Publications

Browse the library of peer-reviewed publications from the Intellegens team relating to machine learning, the Alchemite™ method, and applications of ML in research.

ChemRxiv oligonucleotides paper

The Potential of Machine Learning in Oligonucleotide Therapeutics Manufacturing

Degrees of uncertainty: conformal deep learning for non-invasive core body temperature prediction in extreme environments

Predicting concrete strength using machine learning and fresh-state measurements

Roadmap on metamaterial theory, modelling and design

Rapid Residual Stress Simulation and Distortion Mitigation in Laser Additive Manufacturing through Machine Learning

Book Chapter: ‘Adaptive Experimental Design’

Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop

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
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