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RESEARCH PAPER · Digital Discovery · 2025

Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials

Federico Ottomano, John Yannis Goulermas, Vladimir V. Gusev, Rahul Savani, Michael W. Gaultois, Troy D. Manning, Hai Lin, Teresa Partida Manzanera, Emma Poole, Matthew Stephen Dyer, John B. Claridge, Jonathan Alaria, Luke M. Daniels, Su Varma, David Rimmer, Kevin D. Sanderson, Matthew J. Rosseinsky

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Open in your workspace →Saved 2026-10-12 · complete coverage
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Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materialsOriginalAI Driven Discovery and Design of Smart Materials0Machine Learning–Driven Prediction of Band Gap and Electrical Conductivity in Synthesizable Nanomaterials0An ML-driven web interface for classification and optical analysis of transparent conductive oxide materials0

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  1. AI Driven Discovery and Design of Smart Materials

    Journal of Mines Metals and Fuels · 2025-10-09

    Mahesh Ashok Bote, Naeem Shaikh, Shruti Pandit, A. C. Bhagali, Azhar Mulla

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  2. Machine Learning–Driven Prediction of Band Gap and Electrical Conductivity in Synthesizable Nanomaterials

    SSRN Electronic Journal · 2026-01-01

    Sandip K. Jagadale, Madhuri Pagale, Pratham Bokefode, Shamal Dighole, Lokesh Ajmera, Isha Thakur, Mansi Sopan Rathod, Sopan M. Rathod

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  3. An ML-driven web interface for classification and optical analysis of transparent conductive oxide materials

    Expert Systems with Applications · 2026-07-30

    Camellia Doroody, Norhazwani Md Yunos, Ong Ke Sheng, Hasrul Nisham Rosly, Manzoore Elahi M. Soudagar, Zheng-Jie Feng, Yasser Fouad

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