STAFF PROFILE
Dr Tu Le
Position:
Senior Lecturer, 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
- Mai, H.,Le, T.,Chen, D.,Winkler, D.,Caruso, R. (2022). Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery In: Chemical Reviews, 122, 13478 - 13515
- Brown, S.,Yalcin, D.,Pandiancherri, S.,Le, T.,Orhan, I.,Hearn, K.,Han, Q.,Drummond, C.,Greaves, T. (2022). Characterising a protic ionic liquid library with applied machine learning algorithms In: Journal of Molecular Liquids, 367, 1 - 17
- 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
- Nguyen, H.,Nguyen, K.,Le, T.,Zhang, K. (2021). Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy In: Molecules (Basel, Switzerland), 26, -
- 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
Materials science, machine learning, artificial neural networks, computational chemistry,
4 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 2025)
- 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)