BetaCitation Atlas

RESEARCH PAPER · Emergent Materials · 2024

Measurement of information content of Perovskite solar cell’s synthesis descriptors related to performance parameters

J. D. Vélez, Mónica Andrea Botero Londoño, Alexander Sepúlveda

Read original paper ↗

See where this research leads.

7 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

Measurement of information content of Perovskite solar cell’s synthesis descriptors related to performance parametersOriginalC3H7NH3PbI3@PVDF porous piezo-active film: a wearable potential bio-sensor3A group improvised PSO-random forest-based intelligent hybrid approach for advancing perovskite solar cell efficiency0Machine Learning for the Prediction of Perovskite Solar Cell Performance: A Brief Review3Named Entity Recognition for Performance and Synthesis Information of Perovskite Solar Cells Using SpaCy0Optimization of thin-film solar cells by using adaptive learning rate gradient descend algorithms1Density Estimation Based on Mixtures of Gaussians for Perovskite Solar Cells Modeling0Comparative benchmark of machine learning models for predicting perovskite solar cell performance0

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

7 direct citing papers saved.

  1. C3H7NH3PbI3@PVDF porous piezo-active film: a wearable potential bio-sensor

    Emergent Materials · 2024-12-02

    Payal Sengupta, Dipankar Sahoo, Ashik Ikbal, Ruma Ray

    Read original paper ↗ ·

  2. A group improvised PSO-random forest-based intelligent hybrid approach for advancing perovskite solar cell efficiency

    New Journal of Chemistry · 2025-01-01

    Pratik De Sarkar, Subhajit Kar, Debashis De, K. K. Ghosh

    Read original paper ↗ ·

  3. Machine Learning for the Prediction of Perovskite Solar Cell Performance: A Brief Review

    Green energy and technology · 2025-01-01

    Clara L Rojas Rincón, Yeraldin Vélez-Galvis, Mónica Andrea Botero Londoño, Erick Reyes-Vera, Alexander Sepúlveda

    Read original paper ↗ ·

  4. Named Entity Recognition for Performance and Synthesis Information of Perovskite Solar Cells Using SpaCy

    Lecture notes in computer science · 2025-01-01

    Mary Zuleika Jiménez-Díaz, Alexander Sepúlveda, Mónica Andrea Botero Londoño

    Read original paper ↗ ·

  5. Optimization of thin-film solar cells by using adaptive learning rate gradient descend algorithms

    MRS Advances · 2025-02-18

    Mary Zuleika Jiménez-Díaz, Mónica Andrea Botero Londoño, Alexander Sepúlveda

    Read original paper ↗ ·

  6. Density Estimation Based on Mixtures of Gaussians for Perovskite Solar Cells Modeling

    Journal of Chemical Information and Modeling · 2026-01-19

    Alexander Sepúlveda, Daniel Cerro-Ramos, T. Jesper Jacobsson

    Read original paper ↗ ·

  7. Comparative benchmark of machine learning models for predicting perovskite solar cell performance

    Solar Energy · 2026-08-07

    Yeraldin Vélez-Galvis, Esteban Gonzalez‐Valencia, Erick Reyes-Vera, Alexander Sepúlveda

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