BetaCitation Atlas

RESEARCH PAPER · Materials Today Chemistry · 2023

Machine learning–assisted colloidal synthesis: A review

Dayana Gulevich, Igor R. Nabiev, Pavel S. Samokhvalov

Read original paper ↗

See where this research leads.

39 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Machine learning–assisted colloidal synthesis: A reviewOriginalChemical perspectives on heteroanionic compounds: a potential playground for multiferroics7Advancing reliability and efficiency of urban communication: Unmanned aerial vehicles, intelligent reflection surfaces, and deep learning techniques7Advancements and challenges in plasmon-exciton quantum emitters based on colloidal quantum dots and perovskite nanocrystals11Machine Learning Approaches for Predicting Power Conversion Efficiency in Organic Solar Cells: A Comprehensive Review12Nanostructured Ni–Co catalysts: Effect of impregnation sequence and complexing agent1Recent advances on artificial intelligence-based approaches for food adulteration and fraud detection in the food industry: Challenges and opportunities49Perspective—Rising Era of Green Semiconductors at Nanoscale: Challenges and Prospects20Optimization and Interpretability Analysis of Machine Learning Methods for ZnO Colloid Particle Size Prediction4Size, Shape, and Composition Control of Metallic Colloidal Nanoparticles for the Design of Heterogeneous Catalysts10Enhancing energy materials with data-driven methods: A roadmap to long-term hydrogen energy sustainability using machine learning16Intelligent Systems for Inorganic Nanomaterial Synthesis38Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles15Machine Learning in nanoarchitectonics24Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis2Development of Air Quality Sensors0Statistical and artificial intelligence approaches towards the optimization of thermoelectric materials synthesis: a review7Transformative role of Pr3+ in ferrite nanomaterials: A review on magnetic tuning and structural optimization for advanced technologies3Reaching new frontiers in nanoelectronics through artificial intelligence4Utilizing a combined approach of machine learning and structure-based drug design principles to identify potential hits targeting SphK12Machine learning models for accurately predicting properties of CsPbCl3 Perovskite quantum dots100D Fluorescent Nanomaterials: Preparation, Properties, and its Antibacterial Applications0Infrared Photovoltaic–Battery Hybrid Systems Enabled by Colloidal Quantum Dots1Simplified hydrogen storage in nanocomposites optimized by artificial intelligence2The emerging role of machine learning in nanomaterials research: applications, challenges, and future directions8The role of building energy forecasting in campus sustainability: Tackling climate change with machine learning0Artificial intelligence-assisted biomaterials synthesis1Autonomous Nanoparticle Synthesis Guided by In Situ Multiscale Structural Characterization6Advancements in Nanotechnology: The Role of Machine Learning and AI in the Development of Ionic Liquids, Nanofluids, and Bionanofluids2Digital Twin-Assisted Machine Learning Optimization of Oyster Shell–Rice Husk Bio-Catalyst for Sustainable Biodiesel Production from Waste Cooking Oil: Kinetic, Thermodynamic and Techno-Economic Assessment in China0Organocatalytic Strategies for Sustainable CO2 Valorization and Carbon Circularity0Uncertainty-Aware Machine Learning for Small-Angle X-ray Scattering Analysis in Autonomous Experimentation3Data-driven prediction and optimization of electrospun nanofibrous scaffold diameters for tissue engineering applications using machine learning and genetic algorithms4Precision orientation of hydrogen evolution performance of iron-based electrocatalysts empowered by machine learning: From electronic structure regulation to rational construction0Beyond the Cube: Morphology Engineering of Prussian Blue Analogues1Laser powder bed fusion of Ti-6Al-4V titanium alloy: Processes, microstructures, and machine learning prediction0Future Trends, Challenges, and Opportunities in the Use of Surfactants for Corrosion Protection0Deciphering process-morphology relationships in magnesite-derived nesquehonite crystallization using interpretable machine learning0Silica Nanoparticles from Sustainable Sources: Fundamentals of Processing and Emerging Strategies1Machine learning-enabled multivariate optimization and model-inferred process associations in the co-precipitation synthesis of Y2O3 nanoparticles0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

39 direct citing papers saved.

