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intellegens.ai
Advanced material design
using deep learning
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
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
intellegens.ai
Alchemite™ machine learning
Standard algorithms need all inputs to calculate outputs
Typical experimental data is 5% complete
Alchemite™ predicts from available inputs
intellegens.ai
Optimized design process
Reduce costs - 90% reduction in experiments and fewer
measurements for expensive quantities
Accelerate discovery and validation to 2 years
intellegens.ai
Case study: quantum material for thermometry
90% of the cost of a thermometer is for calibration
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
intellegens.ai
Lack of experimental data
Composition
Phasestability
intellegens.ai
Large amount of computational data
Composition
Phasestability
Composition
DFTphasestability
intellegens.ai
Simple experimental-computational relationship
Composition
Phasestability
Composition
Phasestability
DFTphasestability
DFT phase stability
intellegens.ai
Computational data guides extrapolation
Composition
Phasestability
DFT phase stability Composition
Composition
PhasestabilityPhasestability
DFTphasestability
intellegens.ai
Alchemite machine learning
Temperature range
Sensitivity
Stability
Cost
Robust
Resistance
Contacts
intellegens.ai
Experimental validation
Ge 89% Au 11% Quench
intellegens.ai
Experimental validation
intellegens.ai
Experimental validation
Measurements stable over 25 cycles and 6 months
intellegens.ai
Nickel & moly alloys Batteries Steels for welding
Metal-organic framework Concrete Drug design
Further materials and drug design
intellegens.ai
Future opportunities: Integrated software
Load data1
Training2
Predict & design3
intellegens.ai
Design, analyse, and share new materials
intellegens.ai
Manage models and analyse workflow
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
intellegens.ai
Case study: alloy for direct laser deposition
intellegens.ai
Direct laser deposition is similar to welding
Direct laser
deposition
Welding
intellegens.ai
Lack of data for laser deposition
Composition
Laserdeposition
intellegens.ai
Large amount of welding data
Composition
Laserdeposition
Composition
Welding
intellegens.ai
Simple welding-deposition relationship
Composition
Laserdeposition
Welding Composition
Welding
Laserdeposition
intellegens.ai
Welding data guides extrapolation
Composition
Laserdeposition
Welding Composition
Composition
Welding
LaserdepositionLaserdeposition
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
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
intellegens.ai
Experimental validation
Materials & Design 168, 107644 (2019)
intellegens.ai
Experimental validation
Materials & Design 168, 107644 (2019)
intellegens.ai
Experimental validation
Materials & Design 168, 107644 (2019)

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