Project
SimuLingua
Simulation-Powered Computational Linguistics for Materials Foundation Models
Simulation-Powered Computational Linguistics for Materials Foundation Models
Active
Oliveris role
UC6 Lead — Digital Olfactory Array, CLTP & Device-Level Validation
Horizon Europe · Grant 101295295 · Coordinator: Flowphys AS
Challenge
The challenge
The challenge
Industrial chemical-state monitoring is often periodic, laboratory based and unable to provide continuous visibility of complex process chemistry. Materials discovery is also slowed by fragmented data and expensive simulation workflows.
Approach
How the project works
How the project works
SimuLingua combines multimodal scientific AI, physics-in-the-loop materials design and experimental validation. In the Oliveris-led UC6, selected sensing materials are integrated into a digital olfactory platform that generates chemical-state fingerprints for industrial process monitoring.
Outcomes
What it delivers
- Digital olfactory sensing platform
- Continuous chemical-state fingerprints
- Controlled AI-training datasets
- Geothermal-brine and VOC process intelligence
Oliveris
Our contribution
Oliveris leads Use Case 6, where materials selected by the AI models are turned into a working digital olfactory device and tested under controlled conditions. The team defines the test methods and sensor-measurement interfaces, designs and builds the interdigitated-electrode sensor arrays and associated measurement electronics, and leads device-level testing. A key part of the work is the Closed-Loop Training Platform (CLTP), which combines the olfactory array with calibrated industrial sensors, controlled process inputs, PLC/MIMO data acquisition, supervisory control and SCADA. The CLTP generates labelled data under controlled and representative operating conditions, giving the SimuLingua AI models real measurements that include chemical response, drift and environmental/process variation. This closes the loop between AI-driven materials discovery, physical testing and a sensing system designed with manufacture in mind.
Capabilities
Technologies in this project
Technology Areas
Sectors this supports
Consortium
Organisations in this project
Funded by the European Union
Funded by the European Union and managed by HaDEA (European Health and Digital Executive Agency) under Grant Agreement No. 101295295 (HORIZON-CL4-INDUSTRY-2025-01-DIGITAL-61 - GenAI4EU).
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.
Work with us
Discuss related work
If this project is relevant to your technical challenge, talk to Oliveris about the underlying capability, integration approach or a new collaborative application.