  1. Chemical perspectives on heteroanionic compounds: a potential playground for multiferroics

    Materials Chemistry Frontiers · 2024-01-01

    Karishma Prasad, Vivian Nguyen, Bingheng Ji, Jasmine Quah, Danielle Goodwin, Jian Wang

    Read original paper ↗ ·

  2. Advancing reliability and efficiency of urban communication: Unmanned aerial vehicles, intelligent reflection surfaces, and deep learning techniques

    Heliyon · 2024-06-01

    Chongyang Li, Xiaohu Qiang

    Read original paper ↗ ·

  3. Advancements and challenges in plasmon-exciton quantum emitters based on colloidal quantum dots and perovskite nanocrystals

    Materials for Quantum Technology · 2024-08-05

    Adam Olejniczak, Юрий Петрович Ракович, Victor A. Krivenkov

    Read original paper ↗ ·

  4. Machine Learning Approaches for Predicting Power Conversion Efficiency in Organic Solar Cells: A Comprehensive Review

    Solar RRL · 2024-10-09

    Yang Jiang, Chuang Yao, Yezi Yang, Jinshan Wang

    Read original paper ↗ ·

  5. Nanostructured Ni–Co catalysts: Effect of impregnation sequence and complexing agent

    Materials Today Chemistry · 2024-10-15

    Leticia Romero-Castro, Agustín E. Galetti, Mario Sergio Moreno, Mariana Noelia Barroso

    Read original paper ↗ ·

  6. Recent advances on artificial intelligence-based approaches for food adulteration and fraud detection in the food industry: Challenges and opportunities

    Food Chemistry · 2024-12-10

    Puja Das, Ammar B. Altemimi, Pinku Chandra Nath, Mehak Katyal, Radha krishnan Kesavan, Sarvesh Rustagi, Jibanjyoti Panda, Satya Kumar Avula, Prakash Kumar Nayak, Yugal Kishore Mohanta

    Read original paper ↗ ·

  7. Perspective—Rising Era of Green Semiconductors at Nanoscale: Challenges and Prospects

    Journal of The Electrochemical Society · 2024-12-20

    Vishal Chaudhary

    Read original paper ↗ ·

  8. Optimization and Interpretability Analysis of Machine Learning Methods for ZnO Colloid Particle Size Prediction

    ACS Applied Nano Materials · 2025-02-03

    Lin Fan, Honglei Yu, Yan Gang He, Jinyuan Guo, Guangjun Min, Juan Wang

    Read original paper ↗ ·

  9. Size, Shape, and Composition Control of Metallic Colloidal Nanoparticles for the Design of Heterogeneous Catalysts

    ChemCatChem · 2025-02-04

    Esteban Gioria, Raoul Naumann d’Alnoncourt, Arne Thomas, Frank Rosowski

    Read original paper ↗ ·

  10. Enhancing energy materials with data-driven methods: A roadmap to long-term hydrogen energy sustainability using machine learning

    International Journal of Hydrogen Energy · 2025-03-21

    Cheng Li, Jianjun Ma, Des Gibson, Yijun Yan, Muhammad Shahzad Haroon, Mehak Bi Bi

    Read original paper ↗ ·

  11. Intelligent Systems for Inorganic Nanomaterial Synthesis

    Nanomaterials · 2025-04-21

    Cunhao Han, Xinghua Dong, Wang Zhang, Xiaoxia Huang, Linji Gong, Chunjian Su

    Read original paper ↗ ·

  12. Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles

    Advanced Science · 2025-04-26

    Cancan Li, Lindong Ma, Zhenjie Xue, Wei Li, Shan Zhu, Tie Wang

    Read original paper ↗ ·

  13. Machine Learning in nanoarchitectonics

    Advances in Colloid and Interface Science · 2025-05-13

    Bogdan V. Parakhonskiy, Junnan Song, André G. Skirtach

    Read original paper ↗ ·

  14. Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis

    Advanced Engineering Informatics · 2025-05-30

    Muhammad Munsif, Altaf Hussain, Zulfiqar Ahmad Khan, Min Je Kim, Sung Wook Baik

    Read original paper ↗ ·

  15. Development of Air Quality Sensors

    Royal Society of Chemistry eBooks · 2025-06-09

    Deuber Lincon da Silva Agostini, Lizandra Maria Zimmermann, María Fernanda Hernández Rodriguez, Jéssica Mantelato Bomfim Corrêa, Bruno Henrique de Santana Gois, Vitor Hugo Uzeloto Fernandes Mingroni, Pedro Leonardo Silva, Gabriel da Cruz Dias

