Philip A. Martin

University of Manchester — United Kingdom

Chemistry · Physical Sciences

27h-index2.6kcitations172works2.62yr avg
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Research Topics

Spectroscopy and Laser Applications(50), Atmospheric Ozone and Climate(24), Laser Design and Applications(23), Laser-induced spectroscopy and plasma(18), Wildlife Ecology and Conservation(16)

Publications172 total

Optical Coherence Tomography Velocimetry for In-Line Processing: The Spherical-to-Wormlike Micelle Transition
ACS Engineering Au·2025Open Access
Interpretable‐AI‐Based Model Structural Transfer Learning to Accelerate Bioprocess Model Construction
Biotechnology and Bioengineering·2025· 1 citedOpen Access
Machine Learning-Aided Robust Optimisation for Identifying Optimal Operational Spaces under Uncertainty
Systems and Control Transactions·2025Open Access
AI-Driven Automatic Mechanistic Model Transfer Learning for Accelerating Process Development
Systems and Control Transactions·2025Open Access
A novel approach to identify optimal and flexible operational spaces for product quality control
Chemical Engineering Science·2025· 2 citedOpen Access
Integrating feature attribution and symbolic regression for automatic model structure identification and strategic sampling
Computers & Chemical Engineering·2025· 3 citedOpen Access
Optical Coherence Tomography Velocimetry for In-Line Processing: Velocity Profiles and the Intermittency of Opaque Complex Fluids In Situ
ACS Engineering Au·2025· 2 citedOpen Access
Appendix to Chapter 6
Cornell University Press eBooks·2025
Appendix to Chapter 3
Cornell University Press eBooks·2025
Appendix to Chapter 5
Cornell University Press eBooks·2025
Appendix to Chapter 2
Cornell University Press eBooks·2025
Appendix to Chapter 4
Cornell University Press eBooks·2025
Laser Ablation – Laser Absorption Spectroscopy (LA-LAS) for Isotopic Analysis in Nuclear Processing
2025
A numerical study on the mixing time prediction of miscible liquids with high viscosity ratios in turbulently stirred vessels
Chemical Engineering Science·2024· 5 citedOpen Access
Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development
Chemical Engineering Science·2024· 10 citedOpen Access
Fault Detection and Isolation for Time-Varying Processes Using Neural-Based Principal Component Analysis
Processes·2024· 7 citedOpen Access
Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development
arXiv (Cornell University)·2024Open Access
Machine learning for viscoelastic constitutive model identification and parameterisation using Large Amplitude Oscillatory Shear
Chemical Engineering Science·2024· 6 citedOpen Access
Constructing a Symbolic Regression-Based Interpretable Soft Sensor for Industrial Data Analytics and Product Quality Control
Industrial & Engineering Chemistry Research·2024· 7 citedOpen Access
Investigation of mixing miscible liquids with high viscosity contrasts in turbulently stirred vessels using electrical resistance tomography
Chemical Engineering Journal·2024· 11 citedOpen Access
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Frequent Co-authors

V. L. Kasyutich(9), Raja K. Iyer(6), William J. Sutherland(6), Silviu O. Petrovan(5), Gorm E. Shackelford(5), Rebecca K. Smith(5), Shaojun Xu(5), Robert J. Holdsworth(5), Tatsuya Amano(4), J. Christopher Whitehead(4), Miklós Fehér(4), Paul Coffey(4), Edward D. McNaghten(4), Nick A. Littlewood(3), Ricardo Rocha(3), Max Mowbray(3), César Mendoza(3), Amanda Lane(3), Dongda Zhang(3), Gregory Hull(3)