Publications

Browse the library of peer-reviewed publications relating to the Alchemite™ method and its applications in research.

Ben Pellegrini, CEO of Intellegens, and Nick Parry, MPI’s Group Manager – Industrial Digitalisation

Materials Processing Institute adopts machine learning tool to accelerate steelmaking innovation

Book Chapter: ‘Adaptive Experimental Design’

Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Imputation vs QSAR for Toxicology Data Modeling

Designing 3D woven composites

Generating candidate tow architectures for 3D woven composites

Machine learning for steelmaking

Paper - ML superalloy microsrtructure and creep strength from physical descriptors

New approach to predicting superalloy microchemistry and properties

Greener concrete using a novel machine learning approach

Superalloy paper Oct 2022

Superalloy design using neural networks

Knowledge from noise – new algorithm turns uncertainty into a positive

NASA Technical Memorandum validates Alchemite™

Predicting pharmacokinetics with Optibrium and AstraZeneca

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