STAFF PROFILE
Dr Tu Le
Position:
Lecturer in Mechatronics
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Phone:
+61399252216
Email:
tu.le@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Orhan, I.,Daglar, H.,Keskin, S.,Le, T.,Babarao, R. (2022). Prediction of O2/N2Selectivity in Metal-Organic Frameworks via High-Throughput Computational Screening and Machine Learning In: ACS Applied Materials and Interfaces, 14, 736 - 749
- Duong, D.,Tran, H.,Kadaoluwa Pathirannahalage, S.,Brown, S.,Hassett, M.,Yalcin, D.,Meftahi, N.,Christofferson, A.,Greaves, T.,Le, T. (2022). Machine Learning Investigation of Viscosity and Ionic Conductivity of Protic Ionic Liquids in Water Mixtures In: The Journal of Chemical Physics, 156, 1 - 17
- Greaves, T.,Schaffarczyk McHale, K.,Burkart-Radke, R.,Harper, J.,Le, T. (2021). Machine learning approaches to understand and predict rate constants for organic processes in mixtures containing ionic liquids In: Physical Chemistry Chemical Physics, 23, 2742 - 2752
- Halgamuge, M.,Bojovschi, A.,Fisher, P.,Le, T.,Adeloju, S.,Murphy, S. (2021). Internet of Things and autonomous control for vertical cultivation walls towards smart food growing: A review In: Urban Forestry and Urban Greening, 61, 1 - 17
- Kadaoluwa Pathirannahalage, S.,Meftahi, N.,Elbourne, A.,Weiss, A.,McConville, C.,Padua, A.,Winkler, D.,Costa Gomes, M.,Greaves, T.,Le, T.,Besford, Q.,Christofferson, A. (2021). Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations In: Journal of Chemical Information and Modeling, 61, 4521 - 4536
- Mai, H.,Le, T.,Hisatomi, T.,Chen, D.,Domen, K.,Winkler, D.,Caruso, R. (2021). Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts In: iScience, 24, 1 - 18
- Nguyen, H.,Nguyen, T.,Le, T.,Soufeiani, L.,Mouritz, A. (2021). Predicting heat release properties of flammable fiber-polymer laminates using artificial neural networks In: Composites Science and Technology, 215, 1 - 8
- Nele, V.,Holme, M.,Rashid, M.,Barriga, H.,Le, T.,Thomas, M.,Doutch, J.,Yarovsky, I.,Stevens, M. (2021). Design of Lipid-Based Nanocarriers via Cation Modulation of Ethanol-Interdigitated Lipid Membranes In: Langmuir, 37, 11909 - 11921
- Le, T.,Zhai, J.,Chiu, W.,Tran, P.,Tran, N. (2019). Janus Particles: Recent Advances in the Biomedical Applications In: International Journal of Nanomedicine, 14, 6749 - 6777
- Sarkar, S.,Tran, N.,Rashid, M.,Le, T.,Yarovsky, I.,Conn, C.,Drummond, C. (2019). Toward Cell Membrane Biomimetic Lipidic Cubic Phases: A High-Throughput Exploration of Lipid Compositional Space In: ACS Applied Bio Materials, 2, 182 - 195
Materials science, machine learning, artificial neural networks, computational chemistry,
3 PhD Current Supervisions and 1 Masters by Research Current Supervisions
- Data-driven development of photocatalytic and optoelectronic perovskites. Funded by: ARC Discovery Projects commencing in 2022 from (2022 to 2024)
- Autonomous platform for remote aerosol-based threat neutralisation and soldier countermeasure therapeutics. Funded by: Defence Science Institute (DSI) Grant for Scholarships from (2018 to 2022)