High Productivity Combinatorial Development
Intermolecular has developed a unique approach to meeting advanced materials development challenges. This new methodology is based on proprietary High Productivity Combinatorial (HPC) technology.
The HPC platform accelerates cycles of learning with combinatorial processes, which conduct tens or hundreds of simultaneous experiments. These are integrated with non-combinatorial techniques, as well as advanced metrology and Informatics tools for analysis of the experimental data.
Our discovery process begins with a discussion of the customers' requirements. We then apply the HPC technology iteratively to rapidly explore candidate materials. This ultimately results in a comprehensive data set that enables our customers to make better decision about their technology roadmap.
Development based on HPC technology provides:
Ability to survey a broad materials or process space
Multiple experiments per wafer
Faster cycles of learning
Efficient resource utilization
History of combinatorial technology
Although our approach is unique in the semiconductor sector, combinatorial technology has been widely used in other industries, especially where new materials function as primary enablers of product innovation. Examples include the pharmaceutical, biotechnology, and energy sectors, where combinatorial techniques have been accelerating development since the 1990s.
The use of combinatorial chemistry for materials discovery dates back to seminal work conducted in the 1970s, but the field truly blossomed in the 1990s with the application of computers and robotics. This enabled significant automation, as well as the management and analysis of large amounts of data generated in the combinatorial process.