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

  1. Predicting structure/property relationships in multi-dimensional nanoparticle data using t-distributed stochastic neighbour embedding and machine learning

    Nanoscale · 2019

    Amanda Susan Barnard, George Opletal

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  2. Ab Initio Simulations and Materials Chemistry in the Age of Big Data

    Journal of Chemical Information and Modeling · 2019

    Gabriel Ravanhani Schleder, A. C. M. Padilha, Alexandre Reily Rocha, Gustavo M. Dalpian, A. Fazzio

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  3. Feature Engineering of Solid‐State Crystalline Lattices for Machine Learning

    Advanced Theory and Simulations · 2019

    Timothy O. Cox, Benyamin Motevalli, George Opletal, Amanda Susan Barnard

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  4. Machine learning reveals multiple classes of diamond nanoparticles

    Nanoscale Horizons · 2020

    Amanda J. Parker, Amanda Susan Barnard

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  5. The Emerging Role of Nano-informatics in America

    SSRN Electronic Journal · 2020

    Rahul Reddy Nadikattu

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  6. Machine learning at the (sub)atomic scale: next generation scanning probe microscopy

    Machine Learning Science and Technology · 2020

    Oliver Gordon, Philip Moriarty

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  7. Shaping the Future of Solid‐State Electrolytes through Computational Modeling

    Advanced Materials · 2020

    Ardeshir Baktash, James C. Reid, Qinghong Yuan, Tanglaw Roman, Debra J. Searles

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  8. Understanding and Predicting the Cause of Defects in Graphene Oxide Nanostructures Using Machine Learning

    The Journal of Physical Chemistry C · 2020

    Benyamin Motevalli, Baichuan Sun, Amanda Susan Barnard

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  9. Nanomaterial Transformation in the Soil–Plant System: Implications for Food Safety and Application in Agriculture

    Small · 2020

    Peng Zhang, Zhiling Guo, Zhiyong Zhang, Hualing Fu, Jason Christopher White, Iseult Lynch

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  10. Accurate prediction of binding energies for two‐dimensional catalytic materials using machine learning

    ChemCatChem · 2020

    Julia Melisande Theresa Agatha Fischer, Michelle A. Hunter, Marlies Hankel, Debra J. Searles, Amanda J. Parker, Amanda Susan Barnard

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  11. Selecting machine learning models for metallic nanoparticles

    Nano Futures · 2020

    Amanda Susan Barnard, George Opletal

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  12. Role of Artificial Intelligence and Machine Learning in Nanosafety

    Small · 2020

    David Alan Winkler

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  13. Best Practice Leads to the Best Materials Informatics

    Matter · 2020

    Amanda Susan Barnard

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  14. Classification of platinum nanoparticle catalysts using machine learning

    Journal of Applied Physics · 2020

    Amanda J. Parker, George Opletal, Amanda Susan Barnard

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  15. Exchange Spin Coupling from Gaussian Process Regression

    The Journal of Physical Chemistry A · 2020

    Marc Philipp Bahlke, Natnael Mogos, Jonny Proppe, Carmen Herrmann

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  16. Effect of the Albumin Corona on the Toxicity of Combined Graphene Oxide and Cadmium to Daphnia magna and Integration of the Datasets into the NanoCommons Knowledge Base

    Nanomaterials · 2020

    Diego Stéfani T. Martinez, Gabriela Helena da Silva, Aline Maria Zigiotto de Medeiros, Latif Ullah Khan, Anastasios G. Papadiamantis, Iseult Lynch

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  17. Flow Synthesis of Metal Halide Perovskite Quantum Dots: From Rapid Parameter Space Mapping to AI-Guided Modular Manufacturing

    Matter · 2020

    Kameel Abdel‐Latif, Fazel Bateni, Steven H. Crouse, Milad Abolhasani

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  18. A review of the biomechanical properties of single extracellular vesicles

    Nano Select · 2020

    Michael D. LeClaire, James Kazimierz Gimzewski, Shivani Sharma

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  19. TÉCNICAS DE MINERAÇÃO DE TEXTO APLICADAS EM ANÁLISE DE PATENTES

