Search Results - "Le, Tu C"
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Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery
Published in Chemical reviews (24-08-2022)“…Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels, reducing the impact of global warming, and providing solutions to…”
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Discovery and Optimization of Materials Using Evolutionary Approaches
Published in Chemical reviews (25-05-2016)“…Materials science is undergoing a revolution, generating valuable new materials such as flexible solar panels, biomaterials and printable tissues, new…”
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3
Synthesis of Layered Lead-Free Perovskite Nanocrystals with Precise Size and Shape Control and Their Photocatalytic Activity
Published in Journal of the American Chemical Society (09-08-2023)“…Halide perovskites have attracted enormous attention due to their potential applications in optoelectronics and photocatalysis. However, concerns over their…”
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Quantitative design rules for protein-resistant surface coatings using machine learning
Published in Scientific reports (22-01-2019)“…Preventing biological contamination (biofouling) is key to successful development of novel surface and nanoparticle-based technologies in the manufacturing…”
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Fabrication of Zein‐Based Fibrous Scaffolds for Biomedical Applications—A Review
Published in Macromolecular materials and engineering (01-12-2023)“…Zein, which accounts for around 80% of the total protein composition in corn, is a biocompatible and biodegradable substance derived from renewable sources…”
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Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy
Published in Molecules (Basel, Switzerland) (15-02-2021)“…The evaluation and interpretation of the behavior of construction materials under fire conditions have been complicated. Over the last few years, artificial…”
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Aqueous Solubility Prediction: Do Crystal Lattice Interactions Help?
Published in Molecular pharmaceutics (01-07-2013)“…Aqueous solubility is a very important physical property of small molecule drugs and drug candidates but also one of the most difficult to predict accurately…”
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Machine Learning in the Development of Adsorbents for Clean Energy Application and Greenhouse Gas Capture
Published in Advanced science (01-12-2022)“…Addressing climate change challenges by reducing greenhouse gas levels requires innovative adsorbent materials for clean energy applications. Recent progress…”
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Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors
Published in Communications chemistry (03-10-2023)“…Metal-Organic frameworks (MOFs) have been considered for various gas storage and separation applications. Theoretically, there are an infinite number of MOFs…”
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Use of metamodels for rapid discovery of narrow bandgap oxide photocatalysts
Published in iScience (24-09-2021)“…New photocatalysts are traditionally identified through trial-and-error methods. Machine learning has shown considerable promise for improving the efficiency…”
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Quantum Chemistry–Machine Learning Approach for Predicting Properties of Lewis Acid–Lewis Base Adducts
Published in ACS omega (30-05-2023)“…Synthetic design allowing predictive control of charge transfer and other optoelectronic properties of Lewis acid adducts remains elusive. This challenge must…”
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Toward Cell Membrane Biomimetic Lipidic Cubic Phases: A High-Throughput Exploration of Lipid Compositional Space
Published in ACS applied bio materials (22-01-2019)“…The bicontinuous lipidic cubic phase (LCP), which is based on the fundamental structure of the lipid bilayer, is increasingly used in a range of applications…”
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Prediction of O 2 /N 2 Selectivity in Metal-Organic Frameworks via High-Throughput Computational Screening and Machine Learning
Published in ACS applied materials & interfaces (12-01-2022)“…Machine learning (ML), which is becoming an increasingly popular tool in various scientific fields, also shows the potential to aid in the screening of…”
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14
Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR
Published in Molecular informatics (01-01-2017)“…Neural networks have generated valuable Quantitative Structure‐Activity/Property Relationships (QSAR/QSPR) models for a wide variety of small molecules and…”
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Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations
Published in Journal of chemical information and modeling (27-09-2021)“…Water is a unique solvent that is ubiquitous in biology and present in a variety of solutions, mixtures, and materials settings. It therefore forms the basis…”
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Modeling the Influence of Fatty Acid Incorporation on Mesophase Formation in Amphiphilic Therapeutic Delivery Systems
Published in Molecular pharmaceutics (07-03-2016)“…Dispersed amphiphile-fatty acid systems are of great interest in drug delivery and gene therapies because of their potential for triggered release of their…”
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Manipulating the Ordered Nanostructure of Self-Assembled Monoolein and Phytantriol Nanoparticles with Unsaturated Fatty Acids
Published in Langmuir (27-02-2018)“…Mesophase structures of self-assembled lyotropic liquid crystalline nanoparticles are important factors that directly influence their ability to encapsulate…”
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Janus particles: recent advances in the biomedical applications
Published in International journal of nanomedicine (01-08-2019)“…Janus particles, which are named after the two-faced Roman god Janus, have two distinct sides with different surface features, structures, and compositions…”
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An Experimental and Computational Approach to the Development of ZnO Nanoparticles that are Safe by Design
Published in Small (Weinheim an der Bergstrasse, Germany) (01-07-2016)“…Zinc oxide nanoparticles have found wide application due to their unique optoelectronic and photocatalytic characteristics. However, their safety aspects…”
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Rational Atom Substitution to Obtain Efficient, Lead‐Free Photocatalytic Perovskites Assisted by Machine Learning and DFT Calculations
Published in Angewandte Chemie International Edition (21-12-2023)“…Inorganic lead‐free halide perovskites, devoid of toxic or rare elements, have garnered considerable attention as photocatalysts for pollution control, CO2…”
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