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Watlow develops innovative technologies for industrial thermal applications that enable our customers to thrive.

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electrification white paper

White Paper: Examples of Equipment Refurbishment Opportunities to Control Costs in Semiconductor Fabrication

Many parts critical to front-end semiconductor fabrication (such as electrostatic chucks, wafer pedestals, ceramic heaters and implant wheels) experience wear-and-tear over time. This can cause parts to fail, and replacement can be expensive, both in terms of new parts and in terms of downtime needed to install them. Newer technologies are now available that make refurbishing existing parts a feasible and cost-effective option.Read more

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Working Remotely with Watlow Tools

Watlow SELECT® products continue to ship in five days or less.

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Meeting Nadcap Requirements with Modern Data Logging Methods

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What makes an ASPYRE® Power Controller smart?

Smart controllers are revolutionary devices that offer highly intuitive and automatic processes that will optimize your industrial operations.

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Arianna LeBlanc

          NSLC Engineering at U of H

            What were the activities?

           We built catapults, trebuchets, windmills, RC cars, and sea perches. We also visited Minute Maid Park where we were given a tour about the engineering of the park. We also went to NASA and Kemah and had several guest speakers.

            What was your favorite part?

           My favorite part was getting to build the sea perch and catapults because we were given limited materials and unique rules, such as no talking, which forced us to be creative.


Creating STEM sparks in young minds. Watlow sponsors more than 30 annual STEM outreach events and camps within the communities where we operate.

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Zenessa Anderson

               Tech ID Python and Machine Learning class 

              What were the activities?

               We learned about coding in Python, created projects like a video game and a machine learning tool that could recognize images, and learned about cryptology.

              What was your favorite part?

               My favorite part was learning how machine learning works and being able to create my own example of it. 

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