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RESEARCH PAPER · Crystal Growth & Design · 2022

Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization

Noor Titan Putri Hartono, Mansoor Ani Najeeb, Zhi Li, Philip W. Nega, Clare A. Fleming, Xiaohe Sun, Emory M. Chan, Antonio Abate, Alexander J. Norquist, Joshua Schrier, Tonio Buonassisi

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13 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
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42 direct citing works

Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite CrystallizationOriginalMachine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects169Self-driving laboratories: A paradigm shift in nanomedicine development84Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science9The role of machine learning in perovskite solar cell research42In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science99Rediscovering the Particle-in-a-Box: Machine Learning Regression Analysis for Hypothesis Generation in Physical Chemistry Lab13The chemistry of the s- and p-block elements with 2,2′:6′,2′′-terpyridine ligands24Machine learning-assisted design of high-performance perovskite photodetectors: a review22Anubis: Bayesian optimization with unknown feasibility constraints for scientific experimentation24Atlas: a brain for self-driving laboratories51Advances in relaxation and memory effects of magnetic nanoparticles for biomedical applications17Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review9Joint optimization of molecular structures and process conditions using variational autoencoders and swarm-based metaheuristics0

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13 direct citing papers saved.

  1. Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects

    Advanced Functional Materials · 2023-02-15

    Yiming Liu, Xinyu Tan, Jie Liang, Hongwei Han, Peng Xiang, Wensheng Yan

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  2. Self-driving laboratories: A paradigm shift in nanomedicine development

    Matter · 2023-03-08

    Riley J. Hickman, Pauric Bannigan, Zeqing Bao, Alán Aspuru‐Guzik, Christine J. Allen

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  3. Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science

    ChemRxiv · 2023-05-17

    Riley J. Hickman, Priyansh Parakh, Austin Cheng, Qianxiang Ai, Joshua Schrier, Matteo Aldeghi, Alán Aspuru‐Guzik

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  4. The role of machine learning in perovskite solar cell research

    Journal of Alloys and Compounds · 2023-06-01

    Chen Chen, Ayman Maqsood, T. Jesper Jacobsson

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  5. In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science

    Journal of the American Chemical Society · 2023-09-27

    Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, Jakoah Brgoch

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  6. Rediscovering the Particle-in-a-Box: Machine Learning Regression Analysis for Hypothesis Generation in Physical Chemistry Lab

    Journal of Chemical Education · 2023-11-29

    Elizabeth S. Thrall, Fernando Martinez Lopez, Thomas Egg, Seung Eun Lee, Joshua Schrier, Yijun Zhao

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  7. The chemistry of the s- and p-block elements with 2,2′:6′,2′′-terpyridine ligands

    Inorganic Chemistry Frontiers · 2023-12-04

    Andreas Winter, George R. Newkome, Ulrich S. Schubert

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  8. Machine learning-assisted design of high-performance perovskite photodetectors: a review

    Advanced Composites and Hybrid Materials · 2024-12-06

    Xiaohui Fiona Li, Yongxiang Mai, Chunfeng Lan, Fu Yang, Putao Zhang, Shengjun Li

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  9. Anubis: Bayesian optimization with unknown feasibility constraints for scientific experimentation

    Digital Discovery · 2025-01-01

    Riley J. Hickman, Gary Tom, Yunheng Zou, Matteo Aldeghi, Alán Aspuru‐Guzik

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  10. Atlas: a brain for self-driving laboratories

    Digital Discovery · 2025-01-01

    Riley J. Hickman, Malcolm Sim, Sergio Pablo‐García, Gary Tom, Ivan Woolhouse, Han Hao, Zeqing Bao, Pauric Bannigan, Christine J. Allen, Matteo Aldeghi, Alán Aspuru‐Guzik

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  11. Advances in relaxation and memory effects of magnetic nanoparticles for biomedical applications

    Progress in Materials Science · 2025-06-04

    Pinki Singh, Pinki Singh, Nisha Shankhwar, Aditi Nachnani, Prashant Kumar Singh, Prashant Kumar Singh, Upendra Kumar, Satyendra Singh, Chandan Upadhyay

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  12. Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

    Advanced Intelligent Discovery · 2025-06-27

    Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph Josef Brabec

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  13. Joint optimization of molecular structures and process conditions using variational autoencoders and swarm-based metaheuristics

    Journal of the Taiwan Institute of Chemical Engineers · 2026-03-29

    Yi-An Lee, Cheng-You Yeh, Yi‐Pei Li

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