ReviewEnergy & environmental science2021
Accelerating organic solar cell material's discovery: high-throughput screening and
Review in Energy & environmental science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
29 citing papers in PubMed, 117 citations in OpenAlex.
- Strategy to Screen Donor and Acceptor Pairs for Organic Solar Cells Through Machine Learning.ChemPlusChem · 2026Article
- Machine Learning in Non-fullerene Organic Solar Cells: Accelerating Discovery, Design, and Understanding.ACS omega · 2026Review
- Pathways to commercially viable organic photovoltaic materials.Nature materials · 2026Review
- OMNI-P2x universal neural network potential for excited-state simulations.Nature communications · 2026Article
- Machine Learning Potentials for Inorganic and Hybrid Lead Halide Perovskites: From Phase Stability to Defects and Interfaces.ACS applied materials & interfaces · 2026Review
- Article
- Machine learning approaches for electrocatalyst design in water splitting: a review for green hydrogen production.Frontiers in chemistry · 2026Review
- Machine learning-driven prediction of organic solar cell performance: a data-centric approach to molecular design.Journal of molecular modeling · 2025Article
- Non-Invasive Composition Identification in Organic Solar Cells via Deep Learning.Nanomaterials (Basel, Switzerland) · 2025Article
- Advances in the Design and Discovery of Organic Semiconductors Aided by Machine Learning.Annual review of materials research · 2025Article
- Lyotropic Liquid Crystal Mediated Assembly of Donor Polymers Enhances Efficiency and Stability of Blade-Coated Organic Solar Cells.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Accurate Determination of the Uniaxial Complex Refractive Index and the Optical Band Gap of Polymer Thin Films to Correlate Their Absorption Strength and Onset of Absorption.Chemphyschem : a European journal of chemical physics and physical chemistry · 2024Article
- Harnessing Compositional Gradients to Elucidate Phase Behaviors toward High Performance Polymer Semiconductor Blends.ACS applied electronic materials · 2024Article
- Design and Synthesis of Red-Absorbing Fluoran Leuco Dyes Supported by Computational Screening.ACS omega · 2024Article
- An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations.Nature communications · 2024Article
- Exploration of Solution-Processed Bi/Sb Solar Cells by Automated Robotic Experiments Equipped with Microwave Conductivity.JACS Au · 2023Article
- Conjugated Polymer Process Ontology and Experimental Data Repository for Organic Field-Effect Transistors.Chemistry of materials : a publication of the American Chemical Society · 2023Article
- Hexanary blends: a strategy towards thermally stable organic photovoltaics.Nature communications · 2023Article
- Machine learning of atomic force microscopy images of organic solar cells.RSC advances · 2023Article
- Printable high-efficiency organic ionic photovoltaic materials discovered by high-throughput first-principle calculations.iScience · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The discovery of novel high-performing materials such as non-fullerene acceptors and low band gap donor polymers underlines the steady increase of record efficiencies in organic solar cells witnessed during the past years. Nowadays, the resulting catalogue of organic photovoltaic materials is becoming unaffordably vast to be evaluated following classical experimentation methodologies: their requirements in terms of human workforce time and resources are prohibitively high, which slows momentum to the evolution of the organic photovoltaic technology. As a result, high-throughput experimental and computational methodologies are fostered to leverage their inherently high exploratory paces and accelerate novel materials discovery. In this review, we present some of the computational (pre)screening approaches performed prior to experimentation to select the most promising molecular candidates from the available materials libraries or, alternatively, generate molecules beyond human intuition. Then, we outline the main high-throuhgput experimental screening and characterization approaches with application in organic solar cells, namely those based on lateral parametric gradients (measuring-intensive) and on automated device prototyping (fabrication-intensive). In both cases, experimental datasets are generated at unbeatable paces, which notably enhance
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.