    Read original paper ↗ ·

  16. Statistical and artificial intelligence approaches towards the optimization of thermoelectric materials synthesis: a review

    Energy Materials · 2025-06-13

    Wei‐Hsin Chen, K. Aishwarya, Kripasindhu Sardar

    Read original paper ↗ ·

  17. Transformative role of Pr3+ in ferrite nanomaterials: A review on magnetic tuning and structural optimization for advanced technologies

    Journal of Rare Earths · 2025-06-18

    Sonia Chalia, Manish Naagar, Fayu Wan, Preeti Thakur, Preeti Thakur, Atul Thakur

    Read original paper ↗ ·

  18. Reaching new frontiers in nanoelectronics through artificial intelligence

    Frontiers in Nanotechnology · 2025-06-25

    Santhosh Sivasubramani, Themis Prodromakis

    Read original paper ↗ ·

  19. Utilizing a combined approach of machine learning and structure-based drug design principles to identify potential hits targeting SphK1

    Computational Biology and Chemistry · 2025-08-21

    Gulam Rabbani, Mohammad Ehtisham Khan, M. Aslam, Waleed Zakri, Mohammad Fareed, Glowi A. Alasiri, Wahid Ali, Syed Kashif Ali, Mohd Imran, Abdulrahman Khamaj, Jintae Lee

    Read original paper ↗ ·

  20. Machine learning models for accurately predicting properties of CsPbCl3 Perovskite quantum dots

    Scientific Reports · 2025-08-22

    Mehmet Sıddık Çadırcı, Musa Çadırcı, Musa Çadırcı, Musa Çadırcı

    Read original paper ↗ ·

  21. 0D Fluorescent Nanomaterials: Preparation, Properties, and its Antibacterial Applications

    Advanced NanoBiomed Research · 2025-08-27

    Tianyi Lu, Jiang Xue Dong, Yanlei Li, Jingjing Wang, Ming Su, Yajie Fan, Shigang Shen, Zhong Feng Gao

    Read original paper ↗ ·

  22. Infrared Photovoltaic–Battery Hybrid Systems Enabled by Colloidal Quantum Dots

    Chemistry - An Asian Journal · 2025-10-01

    Hong Ji, Renjun Liu, Peter M. Smowton, Bo Hou

    Read original paper ↗ ·

  23. Simplified hydrogen storage in nanocomposites optimized by artificial intelligence

    Chemical Engineering Journal · 2025-10-09

    Behrouz Nemati, Mohammadreza Kamali, Sara Zandi, Tejraj Malleshappa Aminabhavi, Raf Dewil, Maria Elisabete V. Costa, Isabel Capela

    Read original paper ↗ ·

  24. The emerging role of machine learning in nanomaterials research: applications, challenges, and future directions

    Journal of Nanoparticle Research · 2025-10-25

    Juhi Jannat Mim, Saifuddun Rakib, Shahana Akter, Jannat Rosul Nisha, Safiullah Khan, Sayma Rahman, Mehedi Hasan Manik, Nayem Hossain

    Read original paper ↗ ·

  25. The role of building energy forecasting in campus sustainability: Tackling climate change with machine learning

    Energy · 2025-11-09

    Hui Zhang

    Read original paper ↗ ·

  26. Artificial intelligence-assisted biomaterials synthesis

    Elsevier eBooks · 2025-12-05

    Fateme Mansourinia, Maryam Sadat Adibhosseini, Mohsen Khodadadi Yazdi, Mohsen Tabibian

    Read original paper ↗ ·

  27. Autonomous Nanoparticle Synthesis Guided by In Situ Multiscale Structural Characterization

    Journal of the American Chemical Society · 2025-12-24

    Hyeong Jin Kim, Matthew R. Carbone, Fang Lu, Xiaohui Qu, Kristofer Reyes, Honghu Zhang, Lihua Zhang, Oleg Gang, Yugang Zhang

