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A. Leonard Nicusan
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Cited by
Year
Recent advances in positron emission particle tracking: a comparative review
CRK Windows-Yule, MT Herald, AL Nicuşan, CS Wiggins, G Pratx, ...
Reports on progress in physics 85 (1), 016101, 2022
512022
Positron emission particle tracking using machine learning
AL Nicuşan, CRK Windows-Yule
Review of Scientific Instruments 91 (1), 2020
512020
Positron Emission Particle Tracking: A Comprehensive Guide
K Windows-Yule, L Nicuşan, MT Herald, S Manger, D Parker
IOP Publishing, 2022
212022
Autonomous digitizer calibration of a Monte Carlo detector model through evolutionary simulation
M Herald, A Nicuşan, TK Wheldon, J Seville, C Windows-Yule
Scientific Reports 12 (1), 19535, 2022
82022
Acces: Autonomous characterisation and calibration via evolutionary simulation
AL Nicusan, D Werner, JA Sykes, J Seville, K Windows-Yule
GitHub, San Francisco, CA, USA, Tech. Rep, 2022
52022
Application of Positron Emission Particle Tracking (PEPT) for the evaluation of powder behaviour in an incline linear blender for Continuous Direct Compression (CDC)
O Jones-Salkey, AL Nicusan, CRK Windows-Yule, A Ingram, D Werner, ...
International Journal of Pharmaceutics 645, 123361, 2023
42023
Using AI/ML to predict blending performance and process sensitivity for Continuous Direct Compression (CDC)
O Jones-Salkey, CRK Windows-Yule, A Ingram, L Stahler, AL Nicusan, ...
International Journal of Pharmaceutics 651, 123796, 2024
32024
Comparison with other techniques
K Windows-Yule, L Nicuşan, MT Herald, S Manger, D Parker
Positron Emission Particle Tracking: A Comprehensive Guide, 2022
32022
On the autonomous validation and comparison of particle models for a Newtonian laminar flow mixing model using PEPT
R Hart-Villamil, A Ingram, C Windows-Yule, S Gupta, AL Nicuşan
Chemical Engineering Research and Design 206, 139-150, 2024
22024
Numerical modelling and imaging of industrial-scale particulate systems: A review of contemporary challenges and solutions
KWY CR, S Benyahia, P Toson, H Che, AL Nicuşan
KONA Powder and Particle Journal, 2025007, 2024
22024
Machine learning is used to conduct positron emission particle tracking
S Mandel
Scilight 2020 (4), 2020
22020
Effect of cylinder wall parameters on the final packing density of mono-disperse spheres subject to three-dimensional vibrations
JR Grogan, AL Nicuşan, CRK Windows-Yule
Particuology 91, 211-225, 2024
12024
The sensitivity of powder characterization tool measurements to particle properties
BD Jenkins, AL Nicuşan, A Neveu, G Lumay, F Francqui, JPK Seville, ...
Powder Technology 448, 120231, 2024
2024
Data-driven Optimisation of the Ventilation Systems in Underground Car Parks: a CFD-DNN study
M Zandie, AL Nicusan, S Sharifi, R Marriot, M Jaffar, K Windows-Yule, ...
Journal of Building Engineering, 111181, 2024
2024
An Industry-Focussed, AI-Driven Approach to the Calibration, Validation, and Optimisation of DEM and CFD-DEM Simulations
K Windows-Yule, AL Nicusan, D Werner, B Jenkins
2024 AIChE Annual Meeting, 2024
2024
Predicting tablet properties using In-Line measurements and evolutionary equation Discovery: A high shear wet granulation study
I Munu, AL Nicusan, J Crooks, K Pitt, C Windows-Yule, A Ingram
International Journal of Pharmaceutics 661, 124405, 2024
2024
Validation of simulations of particulate, fluid and multiphase systems using positron emission particle tracking: A review
JA Sykes, D Weston, N Adio, H Che, R Hart-Villamil, AL Nicuşan, ...
Particuology, 2024
2024
A multidisciplinary perspective on the present and future of particle imaging
CRK Windows-Yule, KA Buist, K Taghizadeh, G Finotello, AL Nicuşan
Particuology, 2024
2024
BEAR PGR Conference 2024-Conference proceedings
C Bose, R Hart-Villamil, X Lian, K Kopec-Harding, L Hai, J Bates, ...
University of Birmingham, 2024
2024
Data Driven Method Using Powder Characterisation Tools to Calibrate DEM Simulations
B Jenkins, AL Nicusan, A Neveu, G Lumay, F Francqui, J Seville, ...
2023 AIChE Annual Meeting, 2023
2023
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