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Machine Learning and First-Principles Investigation of Lead-Free Wide-Bandgap Double Perovskites for Ultraviolet Optoelectronic Applications
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Recent promise of lead-free halide perovskites in optoelectronic applications
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The effect of solvent on the formation of low-dimensional metal halides and their self-trapped exciton emission
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A dual strategy to enhance the photoelectric performance of Perovskite-Based photodetectors for potential applications in optical communications
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Lead-free halide perovskite-based optoelectronic synapse for reservoir computing
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Bandgap prediction and design of halide double perovskites via ensemble machine learning
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Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
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Highly stable and self-powered ultraviolet photodetector based on Dion-Jacobson phase lead-free double perovskite
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Design of photovoltaic materials assisted by machine learning and the mechanical tunability under micro-strain
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Machine learning for high-throughput experimental exploration of metal halide perovskites
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Extrinsic electronic states to tune the luminescence and bonding nature of Cs2NaInCl6 double perovskite
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A data fusion approach to optimize compositional stability of halide perovskites
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Wide-bandgap all-inorganic lead-free perovskites for ultraviolet photodetectors
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First principles phonon calculations in materials science
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A machine learning workflow for large-scale discovery of direct bandgap double perovskites
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Efficient Multicolor and White Photoluminescence in Erbium- and Holmium-Incorporated Cs 2 NaInCl 6 :Sb 3+ Double Perovskites
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High-throughput Computational Study of Halide Double Perovskite Inorganic Compounds
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Highly Efficient Blue Emission from Self-Trapped Excitons in Stable Sb 3+ -Doped Cs 2 NaInCl 6 Double Perovskites
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A Highly Stable Photodetector Based on a Lead-Free Double Perovskite Operating at Different Temperatures
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Stability of the Halide Double Perovskite Cs 2 AgInBr 6
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Efficient and Accurate Prediction of Double Perovskite Quasiparticle Band Gaps via Machine Learning and a Descriptor
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Lead-Free Halide Double Perovskites via Heterovalent Substitution of Noble Metals
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Chemical Trends in the Thermodynamic Stability and Band Gaps of 980 Halide Double Perovskites: A High-Throughput First-Principles Study
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Ultrafast, Self-Powered, and Charge-Transport-Layer-Free Ultraviolet Photodetectors Based on Sequentially Vacuum-Evaporated Lead-Free Cs 2 AgBiBr 6 Thin Films
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Correction to “Inorganic Halide Double Perovskites with Optoelectronic Properties Modulated by Sublattice Mixing”
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A Bismuth-Halide Double Perovskite with Long Carrier Recombination Lifetime for Photovoltaic Applications
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Defect-Induced Band-Edge Reconstruction of a Bismuth-Halide Double Perovskite for Visible-Light Absorption
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Inorganic Halide Double Perovskites with Optoelectronic Properties Modulated by Sublattice Mixing
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Lead-free all-inorganic halide double perovskite materials for optoelectronic applications: progress, performance and design
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Recent developments of lead-free halide double perovskites: a new superstar in the optoelectronic field
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A high-throughput computational dataset of halide perovskite alloys
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Recent progress on solar blind deep ultraviolet photodetectors based on metal halide perovskites
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Influence of the exchange screening parameter on the performance of screened hybrid functionals
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Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
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Projector augmented-wave method
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Generalized Gradient Approximation Made Simple
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Greedy function approximation: A gradient boosting machine.
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Lead‐free metal‐halide double perovskites: from optoelectronic properties to applications
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