    Read original paper ↗ ·

  28. Advancements in Nanotechnology: The Role of Machine Learning and AI in the Development of Ionic Liquids, Nanofluids, and Bionanofluids

    Lecture notes in nanoscale science and technology · 2026-01-01

    Joseph Jisha, Jyoti Sahu, Jayesh Baldota, Vishnu Alias Vipul Parab, Tanishka Prakash Sharma, Srushti Walsinge

    Read original paper ↗ ·

  29. Digital Twin-Assisted Machine Learning Optimization of Oyster Shell–Rice Husk Bio-Catalyst for Sustainable Biodiesel Production from Waste Cooking Oil: Kinetic, Thermodynamic and Techno-Economic Assessment in China

    SSRN Electronic Journal · 2026-01-01

    Lu Xun

    Read original paper ↗ ·

  30. Organocatalytic Strategies for Sustainable CO2 Valorization and Carbon Circularity

    SSRN Electronic Journal · 2026-01-01

    Chunshan Song

    Read original paper ↗ ·

  31. Uncertainty-Aware Machine Learning for Small-Angle X-ray Scattering Analysis in Autonomous Experimentation

    Photon Science · 2026-02-20

    Chuntian Cao, Hyeong Jin Kim, Matthew R. Carbone, Kristofer Reyes, Shinjae Yoo, Fang Lu, Yugang Zhang

    Read original paper ↗ ·

  32. Data-driven prediction and optimization of electrospun nanofibrous scaffold diameters for tissue engineering applications using machine learning and genetic algorithms

    The International Journal of Advanced Manufacturing Technology · 2026-02-24

    Balakrishnan Subeshan, Eylem Asmatulu

    Read original paper ↗ ·

  33. Precision orientation of hydrogen evolution performance of iron-based electrocatalysts empowered by machine learning: From electronic structure regulation to rational construction

    Composites Science and Technology · 2026-05-07

    Yan Hu, Senlin Tian, Yingjie Li

    Read original paper ↗ ·

  34. Beyond the Cube: Morphology Engineering of Prussian Blue Analogues

    Advanced Functional Materials · 2026-05-09

    Chen Zhang, Zhenyang Meng, M Zhang, Fuchen Ye, Mohsen Shakouri, Jin Liang, Xinyu Qin, Huijie Zhou, Huan Pang

    Read original paper ↗ ·

  35. Laser powder bed fusion of Ti-6Al-4V titanium alloy: Processes, microstructures, and machine learning prediction

    Additive Manufacturing Frontiers · 2026-07-01

    Qi Tian, Jiaqing Wang, Zeyu Yang, Aodu Zheng, Guiwei Li, Wenzheng Wu

    Read original paper ↗ ·

  36. Future Trends, Challenges, and Opportunities in the Use of Surfactants for Corrosion Protection

    Royal Society of Chemistry eBooks · 2026-07-03

    Reena Rawat, Sangeeta Gupta, Sunita Sanwariya, Lakhvinder Kaur, Rakesh Yadav, Bhawana Jain

    Read original paper ↗ ·

  37. Deciphering process-morphology relationships in magnesite-derived nesquehonite crystallization using interpretable machine learning

    Particuology · 2026-08-13

    Fengling Weng, Yulian Wang, Jiayi Liu, Hanghuan Yu, Mufan Xiao, Hongbo Cheng, Yining Zhang, Ben Han

    Read original paper ↗ ·

  38. Silica Nanoparticles from Sustainable Sources: Fundamentals of Processing and Emerging Strategies

    Gels · 2026-08-24

    Awadh O. AlSuhaimi, Khaled M. AlMohaimadi

    Read original paper ↗ ·

  39. Machine learning-enabled multivariate optimization and model-inferred process associations in the co-precipitation synthesis of Y2O3 nanoparticles

    Journal of Colloid and Interface Science · 2026-09-25

    Han Meng, Juan Chen, Yifan Zhang, Yuqiao Su, Tao Ban, Jing Lin, Jinzhang Tao, Yefei Zhou, Hongyi Gao

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.