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RESEARCH PAPER · ACS Applied Electronic Materials · 2025

Transforming Computational Nanotechnology: Accelerating Material Discovery, Design, and Property Prediction through Soft Computing Techniques

Hirendra Das, Mridusmita Sharma

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

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42 direct citing works

Transforming Computational Nanotechnology: Accelerating Material Discovery, Design, and Property Prediction through Soft Computing TechniquesOriginalPredicting the Optical Properties of Gold Nanoclusters Using Machine Learning Approach2Quantum-Dot Mobility Prediction Algorithm for Flexible Nanoelectronic Fabrication in Wearable Electronics0Machine learning-driven advances in nanotechnology: From materials design to process optimization – A review18AI and Machine Learning: Revolutionizing Nanomaterial Research Through Synthesis, Characterization, and Applications0Artificial intelligence and machine learning for plasmonic and surface-enhanced sensing37Green synthesis of bimetallic Cu–Ni nanoparticles using Nigella sativa seed extracts: morphological characterization, anticancer potential, biomolecular binding, and photocatalytic dye degradation5Smart Nanoelectronics: Integrating AI and ML in Materials Design and Nanoscale Device Optimisation0Smart sampling for optimized materials: A Gaussian process framework for region-of-interest active learning1Carbon dots for fluorescence bioimaging: Advances in synthesis, optical properties, and multimodal applications14Material Discovery, Renewable Energy, and the Scope of Shallow Learning and Deep Learning1Artificial Intelligence-Driven Materials Design for Next-Generation Sustainable Energy Technologies15Modulating conducting inks for robust piezoelectric nanogenerators: A critical review of elastomeric composites3Artificial Intelligence-Driven Development and Characterization of Nanomedicine182D materials in optoelectronics: Recent progress, machine learning insights, and future perspective32D bismuth nanostructures for emerging sensors: Recent developments and machine learning perspectives0Perspective of Materials Characterisation and Performance Evaluation of Advanced Nanomaterials for Bioenergy Systems: A Systematic Review0Artificial Intelligence‐Driven Nanomaterials: Pioneering Innovations in Energy Conversion and Storage2Porosity-Engineered 2D Aerogels for Electrochemical Energy Storage: From Design Principles to Machine-Learning-Assisted Optimization1Towards advancing cancer nanomedicine: Recent strategies for overcoming translational and toxicological challenges2Explainable AI-Driven Fault Prediction in Nanoscale VLSI Circuits Using Hybrid Graph Neural Networks0Artificial intelligence-assisted design and optimization of radiation shielding materials for medical applications0Green synthesis and functionalization of gold nanoparticles: Implications for anticancer therapy and biomedical applications0Interpretable Small-Sample Deep Learning with Approximate Attribution Enhancement for Atomically Precise Gold Nanoclusters Synthesis0Advances in carbon material synthesis for energy storage and sustainable development: an ESG aligned perspective0

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  1. Predicting the Optical Properties of Gold Nanoclusters Using Machine Learning Approach

    ACS Omega · 2025-10-17

    Geraldine Sánchez-Dueñez, Wladimiro Dı́az-Villanueva, Jorge Escorihuela, Laura Francés‐Soriano, Julia Pérez‐Prieto

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  2. Quantum-Dot Mobility Prediction Algorithm for Flexible Nanoelectronic Fabrication in Wearable Electronics

    International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) · 2025-12-04

    Shailendra Shah, Mohammad Idrish Ali

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  3. Machine learning-driven advances in nanotechnology: From materials design to process optimization – A review

    Materials Today Communications · 2025-12-20

    Juhi Jannat Mim, Abdullah Al Mamun, Mahtab Hossain Nayem, Suzon Mahmud, Antu Nath, Sayma Rahman, Shekh Asraful Fidal, Nayem Hossain

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

    Springer proceedings in physics · 2026-01-01

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

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  5. Artificial intelligence and machine learning for plasmonic and surface-enhanced sensing

    Chemical Society Reviews · 2026-01-01

    Ailsa Geddis, Hannah Williams, Saba Bashir, Jason Malenfant, Caroline Dubois, Louis Hamlet, Jean‐François Masson

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  6. Green synthesis of bimetallic Cu–Ni nanoparticles using Nigella sativa seed extracts: morphological characterization, anticancer potential, biomolecular binding, and photocatalytic dye degradation

    New Journal of Chemistry · 2026-01-01

    Subramani Santhiya, Paulraj Adwin Jose, Murugesan Sankarganesh, Ganesan Jeevan, Shunmugasundaram Gurusamy, Senthil Kumar Raju

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  7. Smart Nanoelectronics: Integrating AI and ML in Materials Design and Nanoscale Device Optimisation

    Micro & Nano Letters · 2026-01-01

    Yashu Swami

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  8. Smart sampling for optimized materials: A Gaussian process framework for region-of-interest active learning

