Our Range of Services to Support Your Success
- Simulation of semiconductor processes
- Knowledge-based and data-driven models of semiconductor processes
- Material models for optics and electronics
- Design and layout of components and systems (MEMS, Beyond CMOS, quantum and photonics, electronics)
- Simulation for reliability assessments of electronic assemblies and systems
- Design for Test (DfT) and Design for Reliability (DfR)
Our Core Competencies to Help You Overcome Your Challenges
- Atomistic and continuum-based material modeling expertise for optics and electronics (e.g., metamaterials, nanomaterials)
- Design and simulation expertise in microsystems engineering and microelectronics
- Layout and design of MEMS, Beyond CMOS, quantum, electronic, and photonic components and systems
- System and electronics design and simulation
- EMC simulations for electronic components and systems
- Models for simulation (FEM, lumped elements, multiphysics, electrical, optical)
- Simulation expertise supported by strong technological competence in semiconductor processes
- Physics-based models for virtual prototyping in semiconductor technology and nanotechnology
- Process models and material models, especially for thin-film technologies
- Knowledge-based process models derived from data, knowledge, models, and AI
- Fast digital models enabled by expertise in AI, numerical methods, and high-performance computing
- Expertise in thermo-mechanical reliability assessment
- Design and construction of equipment for efficient testing of the electro-thermo-mechanical reliability of electronic assemblies and systems
- Investigation of the thermo-mechanical degradation mechanisms that are fundamentally responsible for failures in electronic components and systems
- Modeling of degradation processes using advanced concepts from fracture mechanics and damage mechanics
- Quantification and modeling of the progression of damage over time in electronic assemblies and systems to enable precise service life prediction
- Development of experimentally validated simulation methods for optimizing the design of new products and for in-situ monitoring of electronics reliability during operation
- Development of compact models and digital twins for the reliability assessment of electronic assemblies and systems across the entire value chain
Our Research Topics for Future Innovations
- Design and implementation of knowledge-enhanced process models
- Use of heterogeneous platforms for AI acceleration
- Prediction of test and measurement results using complex data-driven models
- FAST modeling (Flexible, Appropriate, Structured, Transparent) of the electro-thermo-mechanical behavior of electronic components and systems
- DfR simulation of electro-thermo-mechanical reliability along the value chain (methodological approach: compact models)
- Compact digital twins for implementation in ECS and in full-system simulations (e.g., automotive, robotics, power plants)
- Simulation of semiconductor technology processes
- Simulation of materials in semiconductor technology and of nanodevices
- Simulations for the development of new energy storage materials
- Process models for sustainability analysis of production cycles
- Design and mask services for MEMS and MOEMS components and nanodevices
- PCM structures for process control
- PHM: Hierarchical system of hybrid models (Hierarchy: system « feature / Hybrid: PoF & data-driven approach)