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- 1. intellegens.ai Advanced material design using deep learning
- 2. intellegens.ai About Intellegens Machine learning software to aid experimental design developed at University of Cambridge Merge and aggregate data Predictive models reduce costs and accelerate discovery
- 3. intellegens.ai Traditional experimental design Process is expert driven, subjective, and iterative through trial and improvement Process takes ~20 years and specialist materials cost >$10m to develop, drugs cost >$1bn
- 4. intellegens.ai Alchemite™ machine learning Standard algorithms need all inputs to calculate outputs Typical experimental data is 5% complete Alchemite™ predicts from available inputs
- 5. intellegens.ai Optimized design process Reduce costs - 90% reduction in experiments and fewer measurements for expensive quantities Accelerate discovery and validation to 2 years
- 6. intellegens.ai Case study: quantum material for thermometry 90% of the cost of a thermometer is for calibration
- 7. intellegens.ai Case study: quantum material for thermometry 90% of the cost of a thermometer is for calibration Require a simple resistance-temperature relationship over a wide temperature range Want constant sensitivity T/R dR/dT with temperature Thermometer must be stable
- 8. intellegens.ai Lack of experimental data Composition Phasestability
- 9. intellegens.ai Large amount of computational data Composition Phasestability Composition DFTphasestability
- 10. intellegens.ai Simple experimental-computational relationship Composition Phasestability Composition Phasestability DFTphasestability DFT phase stability
- 11. intellegens.ai Computational data guides extrapolation Composition Phasestability DFT phase stability Composition Composition PhasestabilityPhasestability DFTphasestability
- 12. intellegens.ai Alchemite machine learning Temperature range Sensitivity Stability Cost Robust Resistance Contacts
- 13. intellegens.ai Experimental validation Ge 89% Au 11% Quench
- 15. intellegens.ai Experimental validation Measurements stable over 25 cycles and 6 months
- 16. intellegens.ai Nickel & moly alloys Batteries Steels for welding Metal-organic framework Concrete Drug design Further materials and drug design
- 17. intellegens.ai Future opportunities: Integrated software Load data1 Training2 Predict & design3
- 18. intellegens.ai Design, analyse, and share new materials
- 19. intellegens.ai Manage models and analyse workflow
- 20. intellegens.ai Summary of future opportunities of Alchemite™ Alchemite™, a full stack machine learning solution to merge sparse data Designed and experimentally verified material for thermometry, and other alloys and drugs Show Stand 1311 Contact ben@intellegens.ai Website https://intellegens.ai Demo https://app.intellegens.ai/steel_optimise Papers https://www.intellegens.ai/paper.html
- 21. intellegens.ai Case study: alloy for direct laser deposition
- 22. intellegens.ai Direct laser deposition is similar to welding Direct laser deposition Welding
- 23. intellegens.ai Lack of data for laser deposition Composition Laserdeposition
- 24. intellegens.ai Large amount of welding data Composition Laserdeposition Composition Welding
- 25. intellegens.ai Simple welding-deposition relationship Composition Laserdeposition Welding Composition Welding Laserdeposition
- 26. intellegens.ai Welding data guides extrapolation Composition Laserdeposition Welding Composition Composition Welding LaserdepositionLaserdeposition
- 27. intellegens.ai Targets for direct laser deposition alloy Elemental cost < 25 $kg-1 Density < 8500 kgm-3 γ’ content < 25 wt% Oxidation resistance < 0.3 mgcm-2 Processability < 0.15% defects Phase stability > 99.0 wt% γ’ solvus > 1000˚C Thermal resistance > 0.04 KΩ-1 m-3 Yield stress at 900˚C > 200 MPa Tensile strength at 900˚C > 300 MPa Tensile elongation at 700˚C > 8% 1000hr stress rupture at 800˚C > 100 MPa Fatigue life at 500 MPa, 700˚C > 105 cycles
- 28. intellegens.ai Composition of alloy for direct laser deposition Cr 19% Co 4% Mo 4.9% W 1.2% Zr 0.05% Nb 3% Al 2.9% C 0.04% B 0.01% Ni balance Exposure 0.8 THT 1230ºC
- 29. intellegens.ai Experimental validation Materials & Design 168, 107644 (2019)
- 30. intellegens.ai Experimental validation Materials & Design 168, 107644 (2019)
- 31. intellegens.ai Experimental validation Materials & Design 168, 107644 (2019)