    Materials Today Communications · 2026-01-21

    L. Carreira, Alain Estève, Matthieu Jonckheere, Carole Rossi

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  9. Carbon dots for fluorescence bioimaging: Advances in synthesis, optical properties, and multimodal applications

    Results in Chemistry · 2026-01-24

    Abdullah Khamis Ali Al Saidi, Mazhar Ul‐Islam, Md. Wasi Ahmad, Refat Al‐Shannaq, Adeeb Shehzad

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  10. Material Discovery, Renewable Energy, and the Scope of Shallow Learning and Deep Learning

    Advances in computational intelligence and robotics book series · 2026-02-19

    Himadri Sekhar Das, Heranmoy Maity, Sudipta Banerjee, Maitrayee Chakrabarty, Gourisankar Roymahapatra, Banibrata Bag

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  11. Artificial Intelligence-Driven Materials Design for Next-Generation Sustainable Energy Technologies

    ACS Sustainable Chemistry & Engineering · 2026-03-05

    Samar M. Fawzy, Mohammed K. M. Ali, Nageh K. Allam

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  12. Modulating conducting inks for robust piezoelectric nanogenerators: A critical review of elastomeric composites

    Advances in Colloid and Interface Science · 2026-03-11

    Vineet Kumar, Nargish Parvin, Sang Woo Joo, Tapas Kumar Mandal, Sang‐Shin Park

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  13. Artificial Intelligence-Driven Development and Characterization of Nanomedicine

    BioNanoScience · 2026-03-17

    Nnamdi Ikemefuna Okafor, Nkeiruka N. Igbokwe, Hope Onohuean, Mbuso A. Faya, Yahya Essop Choonara

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  14. 2D materials in optoelectronics: Recent progress, machine learning insights, and future perspective

    Current Applied Physics · 2026-04-16

    Krishanku Upamanyu, Mridusmita Sharma, Hirendra Das, Pradip Kumar Kalita

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  15. 2D bismuth nanostructures for emerging sensors: Recent developments and machine learning perspectives

    Current Applied Physics · 2026-04-30

    Rose Rani Soren, Mridusmita Sharma, Hirendra Das, Hidam Kumarjit Singh

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  16. Perspective of Materials Characterisation and Performance Evaluation of Advanced Nanomaterials for Bioenergy Systems: A Systematic Review

    Unknown journal · 2026-05-12

    Mariam I. Adeoba, Harry Ngwangwa, Tracy Madimabi Masebe, Thanyani Pandelani

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  17. Artificial Intelligence‐Driven Nanomaterials: Pioneering Innovations in Energy Conversion and Storage

    Expert Systems · 2026-05-25

    Alberto Boretti

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  18. Porosity-Engineered 2D Aerogels for Electrochemical Energy Storage: From Design Principles to Machine-Learning-Assisted Optimization

    ACS Applied Energy Materials · 2026-06-01

    Priyanka Chetia, Mridusmita Sharma, Hirendra Das, Pranjal Saikia

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  19. Towards advancing cancer nanomedicine: Recent strategies for overcoming translational and toxicological challenges

    Biomaterials Advances · 2026-06-01

    Muhammad Sohail, Weiqian Chen, Ayesha Younas, Sajid Iqbal, Baozhu Yang, Fengkai Qiu, Gaofeng Shu, Minjiang Chen, Jianfei Tu, Hong Yuan, Jiansong Ji

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  20. Explainable AI-Driven Fault Prediction in Nanoscale VLSI Circuits Using Hybrid Graph Neural Networks

    Unknown journal · 2026-07-01

    Vanmala, Vishnu Lakkamraju, Pradeep Kachakayala, Prajakta Zade, Arshdeep Kaur, Tiyas Sarkar

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  21. Artificial intelligence-assisted design and optimization of radiation shielding materials for medical applications

    Journal of Radiation Research and Applied Sciences · 2026-08-07

    Ruth Kanyana, Living Ounyesiga, Afam Uzorka

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  22. Green synthesis and functionalization of gold nanoparticles: Implications for anticancer therapy and biomedical applications

    Inorganic Chemistry Communications · 2026-08-10

    Subramani Santhiya, Murugesan Sankarganesh

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  23. Interpretable Small-Sample Deep Learning with Approximate Attribution Enhancement for Atomically Precise Gold Nanoclusters Synthesis

    Molecules · 2026-08-12

    Ziyue You, Yitong Qin, Yubing Gao, Zhengzhi Mu, Fu Liu, Shuzhi Sam Ge

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  24. Advances in carbon material synthesis for energy storage and sustainable development: an ESG aligned perspective

    Next Materials · 2026-09-16

    Jijnasha Bal, Kavan Kumar V, Sachin Channappa Hallad, N.L. Panwar, Lokesh Gupta

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