High productivity combinatorial R&D
Intermolecular has developed a unique approach to meeting R&D challenges in the semiconductor and clean energy industries. This new methodology is based on proprietary High Productivity Combinatorial (HPC) technology.
HPC accelerates cycles of learning with combinatorial processes, which conduct dozens 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.
Custom workflows for rapid exploration
Every project begins with an analysis of our partner’s unique technical challenges. We then apply the HPC technology to develop a customized workflow to allow rapid exploration of a wide range of possible solutions. This ultimately results in identification of robust manufacturing solutions with optimal performance, and strong competitive advantage – all in a fraction of the time required by traditional methods.
In summary, development based on HPC technology provides:
- Faster cycles of learning
- Smart experimentation
- Ability to explore a broad material or process space
- Multiple experiments per wafer
- Efficient resource utilization
History of combinatorial technology
Although our approach is unique in the semiconductor and clean-energy sectors, 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.