HPC workflows turn ideas into products
Experimental data is the lifeblood of innovation. It is the only objective proof of whether new materials and device structures are ready to move into production and ultimately into the hands of consumers. But integrating new materials and device architectures into manufacturing lines has become an increasingly complex and expensive proposition, which is driving the need for more-efficient development methods in the semiconductor and clean energy sectors.
To address this need, Intermolecular has developed the High Productivity CombinatorialTM (HPC) platform, which combines innovative systems and methods in three functional areas – processing, characterization and analysis. These areas are fundamental to semiconductor and clean energy R&D.
Workflows built on this three-pronged HPC approach are custom-developed for each customer engagement. They form the backbone of Intermolecular’s R&D efforts, accelerating the pace and learning of our customer R&D programs, and ensuring a smooth transition of newly developed materials and architectures into high-volume production.
HPC workflows combine site-isolated, parallel or rapid-serial processing with throughput-matched characterization and automated data analysis and reporting. Each workflow enables rapid and efficient exploration of the relevant process and integration space, and produces the exact data types (e.g., physical, electrical) needed to create a robust data set and drive materials discovery and integration.
A smooth transition to production
At the appropriate stage of development, candidate materials and/or processes may be scaled up to full-wafer processing of blanket or patterned wafers, which can then be routed back to the customer’s fab or development facility for further processing and integration testing. This enables a much smoother transition into high-volume production than is possible with traditional R&D methods.
Intermolecular workflows have brought dozens of new products to market with unprecedented speed – and at substantially lower cost than traditional R&D methods – while also providing our customers with control over differentiated IP.