Cover Image

A Framework to Pinpoint Bottlenecks in Emerging Solar Cells and Disordered Devices via Differential Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Williams, Cai, Wang, Chen, Ehm, Alexander, Zahn, Dietrich R. T., Saladina, Maria, Deibel, Carsten, Mackenzie, Roderick C. I.
Format:	Preprint
Published:	2025
Subjects:	Applied Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transport resistance strikes back: unveiling its impact on fill factor losses in organic solar cells
by: Saladina, Maria, et al.
Published: (2024)

The Physical Meaning of Time-Delayed Collection Field Transients from Disordered Devices
by: Hußner, Markus, et al.
Published: (2023)

Visualizing the Link Between Nanomorphology and Energetic Disorder in 3D Organic Solar Cells
by: Çiloğlu, Pelin, et al.
Published: (2025)

Photovoltaik: Organische Solarzellen und die Grenzen des Diodenmodells
by: Maria Saladina, et al.
Published: (2025)

Rethinking Charge Transport and Recombination in Donor-diluted Organic Solar Cells
by: Wang, Chen, et al.
Published: (2026)

Exciplex-driven blue OLEDs: unlocking multifunctionality applications
by: Weber, Dominik, et al.
Published: (2024)

Bridging the lab-to-fab gap in non-fullerene organic solar cells via gravure printing
by: Taranenko, Svitlana, et al.
Published: (2026)

Transport Resistance Dominates the Fill Factor Losses in Record Organic Solar Cells
by: Chen Wang, et al.
Published: (2025)

Unlocking Spin Dynamics: Spin-Orbit Coupling Driven Spin State Interconversion in Carbazole-Containing TADF Emitters
by: Morgenstern, Annika, et al.
Published: (2025)

Machine learning for ultra high throughput screening of organic solar cells: Solving the needle in the hay stack problem
by: Hußner, Markus, et al.
Published: (2023)

Beyond the Static Approximation: Assessing the Impact of Conformational and Kinetic Broadening on the Description of TADF Emitters
by: Beer, Daniel, et al.
Published: (2026)

Transport resistance dominates the fill factor losses in record organic solar cells
by: Wang, Chen, et al.
Published: (2024)

The contribution of electron and hole conductivity to the transport loss in organic solar cells
by: Wang, Chen, et al.
Published: (2025)

Machine Learning Co-pilot for Screening of Organic Molecular Additives for Perovskite Solar Cells
by: Pu, Yang, et al.
Published: (2024)

Disentangling the Effects of Simultaneous Environmental Variables on Perovskite Synthesis and Device Performance via Interpretable Machine Learning
by: Liu, Tianran, et al.
Published: (2025)

Revisiting the Theory of Photocurrent in Solar Cells
by: Matsuura, T., et al.
Published: (2025)

Emerging Machine Learning Strategies for Digital Processing and Additive Manufacturing of Advanced Ceramics
by: Sioney Teixeira Monteiro, et al.
Published: (2026)

Acceleration of Modelling with Physics Informed Learning: Frameworks and Perspectives for Real-Time Control of Electrochemical Devices
by: Teodorescu, Remus, et al.
Published: (2026)

Precise Control of Process Parameters for >23% Efficiency Perovskite Solar Cells in Ambient Air Using an Automated Device Acceleration Platform
by: Zhang, Jiyun, et al.
Published: (2024)

Analyzing the Impact of Design Factors on Solar Module Thermomechanical Durability Using Interpretable Machine Learning Techniques
by: Chen, Xin, et al.
Published: (2024)

Disordered Continuity: Programming Resolution-Independent Stochastic Metamaterials with Differentiable Anisotropic Property Distribution
by: Lin, Canhui, et al.
Published: (2025)

A Numerical Study on Enhancing Silicon Solar Cell Efficiency via the Integration of AgInSe2
by: Kevin Gurbani Beepat, et al.
Published: (2025)

Cavitated Ag Paste for Cost-Effective Solar Cell
by: Intal, Donald, et al.
Published: (2024)

Exploring the Theoretical Limits of Efficiency in Multilayer Solar Cells
by: Hwang, Jeonggyu
Published: (2024)

Characterizing Fill Factor Limitations in Perovskite-Silicon Tandem Solar Cells
by: Wang, Yueming, et al.
Published: (2026)

Exploring the relationship between growth in online shopping and multichannel food consumers
by: Mackenzie Gill, et al.
Published: (2025)

Machine Learning Assisted Revelation of the Best Performing Single Hetero-junction Thermophotovoltaic Cell
by: Abir, Ahnaf Tahmid, et al.
Published: (2024)

Electrical cell‐substrate impedance sensing (ECIS) in lung biology and disease
by: Lena Schaller, et al.
Published: (2024)

SolarDesign: An Online Photovoltaic Device Simulation and Design Platform
by: Sha, Wei E. I., et al.
Published: (2024)

Analysis of Performance Limits in Current-Matched Tandem Solar Cells
by: Yedida, Anupam, et al.
Published: (2024)

Theoretical Analysis of Doping Concentration Gradients on Solar Cell Performance
by: Hwang, Jeonggyu
Published: (2024)

Stable Perovskite Solar Cells via exfoliated graphite as an ion diffusion-blocking layer
by: Alharbi, Abdullah S., et al.
Published: (2024)

Unified Model for Probing Solar Cell Dynamics via Cyclic Voltammetry and Impedance Spectroscopy
by: Lopez-Richard, Victor, et al.
Published: (2024)

Monitoring of Fluid Transport in Low Temperature Water Electrolyzers and Fuel Cells: Emerging Technologies and Future Prospects
by: Dou, Zehua, et al.
Published: (2025)

Multiphoton fluorescence excitation with real intermediary states
by: Wong-Campos, J. David, et al.
Published: (2025)

All Inkjet-printed Organic Solar Cells on 3D Objects
by: Steinberger, Marc, et al.
Published: (2024)

A Planetary Cooling Hose
by: Hyde, Roderick A.
Published: (2025)

Monolithic Selenium/Silicon Tandem Solar Cells
by: Nielsen, Rasmus, et al.
Published: (2023)

Improving Machine Learning Workflows Using the “Normative‐Descriptive‐Prescriptive” Decision Framework
by: Naveen Gudigantala, et al.
Published: (2025)

Interdot Lead Halide Excess Management in PbS Quantum Dot Solar Cells
by: Albaladejo-Siguan, Miguel, et al.
Published: (2024)