    Anais ... Congresso Internacional do Conhecimento e Inovação · 2020

    Luciano Zamperetti Wolski, L Artese, Alexandre Gonçalves, Rafael Mattos

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  20. The pure and representative types of disordered platinum nanoparticles from machine learning

    Nanotechnology · 2020

    Amanda J. Parker, Benyamin Motevalli, George Opletal, Amanda Susan Barnard

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  21. Advanced Technologies in Health and Neurodegenerative Diseases

    Springer eBooks · 2021

    Nikolaos Naziris, Costas Demetzos

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  22. Charge-Dependent Fermi Level of Graphene Oxide Nanoflakes from Machine Learning

    Computational Materials Science · 2021

    Benyamin Motevalli, Bronwyn Louise Fox, Amanda Susan Barnard

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  23. Impact of atomistic or crystallographic descriptors for classification of gold nanoparticles

    Nanoscale · 2021

    Haonan Zhang, Amanda Susan Barnard

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  24. Unsupervised structure classes vs. supervised property classes of silicon quantum dots using neural networks

    Nanoscale Horizons · 2021

    Amanda J. Parker, Amanda Susan Barnard

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  25. Coloring Molecules with Explainable Artificial Intelligence for Preclinical Relevance Assessment

    Journal of Chemical Information and Modeling · 2021

    José Jiménez-Luna, Miha Škalič, Nils Weskamp, Gisbert Schneider

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  26. Fast derivation of Shapley based feature importances through feature extraction methods for nanoinformatics

    Machine Learning Science and Technology · 2021

    Tommy Liu, Amanda Susan Barnard

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  27. Enhancing classical gold nanoparticle simulations with electronic corrections and machine learning

    Journal of Physics Condensed Matter · 2021

    Ryan Stocks, Amanda Susan Barnard

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  28. The data-intensive scientific revolution occurring where two-dimensional materials meet machine learning

    Cell Reports Physical Science · 2021

    Hang Yin, Zhehao Sun, Zhuo Wang, Dawei Tang, Cheng Heng Pang, Xue‐Feng Yu, Amanda Susan Barnard, Haitao Zhao, Zongyou Yin

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  29. Interfacial informatics

    Journal of Physics Materials · 2021

    Julia Melisande Theresa Agatha Fischer, Amanda J Parker, Amanda Susan Barnard

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  30. Machine-Learned Decision Trees for Predicting Gold Nanorod Sizes from Spectra

    The Journal of Physical Chemistry C · 2021

    Katsuya Shiratori, Logan D. C. Bishop, Behnaz Ostovar, Rashad Baiyasi, Yiyu Cai, Peter J. Rossky, Christy F. Landes, Stephan Link

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  31. Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning

    Beilstein Journal of Nanotechnology · 2021

    Richard Marchese Robinson, Haralambos Sarimveis, Philip Doganis, Xiaodong Jia, Marianna I. Kotzabasaki, Christiana Gousiadou, Stacey L. Harper, Terry Wilkins

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  32. Inverse Design of Nanoparticles Using Multi‐Target Machine Learning

    Advanced Theory and Simulations · 2021

    Sichao Li, Amanda Susan Barnard

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  33. Nanomaterial transformation in root–soil interface: a function of root exudate or microbial activity?

    Elsevier eBooks · 2022

    Peng Zhang, Wanqin Dai, Chaonan Dong, Zhiyong Zhang

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  34. Optimization-Free Inverse Design of High-Dimensional Nanoparticle Electrocatalysts Using Multi-target Machine Learning

    Lecture notes in computer science · 2022

    Sichao Li, Jonathan Y. C. Ting, Amanda Susan Barnard

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  35. Daphnia magna and mixture toxicity with nanomaterials – Current status and perspectives in data-driven risk prediction

