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Papers citing Nanoinformatics, and the big challenges for the science of small things

  1. Machine Learning for Molecular Recognition at the Nanoscale

    Venue not supplied by source · 2023

    Oliver Gordon

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  2. Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation

    Chemical Reviews · 2023

    Xiliang Yan, Tongtao Yue, David Alan Winkler, Yongguang Yin, Hao Zhu, Guibin Jiang, Bing Yan

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  3. Importance of Structural Features and the Influence of Individual Structures of Graphene Oxide Using Shapley Value Analysis

    Chemistry of Materials · 2023

    Amanda Susan Barnard, Bronwyn Louise Fox

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  4. Application of Artificial Intelligence in the Exploration and Optimization of Biomedical Nanomaterials

    Nano Biomedicine and Engineering · 2023

    Xiaoyang Zhu, Yan Li, Ning Gu

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  5. The emergent role of explainable artificial intelligence in the materials sciences

    Cell Reports Physical Science · 2023

    Tommy Liu, Amanda Susan Barnard

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  6. Structure-Free Mendeleev Encodings of Material Compounds for Machine Learning

    Chemistry of Materials · 2023

    Zixin Zhuang, Amanda Susan Barnard

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  7. Superior Prediction of Graphene Nanoflake Properties withUnbiased Graph Embedding

    ChemRxiv · 2023

    Nathan Hu, Amanda J. Parker

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  8. Simultaneous Prediction and Optimization of Charge Transfer Properties of Graphene and Graphene Oxide Nanoflakes from Multitarget Machine Learning

    The Journal of Physical Chemistry C · 2023

    Zixin Zhuang, Bronwyn Louise Fox, Amanda Susan Barnard

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  9. Scanning probe microscopy in the age of machine learning

    APL Machine Learning · 2023

    Md Ashiqur Rahman Laskar, Umberto Celano

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  10. Insights into Nanodiamond from Machine Learning

    Topics in applied physics · 2024

    Amanda Susan Barnard

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  11. Understanding the importance of individual samples and their effects on materials data using explainable artificial intelligence

    Digital Discovery · 2024

    Tommy Liu, Zhi Yang Tho, Amanda Susan Barnard

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  12. Unsupervised learning and pattern recognition in alloy design

    Digital Discovery · 2024

    Ninad Bhat, N. Birbilis, Amanda Susan Barnard

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  13. Untitled work

    Open Access Biostatistics & Bioinformatics · 2024

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  14. Advancing electron microscopy using deep learning

    Journal of Physics Materials · 2024

    Kuan-Neng Chen, Amanda Susan Barnard

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  15. Online meta-learned gradient norms for active learning in science and technology

    Machine Learning Science and Technology · 2024

    Haiqi Dong, Amanda Susan Barnard, Amanda J. Parker

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  16. Classification of battery compounds using structure-free Mendeleev encodings

    Journal of Cheminformatics · 2024

    Zixin Zhuang, Amanda Susan Barnard

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  17. How scanning probe microscopy can be supported by artificial intelligence and quantum computing?

    Microscopy Research and Technique · 2024

    Agnieszka Pręgowska, Agata Roszkiewicz, Magdalena E Osial, Michael Giersig

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  18. New Health Technologies and Regulatory Approaches

    Venue not supplied by source · 2024

    Costas Demetzos

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  19. Predicting battery applications for complex materials based on chemical composition and machine learning

    Computational Materials Science · 2024

    Zixin Zhuang, Amanda Susan Barnard

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  20. Comprehensive insights into mechanism of nanotoxicity, assessment methods and regulatory challenges of nanomedicines

    Discover Nano · 2024

    Ujwal A. Havelikar, Kabirdas B. Ghorpade, Amit Kumar, Akhilesh Patel, Manisha Singh, Nagma Banjare, Prem Narayan Gupta

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  21. Intelligent Nanomaterial Image Characterizations – A Comprehensive Review on AI Techniques that Power the Present and Drive the Future of Nanoscience

    Advanced Theory and Simulations · 2024

    Umapathi Krishnamoorthy, Sukanya Balasubramani

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  22. Diverse explanations from data-driven and domain-driven perspectives in the physical sciences

    Machine Learning Science and Technology · 2024

    Sichao Li, Xin Wang, Amanda Susan Barnard

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  23. Properties optimisation of nanostructures via machine learning: Progress and perspective

    Engineering Analysis with Boundary Elements · 2024

    Nurul Akmal Che Lah

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  24. Recent advances in biomedical applications of smart nanomaterials: a comprehensive review

    RSC Pharmaceutics · 2025

    Manoj Kumar Goshisht, Ashu Goshisht, Animesh Bajpai, Abhishek Bajpai

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  25. Artificial Intelligence Enabled Biomineralization for Eco‐Friendly Nanomaterial Synthesis: Charting Future Trends

    Nano Select · 2025

    Vaisali Chandrasekar, Anu Jayanthi Panicker, Ajay Vikram Singh, Jolly Bhadra, Kishor Kumar Sadasivuni, Omar M. Aboumarzouk, Abdulla Al Ansari, Sarada Prasad Dakua

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  26. How nanoinformatics could pave the way to safer design of engineered nanomaterials?

