BetaCitation Atlas

RESEARCH PAPER · ACS Nano · 2024

Active Learning of Ligands That Enhance Perovskite Nanocrystal Luminescence

Min A Kim, Qianxiang Ai, Alexander J. Norquist, Joshua Schrier, Emory M. Chan

Read original paper ↗

See where this research leads.

18 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
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Active Learning of Ligands That Enhance Perovskite Nanocrystal LuminescenceOriginalWhen Metal Nanoclusters Meet Smart Synthesis31Exploration of highly stable and highly efficient new lead-free halide perovskite solar cells by machine learning19Accelerating the Discovery of Abiotic Vesicles with AI-Guided Automated Experimentation3Enhanced upconversion and photoconductive nanocomposites of lanthanide-doped nanoparticles functionalized with low-vibrational-energy inorganic ligands13Surface chemistry-engineered perovskite quantum dot photovoltaics96Unraveling the myths and mysteries of photon avalanching nanoparticles16Machine learning-driven material intelligence research and development14Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments10Machine Learning Unlocks New Directions in Halide Perovskite Research6Automated Nanocrystal Synthesis: Lessons from 25 Years of Robots, Microfluidics, and Machine Learning7Heavy Halide Nanomaterials as Next-Generation Hosts for Lanthanide Upconversion10A unified framework across materials, processing, and performance for perovskite quantum dot photovoltaics3From Discovery to Deliverables: Bridging the Machine Learning, Synthesis, and Characterization Gap in Nanoscale Materials1Leveling Up Upconverting Nanoparticles with Machine Learning4A Large-Scale Nanocrystal Database with Aligned Synthesis and Properties, Enabling Generative Inverse Design0Automated synthesis of InSb quantum dots with improved batch-to-batch reproducibility via kinetically matched co-reduction0Interfacial design principles in mixed-dimensional perovskite heterostructures: Bridging nanostructure chemistry and device functionality0Inverting Non-injective Functions with Twin Neural Network Regression1

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

18 direct citing papers saved.

  1. When Metal Nanoclusters Meet Smart Synthesis

    ACS Nano · 2024-09-24

    Zhucheng Yang, Anye Shi, Ruixuan Zhang, Zuowei Ji, Jiali Li, Jingkuan Lyu, Jing Qian, Tiankai Chen, Xiaonan Wang, Fengqi You, Jianping Xie

    Read original paper ↗ ·

  2. Exploration of highly stable and highly efficient new lead-free halide perovskite solar cells by machine learning

    Cell Reports Physical Science · 2024-12-01

    Chenyang Zhu, Yiming Liu, Donghua Wang, Zhikang Zhu, Peng Chao Zhou, Yibo Tu, Gaoyuan Yang, Hongyu Chen, Yue Zang, Jinxia Du, Wensheng Yan

    Read original paper ↗ ·

  3. Accelerating the Discovery of Abiotic Vesicles with AI-Guided Automated Experimentation

    Langmuir · 2024-12-30

    M. C. Ekosso, Hao Liu, Avery Glagovich, Dustin Nguyen, Sarah Maurer, Joshua Schrier

    Read original paper ↗ ·

  4. Enhanced upconversion and photoconductive nanocomposites of lanthanide-doped nanoparticles functionalized with low-vibrational-energy inorganic ligands

    Nanoscale Horizons · 2025-01-01

    Jia‐Ahn Pan, Xiao Qi, Emory M. Chan

    Read original paper ↗ ·

  5. Surface chemistry-engineered perovskite quantum dot photovoltaics

    Chemical Society Reviews · 2025-01-01

    Xuliang Zhang, Hehe Huang, Chenyu Zhao, Jianyu Yuan

    Read original paper ↗ ·

  6. Unraveling the myths and mysteries of photon avalanching nanoparticles

    Materials Horizons · 2025-01-01

    Artiom Skripka, Emory M. Chan

    Read original paper ↗ ·

  7. Machine learning-driven material intelligence research and development

    Nano Research · 2025-09-23

    Huijie Zhou, Jiming Xu, Xinyu Qin, Jing Zhang, Wenjiang Zou, Mohsen Shakouri, Jiang Xu, Lvzhou Li, Jianning Ding, Huan Pang

    Read original paper ↗ ·

  8. Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments

    ACS Nanoscience Au · 2025-10-14

    Ralph Bulanadi, Jawad Chowdhury, Hiroshi Funakubo, Maxim A Ziatdinov, Rama Krishnan Vasudevan, Arpan Biswas, Yongtao Liu

    Read original paper ↗ ·

  9. Machine Learning Unlocks New Directions in Halide Perovskite Research

    ChemElectroChem · 2025-12-10

    Hyejin Choe, Heesung Yoon, Inhyang Kim, Soo Young Kim

    Read original paper ↗ ·

  10. Automated Nanocrystal Synthesis: Lessons from 25 Years of Robots, Microfluidics, and Machine Learning

    Nano Letters · 2025-12-23

    Emory M. Chan

    Read original paper ↗ ·

  11. Heavy Halide Nanomaterials as Next-Generation Hosts for Lanthanide Upconversion

    Journal of the American Chemical Society · 2026-03-05

    Artiom Skripka

    Read original paper ↗ ·

  12. A unified framework across materials, processing, and performance for perovskite quantum dot photovoltaics

    Nano Energy · 2026-03-17

    Seon Joong Kim, Yunsang Kim, Jae Won Shim

    Read original paper ↗ ·

  13. From Discovery to Deliverables: Bridging the Machine Learning, Synthesis, and Characterization Gap in Nanoscale Materials

    Chemistry of Materials · 2026-05-01

    Ruyun Cai, Tianyi Gao, Fang Fang, Yang Liu

    Read original paper ↗ ·

  14. Leveling Up Upconverting Nanoparticles with Machine Learning

    Accounts of Chemical Research · 2026-05-26

    Ripeng Luo, Jungmin Hamm, Emory M. Chan

    Read original paper ↗ ·

  15. A Large-Scale Nanocrystal Database with Aligned Synthesis and Properties, Enabling Generative Inverse Design

    ACS Nano · 2026-06-08

    Kai Gu, Yingping Liang, Senliang Peng, Aotian Guo, Ying Fu, Haizheng Zhong

    Read original paper ↗ ·

  16. Automated synthesis of InSb quantum dots with improved batch-to-batch reproducibility via kinetically matched co-reduction

    Nature Communications · 2026-06-08

    Yangning Zhang, Hyeong Woo Ban, Pan Xia, Yang Bai, Sile Hu, Filip Dinic, Chang Liu, Yixi Li, Ehsan Nikbin, Shea Sanvordenker, Muhammad Imran, Benjamin Rehl, Lewei Zeng, Sjoerd Hoogland, Xiao Qi, Brian A. Korgel, Emory M. Chan, Edward Hartley Sargent

    Read original paper ↗ ·

  17. Interfacial design principles in mixed-dimensional perovskite heterostructures: Bridging nanostructure chemistry and device functionality

    Progress in Quantum Electronics · 2026-06-18

    Dohun Baek, Doyun Kim, Dongwook Lee, Yejin Whang, Suyeong Jo, Chaewon Lee, Yeongju Chun, Min Kim

    Read original paper ↗ ·

  18. Inverting Non-injective Functions with Twin Neural Network Regression

    Machine Learning · 2026-07-01

    Sebastian J. Wetzel

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.