CAM engineers and designers to validate their panel layout against plating targets and automatically add copper balancing. This results in panels with a more uniform layer thickness distribution and less plating related production problems.
These skills will give users a competitive advantage as it will enable them to meet customer needs more effectively than their competitors.
Elsyca also offers separate webinars for process engineers identify problems upfront and so that they may solve them before the implementation of a configuration and prior to production.
Details on upcoming webinars for PCB CAM engineers and designers can be found here.
Details on upcoming webinars for process engineers can be found here.
To watch the Elysca PCBBalance video and learn more now, visit elsycapcbbalance.com.
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MKS’ Atotech to Participate in IPCA Electronics Expo 2025
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MKS Showcases Next-generation PCB Manufacturing Solutions at the Thailand Electronics Circuit Asia 2025
08/06/2025 | MKS Instruments, Inc.MKS Inc, a global provider of enabling technologies that transform our world, today announced its participation in Thailand Electronics Circuit Asia 2025 (THECA 2025), taking place August 20–22 at BITEC in Bangkok.
Point2 Technology, Foxconn Interconnect Technology Partner to Revolutionize AI Cluster Scalability with Terabit-Speed Interconnect
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Advancing Electrolytic Copper Plating for AI-driven Package Substrates
08/05/2025 | Dirk Ruess and Mustafa Oezkoek, MKS’ AtotechThe rise of artificial intelligence (AI) applications has become a pivotal force driving growth in the server industry. Its challenging requirements for high-frequency and high-density computing are leading to an increasing demand for development of advanced manufacturing methods of package substrates with finer features, higher hole densities, and denser interconnects. These requirements are essential for modern multilayer board (MLB) designs, which play a critical role in AI hardware. However, these intricate designs introduce considerable manufacturing complexities.