Results 181 to 190 of about 106,168 (326)

Key Advancements and Emerging Trends of Perovskite Solar Cells in 2024-2025. [PDF]

Nanomicro Lett
Shen X, Lin X, Su H, Zhang Z, Wu T, Zhang J, Peng Y, Zhang Y, Zhang S, Zhou Z, Meng X, Gao P, Chen W, Wu Y, Qin C, Han Q, Wang Y, Han L.   +17 more
europepmc   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Multiscale Characterization of Electrode-Induced Degradation in Perovskite Solar Cells. [PDF]

ACS Appl Energy Mater
Paul G, Schall JW, Guthrey HL, Migliozzi M, Tirawat R, Roberts DM, Johnston SW, Al-Jassim MM, Jiang CS, Palmstrom AF, Kern DB.   +10 more
europepmc   +1 more source

Subphthalocyanine-based electron-transport materials for perovskite solar cells

, 2021
Jorge Labella, Cristina Momblona, Nadja Klipfel, Hiroyuki Kanda, Sachin Kinge, Mohammad Khaja Nazeeruddin, Tomás Torres⊗   +6 more
openalex   +2 more sources

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Cove‐Edge Nanoribbon Materials for Efficient Inverted Halide Perovskite Solar Cells

, 2017
Edison Castro, Thomas J. Sisto, Elkin L. Romero, Fang Liu, Samuel R. Peurifoy, Jue Wang, Xiaoyang Zhu, Colin Nuckolls, Luís Echegoyen   +8 more
openalex   +2 more sources

Quantifying Evolving Defect Parameters in Metal Halide Perovskites via the Measurement and Modeling of Power‐Dependent Transient Photoluminescence

Advanced Energy Materials, EarlyView.
ABSTRACT Dynamic photoinduced defect states in metal halide perovskites (MHPs) critically govern the non‐equilibrium photophysics, metastability, and long‐term performance of optoelectronic devices, such as solar cells. This metastability is evident in steady‐state photoluminescence experiments, where the amplitudes increase or decrease depending on ...
Maxim Simmonds, Yanyan Duan, Manuel F. Vasquez‐Montoya, Rowan W. MacQueen, Vincent M. Le Corre, Eva Unger, Thomas Kirchartz   +6 more
wiley   +1 more source

Perovskite Solar Cells for Extreme Environments: Tailoring Material Design and Exploring New Opportunities. [PDF]

Nanomicro Lett
Kim W, Koo B, Ko MJ.
europepmc   +1 more source

Solar Cells: Nucleation and Crystallization Control via Polyurethane to Enhance the Bendability of Perovskite Solar Cells with Excellent Device Performance (Adv. Funct. Mater. 41/2017) [PDF]

, 2017
Zengqi Huang, Xiaotian Hu, Cong Liu, Licheng Tan, Yiwang Chen   +4 more
openalex   +1 more source

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source