    Frontiers in Nanotechnology · 2025

    Sarmistha Saha

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  27. Large extracellular vesicles subsets and contents discrimination: the potential of morpho mechanical approaches at single vesicle level

    bioRxiv (Cold Spring Harbor Laboratory) · 2025

    Geetika Raizada, Benjamin Brunel, Benoît Bragantini, Joan Guillouzouic, Eric Le Ferrec, Wilfrid Boireau, Éric Lesniewska, Céline Élie-Caille

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  28. Understanding interpretable patterns of Shapley behaviours in materials data

    Machine Learning Engineering · 2025

    Tommy Liu, Amanda Susan Barnard

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  29. What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

    Advanced Intelligent Discovery · 2025

    Jonathan Y. C. Ting, Amanda Susan Barnard

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  30. Nanoinformatics: A Potential Tool for Precision Targeting in Pediatric Cancer

    BioNanoScience · 2025

    Muhammad Irfan, Urooj Fatima, Aqsa Sajjad, Muhammad Naveed

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  31. Machine learning prediction and efficient screening method for thermally induced fluorescence enhancement of Er 3+ doped materials

    Optics Express · 2025

    Qiang Bao, Jianning He, Zhixuan Li, Yanyan Bu, Xiangfu Wang

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  32. Impact of nanoparticle morphologies on property prediction using explainable AI

    Nanoscale Horizons · 2025

    Tommy Liu, Amanda Susan Barnard

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  33. Leveraging AI Innovation in Nanomaterials, Synthesis, Characterization, and Device Design

    Advances in computational intelligence and robotics book series · 2025

    Ashok Vaseashta, Gor Gevorgyan, Surik Khudaverdyan, Gagik Y. Ayvazyan, Mane Khachatryan, C. Berlic, Adriana Elena Balan, Ioan Stamatin

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  34. Gradient-based optimization of complex nanoparticle heterostructures enabled by deep learning on heterogeneous graphs

    Nature Computational Science · 2025

    Eric Sivonxay, Lucas Attia, Evan Walter Clark Spotte‐Smith, Benjamín Sánchez-Lengeling, Xiaojing Xia, Daniel Barter, Emory M. Chan, Samuel M. Blau

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  35. A review on algorithmic approaches for nano material design and optimization in advanced engineering applications

    AIP conference proceedings · 2026

    Siva Vijayakumar, Kathiresan Yogunath, Suresh Seetharaman, Movva Naga Swapna Sri, Manjunathan Karthick, Anshika Raina

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  36. AI and Machine Learning: Revolutionizing Nanomaterial Research Through Synthesis, Characterization, and Applications

    Springer proceedings in physics · 2026

    Priyavrat, Ekta Thakur, Gargee Jain, Anup Kumar Pandey, Navneet Kumar, Jamilur R. Ansari, Kunal

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  37. Artificial intelligence-driven nanomaterial design and applications: advances, challenges, and future directions

    New Journal of Chemistry · 2026

    Yakubu Adekunle Alli, Lukman Shehu Mustapha, Francis Mekunye, Olaoluwa John Adeleke, Terfa Jude Igba, Nelson Oshogwue Etafo, Victor D. Aderibigbe, Sreedeep Dey, Haulison Kojo Yayoh, Kehinde Shola Obayomi, Malama Chisanga

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  38. Computational Predictive Models for Nanomedicines

    Reference series in phytochemistry · 2026

    Anjana Sharma, Neha Sharma

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  39. Machine learning applications in nanomaterial preparation for thermochemical processes

    Elsevier eBooks · 2026

    Lanrewaju Ibrahim Fajimi, Bilainu Obozokhai Oboirien

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  40. J³SPM AI: An integrated open-source platform for AI-assisted image analysis and image-guided workflows in scanning probe microscopy

    Micron · 2026

    SangHeon Lee

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  41. Artificial intelligence in nanotechnology: current applications and future perspectives

    Health Nanotechnology · 2026

    Ali Majedi

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