Strategic Project Partner for Advanced 3D CFD, Biomimetic In-Chip Cooling, and PINN AI Twins

We are seeking a formal project cooperation to join upcoming European consortia as a strategic, highly adaptable academic-industrial partner for the Innovation Action call HORIZON-CL4-2027-04-DATA-09. Our objective is to take formal ownership of targeted technical tasks within specific Work Packages, bridging the gap from TRL 6-7 prototypes to fully operational TRL 8 industrial deployments.

We are looking to cooperate with project coordinators, technology developers, and data centre operators who require deep numerical simulation capabilities, physics-informed machine learning, and physical performance validation to satisfy the call guidelines. We seek to integrate our engineering assets through the following collaborative models:

1. Joint R and D on Multi-Scale Thermal Management: Collaborating with hardware providers to execute high-resolution 3D CFD analysis and structural shape optimization for direct-to-silicon cooling. We seek to adapt our tescilli biomimetic configurations to the consortium's specific processing layouts to eliminate severe localized hotspots.

2. Co-Development of Physics-Informed Digital Twins: Partnering with software and workload automation developers to embed fundamental laws of thermo-fluid dynamics directly into neural network loss functions. This cooperation aims to deploy low-latency, real-time thermal forecasting digital twins for safe dynamic overclocking.

3. Integration of Thermal Energy Storage Systems: Working alongside environmental and energy systems integrators to model thermodynamic exergy loops. We aim to design Thermal Energy Storage buffer loops to flatline dynamic heat mismatches, securing a stable 55 to 95C drive required for continuous sorption or circular district heating systems.

4. Joint Lab Validation and De-risking: Cooperating with consortium members to physically validate virtual CFD models under simulated extreme load conditions within our advanced thermal performance testing laboratories prior to full-scale scale-up.

We are fully prepared to contribute actively to the proposal writing stage, defining clear interfaces between our thermal framework and the consortium's computing architectures to maximize the proposal's Excellence and Impact evaluation scores.

Contact: barisgurel@sdu.edu.tr