    Nano Today · 2022

    Diego Stéfani T. Martinez, Laura‐Jayne A. Ellis, Gabriela Helena da Silva, Romana Petry, Aline Maria Zigiotto de Medeiros, Hossein Hayat Davoudi, Anastasios G. Papadiamantis, A. Fazzio, Antreas Afantitis, Georgia Melagraki, Iseult Lynch

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  36. Predicting the Probability of Observation of Arbitrary Graphene Oxide Nanoflakes Using Artificial Neural Networks

    Advanced Theory and Simulations · 2022

    Benyamin Motevalli, Lachlan Hyde, Bronwyn Louise Fox, Amanda Susan Barnard

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  37. Text Mining for Energy Materials

    Journal of Research in Science and Engineering · 2022

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  38. Data-driven causal inference of process-structure relationships in nanocatalysis

    Current Opinion in Chemical Engineering · 2022

    Jonathan Y. C. Ting, Amanda Susan Barnard

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  39. Safety-by-design using forward and inverse multi-target machine learning

    Chemosphere · 2022

    Sichao Li, Amanda Susan Barnard

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  40. Where Is Nano Today and Where Is It Headed? A Review of Nanomedicine and the Dilemma of Nanotoxicology

    ACS Nano · 2022

    Cátia Domingues, Ana Cláudia Paiva‐Santos, Carmen Alvarez‐Lorenzo, Ángel Concheiro, Ivana Jarak, Francisco Veiga, I.R. Barbosa, Marı́lia Dourado, Ana Figueiras

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  41. Causal Paths Allowing Simultaneous Control of Multiple Nanoparticle Properties Using Multi‐Target Bayesian Inference

    Advanced Theory and Simulations · 2022

    Jonathan Y. C. Ting, Sichao Li, Amanda Susan Barnard

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  42. Threats to Terrestrial Plants from Emerging Nanoplastics

    ACS Nano · 2022

    Fei Dang, Qingyu Wang, Xiliang Yan, Yuanye Zhang, Jiachen Yan, Huan Zhong, Dongmei Zhou, Yongming Luo, Yong‐Guan Zhu, Baoshan Xing, Yujun Wang

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  43. Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools

    International Journal of Molecular Sciences · 2022

    Elena O. Kutumova, Ilya R. Akberdin, Ilya N. Kiselev, Ruslan Sharipov, Vera S. Egorova, Anastasiia O. Syrocheva, Alessandro Parodi, Andrey A. Zamyatnin, Fedor Kolpakov

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  44. The impact of domain-driven and data-driven feature selection on the inverse design of nanoparticle catalysts

    Journal of Computational Science · 2022

    Sichao Li, Jonathan Y. C. Ting, Amanda Susan Barnard

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  45. Using Machine Learning to make nanomaterials sustainable

    The Science of The Total Environment · 2022

    Janeck James Scott-Fordsmand, Mónica J.B. Amorim

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  46. Federated data processing and learning for collaboration in the physical sciences

    Machine Learning Science and Technology · 2022

    Wenjiang Huang, Amanda Susan Barnard

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  47. Prediction and Construction of Energetic Materials Based on Machine Learning Methods

    Molecules · 2022

    Xiaowei Zang, Xiang Zhou, Haitao Bian, Weiping Jin, Xuhai Pan, Juncheng Jiang, M. Yu. Koroleva, Ruiqi Shen

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  48. Advanced Technologies in Health and Neurodegenerative Diseases

    Springer eBooks · 2023

    Nikolaos Naziris, Costas Demetzos

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  49. An Investigation on the Impacts of Calcium Oxide Nanoparticles Enriched Feed in the Survival, Bioaccumulation and Physiological Phenomenon in Zebra Fish (Danio Rerio)

    SSRN Electronic Journal · 2023

    Madhubala Kumari, Aastha Tiwary, Biplab Sarkar, Koel Mukherjee

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  50. Data-Driven Design of Classes of Ruthenium Nanoparticles Using Multitarget Bayesian Inference

    Chemistry of Materials · 2023

    Jonathan Y. C. Ting, Amanda J. Parker, Amanda Susan Barnard

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