Summary
Maxwell solvers are widely used in science and industry for the design and analysis of photonic devices, radio frequency electronics, integrated circuits, antennas, metamaterials, and more. Unfortunately, solving Max-well’s equations for complex structures is extremely computationally intensive.
In the ERC funded research project DEEP VISION, we discovered a new approach to solve Maxwell's equations much faster (a factor 2000) and more accurate (a factor 10 at least) than conventional methods. In this proof of concept project, we will perform the necessary research and development to come from these promising results to a minimum viable product that can be used by academia and industry. We gather a group of early adopters, implement feedback from these users, and investigate different revenue models for the software, all in preparation of commercializing the software.
In the ERC funded research project DEEP VISION, we discovered a new approach to solve Maxwell's equations much faster (a factor 2000) and more accurate (a factor 10 at least) than conventional methods. In this proof of concept project, we will perform the necessary research and development to come from these promising results to a minimum viable product that can be used by academia and industry. We gather a group of early adopters, implement feedback from these users, and investigate different revenue models for the software, all in preparation of commercializing the software.
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Web resources: | https://cordis.europa.eu/project/id/101069402 |
Start date: | 01-01-2023 |
End date: | 30-06-2024 |
Total budget - Public funding: | - 150 000,00 Euro |
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Original description
Maxwell solvers are widely used in science and industry for the design and analysis of photonic devices, radio frequency electronics, integrated circuits, antennas, metamaterials, and more. Unfortunately, solving Max-well’s equations for complex structures is extremely computationally intensive.In the ERC funded research project DEEP VISION, we discovered a new approach to solve Maxwell's equations much faster (a factor 2000) and more accurate (a factor 10 at least) than conventional methods. In this proof of concept project, we will perform the necessary research and development to come from these promising results to a minimum viable product that can be used by academia and industry. We gather a group of early adopters, implement feedback from these users, and investigate different revenue models for the software, all in preparation of commercializing the software.
Status
SIGNEDCall topic
ERC-2022-POC1Update Date
09-02-2023
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