25 citations · 55 across the 7 of their papers we have counts for
7 papers
Machine Learning and statistical classification of CRISPR-Cas12a diagnostic assays
Nathan Khosla, Jake M. Lesinski, Marcus Haywood-Alexander +2
CRISPR-based diagnostics have gained increasing attention as biosensing tools able to address limitations in contemporary molecular diagnostic tests. To maximise the performance of…
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks
Marcus Haywood-Alexander, Giacomo Arcieri, Antonios Kamariotis +1
The accurate modelling of structural dynamics is crucial across numerous engineering applications, such as Structural Health Monitoring (SHM), seismic analysis, and vibration contr…
Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods
Marcus Haywood-Alexander, Robin S. Mills, Max D. Champneys +4
Research developments for structural dynamics in the fields of design, system identification and structural health monitoring (SHM) have dramatically expanded the bounds of what ca…
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications
Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa +2
The intersection of physics and machine learning has given rise to the physics-enhanced machine learning (PEML) paradigm, aiming to improve the capabilities and reduce the individu…
A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden +3
Ultrasonic guided waves offer a convenient and practical approach to structural health monitoring and non-destructive evaluation. A key property of guided waves is the fully-define…
Informative Bayesian Tools for Damage Localisation by Decomposition of Lamb Wave Signals
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden +2
Ultrasonic guided waves offer a convenient and practical approach to structural health monitoring and non-destructive evaluation, thanks to some distinct advantages. Guided waves,…
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden +3
The use of ultrasonic guided waves to probe the materials/structures for damage continues to increase in popularity for non-destructive evaluation (NDE) and structural health monit…