Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery von Mai, Haoxin, Le, Tu C., Chen, Dehong, Winkler, David A., Caruso, Rachel A.

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Discovery and Optimization of Materials Using Evolutionary Approaches von Le, Tu C, Winkler, David A

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Synthesis of Layered Lead-Free Perovskite Nanocrystals with Precise Size and Shape Control and Their Photocatalytic Activity von Mai, Haoxin, Li, Xuying, Lu, Junlin, Wen, Xiaoming, Le, Tu C., Russo, Salvy P., Chen, Dehong, Caruso, Rachel A.

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Quantitative design rules for protein-resistant surface coatings using machine learning von Le, Tu C., Penna, Matthew, Winkler, David A., Yarovsky, Irene

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Fabrication of Zein‐Based Fibrous Scaffolds for Biomedical Applications—A Review von Rahman, Mustafijur, Dip, Tanvir Mahady, Haase, Tina, Truong, Yen Bach, Le, Tu C., Houshyar, Shadi

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Liquid metal-based catalysts for the electroreduction of carbon dioxide into solid carbon von Irfan, Mehmood, Zuraiqi, Karma, Nguyen, Chung Kim, Le, Tu C, Jabbar, Fahad, Ameen, Mariam, Parker, Caiden J, Chiang, Ken, Jones, Lathe A, Elbourne, Aaron, McConville, Christopher F, Yang, Dan, Daeneke, Torben

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Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy von Nguyen, Hoang T, Nguyen, Kate T Q, Le, Tu C, Zhang, Guomin

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Aqueous Solubility Prediction: Do Crystal Lattice Interactions Help? von Salahinejad, Maryam, Le, Tu C, Winkler, David A

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Machine Learning in the Development of Adsorbents for Clean Energy Application and Greenhouse Gas Capture von Mai, Haoxin, Le, Tu C., Chen, Dehong, Winkler, David A., Caruso, Rachel A.

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Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors von Orhan, Ibrahim B., Le, Tu C., Babarao, Ravichandar, Thornton, Aaron W.

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Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts von Mai, Haoxin, Le, Tu C., Hisatomi, Takashi, Chen, Dehong, Domen, Kazunari, Winkler, David A., Caruso, Rachel A.

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A review on the application of molecular descriptors and machine learning in polymer design von Zhao, Yuankai, Mulder, Roger J, Houshyar, Shadi, Le, Tu C

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Prediction of O2/N2 Selectivity in Metal–Organic Frameworks via High-Throughput Computational Screening and Machine Learning von Orhan, Ibrahim B, Daglar, Hilal, Keskin, Seda, Le, Tu C, Babarao, Ravichandar

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Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR von Winkler, David A., Le, Tu C.

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Quantum Chemistry–Machine Learning Approach for Predicting Properties of Lewis Acid–Lewis Base Adducts von Huynh, Hieu, Kelly, Thomas J., Vu, Linh, Hoang, Tung, Nguyen, Phuc An, Le, Tu C., Jarvis, Emily A., Phan, Hung

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Tunable 3D printed composite metamaterials with negative stiffness von Wu, Changlang, Peng, Chenxi, Le, Tu C, Das, R, Tran, Phuong

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Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations von Kadaoluwa Pathirannahalage, Sachini P, Meftahi, Nastaran, Elbourne, Aaron, Weiss, Alessia C. G, McConville, Chris F, Padua, Agilio, Winkler, David A, Costa Gomes, Margarida, Greaves, Tamar L, Le, Tu C, Besford, Quinn A, Christofferson, Andrew J

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Toward Cell Membrane Biomimetic Lipidic Cubic Phases: A High-Throughput Exploration of Lipid Compositional Space von Sarkar, Sampa, Tran, Nhiem, Rashid, Md Harunur, Le, Tu C, Yarovsky, Irene, Conn, Charlotte E, Drummond, Calum J

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Janus particles: recent advances in the biomedical applications von Le, Tu C, Zhai, Jiali, Chiu, Wei-Hsun, Tran, Phong A, Tran, Nhiem

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Manipulating the Ordered Nanostructure of Self-Assembled Monoolein and Phytantriol Nanoparticles with Unsaturated Fatty Acids von Tran, Nhiem, Mulet, Xavier, Hawley, Adrian M, Fong, Celesta, Zhai, Jiali, Le, Tu C, Ratcliffe, Julian, Drummond, Calum J

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