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RESEARCH PAPER · Scientific Reports · 2020

Machine learning approach for elucidating and predicting the role of synthesis parameters on the shape and size of TiO2 nanoparticles

Francesco Pellegrino, Raluca Isopescu, Letizia Pellutiè, Fabrizio Sordello, Andrea Mario Rossi, Erik Ortel, Gianmario Martra, Vasile‐Dan Hodoroaba, Valter Maurino

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Machine learning approach for elucidating and predicting the role of synthesis parameters on the shape and size of TiO2 nanoparticlesOriginalControlled Periodic Illumination Enhances Hydrogen Production by over 50% on Pt/TiO229Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images41Customizing New Titanium Dioxide Nanoparticles with Controlled Particle Size and Shape Distribution: A Feasibility Study Toward Reference Materials for Quality Assurance of Nonspherical Nanoparticle Characterization12Machine learning assisted optimization of blending process of polyphenylene sulfide with elastomer using high speed twin screw extruder19Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis188Monomeric (VO2+) and dimeric mixed valence (V2O33+) vanadium species at the surface of shape controlled TiO2 anatase nano crystals16Quantitative three-dimensional characterization of critical sizes of non-spherical TiO2 nanoparticles by using atomic force microscopy5Merging data curation and machine learning to improve nanomedicines113AFM Measurements and Tip Characterization of Nanoparticles with Different Shapes72Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery552Engineered MoxC/TiO2 interfaces for efficient noble metal-free photocatalytic hydrogen production52Machine learning aided synthesis and screening of HER catalyst: Present developments and prospects41High-throughput synthesis of silver nanoplates and optimization of optical properties by machine learning12Biogenic Synthesis of Copper-Based Nanomaterials Using Plant Extracts and Their Applications: Current and Future Directions68The impact of domain-driven and data-driven feature selection on the inverse design of nanoparticle catalysts7In Situ Assembly of Well-Defined MoS2 Slabs on Shape-Tailored Anatase TiO2 Nanostructures: Heterojunctions Role in Phenol Photodegradation6The Application of Artificial Intelligence in Magnetic Hyperthermia Based Research23Strain Engineering of ZrO2@TiO2 Core@shell Nanoparticle Photocatalysts3Machine Learning Analysis of Reaction Parameters in UV-Mediated Synthesis of Gold Nanoparticles23Metrological Protocols for Reaching Reliable and SI-Traceable Size Results for Multi-Modal and Complexly Shaped Reference Nanoparticles8Silicon nanoparticles: Comprehensive review on biogenic synthesis and applications in agriculture96Artificial Intelligence and Evolutionary Approaches in Particle Technology15Machine learning assisted phase and size-controlled synthesis of iron oxide particles363D-printed microfluidic system for the in situ diagnostics and screening of nanoparticles synthesis parameters16Application of Machine Learning in Material Synthesis and Property Prediction166Using Data-Driven Learning to Predict and Control the Outcomes of Inorganic Materials Synthesis33A Computational Analysis of Drug-Expanse Predictions from Biomaterials Using Ensemble Model for Healthcare Applications0Machine learning in nanozymes: from design to application51Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.42Optimizing microwave-assisted synthesis of akermanite nanoparticles using citric acid as a chelating agent: A combined machine learning and experimental approach8Targeted materials discovery using Bayesian algorithm execution48Enhancing the electronic properties of TiO2 nanoparticles through carbon doping: An integrated DFTB and computer vision approach59Flexible ZnO nanowire platform by metal-seeded chemical bath deposition: Parametric analysis and predictive modeling12Review of Bio-Inspired Green Synthesis of Titanium Dioxide for Photocatalytic Applications12Intelligent Nanomaterial Image Characterizations – A Comprehensive Review on AI Techniques that Power the Present and Drive the Future of Nanoscience17Properties optimisation of nanostructures via machine learning: Progress and perspective3Perspective—Rising Era of Green Semiconductors at Nanoscale: Challenges and Prospects20Machine Learning-Driven Density Prediction for Nanomaterials6Bioengineered nanomaterials for dynamic diagnostics in vivo17From synthesis to properties: expanding the horizons of machine learning in nanomaterials research39From Anatase TiO2 Nano-Cuboids to Nano-Bipyramids: Influence of Particle Shape on the TiO2 Photocatalytic Degradation of Emerging Contaminants in Contrasted Water Matrices7Innovative approaches to safe and sustainable material synthesis: Optimizing Ti3C2 MXene properties via design of experiments and chemometric analysis9Machine learning predicts selectivity of green synthesized iron nanoparticles toward typical contaminants: critical factors in synthesis conditions, material properties, and reaction process16Application of Machine Learning in Nano Research — A Review2Application of machine learning models for predicting zinc oxide nanoparticle size5Synthesis of MgO Nanoparticles via the Sol–Gel Method: A DFT+U Analysis and Antibacterial Efficacy Comparison with Commercial Counterparts1AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics7Machine Learning for Controlling the Particle Size Distribution of TiO2 Nanoparticles in Optical Nanocomposites1The emerging role of machine learning in nanomaterials research: applications, challenges, and future directions8Machine learning applications in nanomaterial preparation for thermochemical processes0Range-aware Bayesian optimization for discovering diverse designs within target property windows0Engineering Design Strategies for Boosting Photocatalytic Activity: Theory-to-Data-Driven Perspective2Integrating Machine Learning and Life Cycle Assessment for Fehling-Inspired Sustainable Synthesis of Cu 2 O Nanowires and ML-Guided Design of Metal Oxide Nanorods1Carbon quantum dots from waste and biomass for water treatment: A review on nanomaterials AI-enhanced synthesis and characterization3Photothermal conversion efficiency of saline nanofluids: coupled effects of Fe3O4 nanoparticle mass fraction and salinity revealed by response surface and random forest modeling0From natural-extract variability to reproducible nanomaterials: AI-QbD strategies for green synthesis from agro-food waste0The TiO₂ antimicrobial roadmap: advancing synthesis paradigms, machine learning integration, and next-generation disinfection0Charge separation versus charge utilization in TiO2/rGO photocatalysts: opposite effects on phenol degradation and hydrogen evolution0

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  2. Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images

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  3. Customizing New Titanium Dioxide Nanoparticles with Controlled Particle Size and Shape Distribution: A Feasibility Study Toward Reference Materials for Quality Assurance of Nonspherical Nanoparticle Characterization

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  4. Machine learning assisted optimization of blending process of polyphenylene sulfide with elastomer using high speed twin screw extruder

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  7. Quantitative three-dimensional characterization of critical sizes of non-spherical TiO2 nanoparticles by using atomic force microscopy

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  10. Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery

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  16. In Situ Assembly of Well-Defined MoS2 Slabs on Shape-Tailored Anatase TiO2 Nanostructures: Heterojunctions Role in Phenol Photodegradation

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  17. The Application of Artificial Intelligence in Magnetic Hyperthermia Based Research

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  18. Strain Engineering of ZrO2@TiO2 Core@shell Nanoparticle Photocatalysts

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  19. Machine Learning Analysis of Reaction Parameters in UV-Mediated Synthesis of Gold Nanoparticles

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