☆ 4.8 Article

Machine Learning-Directed Predictive Models: Deciphering Complex Energy Transfer in Mn-Doped CsPb(Cl1-y Br y )3 Perovskite Nanocrystals

CHEMISTRY OF MATERIALS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Chemistry, Physical

Predicting Indium Phosphide Quantum Dot Properties from Synthetic Procedures Using Machine Learning

Hao A. Nguyen et al.

Summary: This study utilizes machine learning to predict chemical reaction outcomes and provides an advanced tool for materials synthesis. By extracting and processing data related to InP quantum dot synthesis, predictive models are established and experimentally validated using a web application. The results demonstrate the ability to design materials with targeted properties and explore reaction mechanisms even with limited data resources.

CHEMISTRY OF MATERIALS (2022)

添加到收藏夹

Article Chemistry, Multidisciplinary

Photoemission of the Upconverted Hot Electrons in Mn-Doped CsPbBr3 Nanocrystals

Chih-Wei Wang et al.

Summary: This study identifies Mn-doped CsPbBr3 nanocrystals as an excellent platform for hot electron upconversion, benefiting from the structural diversity of metal halide perovskites. Two-dimensional Mn-doped CsPbBr3 nanoplatelets are particularly advantageous in the upconversion process due to the strong exciton-dopant interaction, and evidence for hot electron upconversion via long-lived dark excitons is observed.

NANO LETTERS (2022)

添加到收藏夹

Article Nanoscience & Nanotechnology

Exciton Recombination versus Energy Transfer: Mapping Competing Excited-State Dynamics in Various Mn-Doped CsPb(Cl1-yBry)3 Perovskite Nanocrystals for Achieving White Light Emission

Hyejin Choe et al.

Summary: This study investigates the dynamics of exciton recombination and energy transfer in Mn-doped CsPb(Cl1-yBry)3 nanocrystals, revealing the correlation between different Mn concentration regimes and halide compositions with excited-state behaviors.

ACS APPLIED NANO MATERIALS (2022)

添加到收藏夹

Article Chemistry, Multidisciplinary

Power-Dependent Photoluminescence Efficiency in Manganese-Doped 2D Hybrid Perovskite Nanoplatelets

Seung Kyun Ha et al.

Summary: Substitutional metal doping is a powerful strategy for manipulating the emission spectra and excited state dynamics of semiconductor nanomaterials. The synthesis of colloidal manganese (Mn2+)-doped organic-inorganic hybrid perovskite nanoplatelets via a ligand-assisted reprecipitation method introduces bright and long-lived midgap Mn2+ atomic states, with dual emission from the band edge and the dopant state. The interaction of mobile band edge excitons with localized dopant sites in 2D semiconductors is analyzed, providing fundamental insight and expanding the toolbox for manipulating light emission in perovskite nanomaterials.

ACS NANO (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

Photoinduced Halide Segregation in Ruddlesden-Popper 2D Mixed Halide Perovskite Films

Junsang Cho et al.

Summary: 2D lead halide perovskites with tunable bandgap and enhanced chemical stability are useful for designing optoelectronic devices. Reducing dimensionality can increase resistance to light-induced ion migration, but also decreases the efficiency of halide ion segregation and segregation rate constant, leading to a decrease in charge-carrier lifetime.

ADVANCED MATERIALS (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

Carbon-Dot-Based White-Light-Emitting Diodes with Adjustable Correlated Color Temperature Guided by Machine Learning

Xiao Wang et al.

Summary: In this study, carbon dots (CDs) with green and orange emissions were fabricated and used for LED fabrication. Machine learning was utilized to predict and control the correlated color temperature of the white light emission, resulting in warm white and cold white LEDs.

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2021)

添加到收藏夹

Article Chemistry, Physical

Energy vs Charge Transfer in Manganese-Doped Lead Halide Perovskites

Damiano Ricciarelli et al.

Summary: The study investigates the competition between energy and charge transfer in sensitizing dopant luminescence in Mn-doped lead halide perovskites through state-of-the-art DFT calculations. It reveals that the charge transfer mechanism is likely preferred in Mn:CsPbCl3, while bandgap resonance can explain energy transfer effectively. The host band edge energetics, tuned by the nature of the halide X, play a crucial role in mediating both aspects of dopant luminescence.

ACS ENERGY LETTERS (2021)

添加到收藏夹

Review Chemistry, Multidisciplinary

Machine Learning for Chemical Reactions

Markus Meuwly

Summary: Machine learning techniques have a long history in the field of chemical reactions, being able to address complex problems involving both computation and experiments. These techniques can develop models consistent with experimental knowledge, handle problems intractable to conventional approaches, and simulate reactive networks in combustion.

CHEMICAL REVIEWS (2021)

添加到收藏夹

Editorial Material Chemistry, Multidisciplinary

Best practices in machine learning for chemistry comment

Nongnuch Artrith et al.

Summary: In chemistry research, statistical tools based on machine learning are being integrated to train reliable, repeatable, and reproducible models. Guidelines for machine learning reports are recommended to ensure the quality of the models.

NATURE CHEMISTRY (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

Machine Learning Guided Design of Single-Phase Hybrid Lead Halide White Phosphors

Hailong Yuan et al.

Summary: Designing new single-phase white phosphors for solid-state lighting is a challenging trial-error process that requires navigation in a multidimensional space. With the guidance of machine learning models, a series of luminescent hybrid lead halides with ultra-high color rendering have been precisely designed.

ADVANCED SCIENCE (2021)

添加到收藏夹

Review Nanoscience & Nanotechnology

Nanoparticle synthesis assisted by machine learning

Huachen Tao et al.

Summary: This review discusses the use of machine learning in the synthesis of nanoparticles and the importance of data collection methods and nanoparticle properties for their applications.

NATURE REVIEWS MATERIALS (2021)

添加到收藏夹

Article Chemistry, Physical

First Synthesis of Mn-Doped Cesium Lead Bromide Perovskite Magic Sized Clusters at Room Temperature

Ke Xu et al.

JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2020)

添加到收藏夹

Article Nanoscience & Nanotechnology

Mechanism of Mn emission: Energy transfer vs charge transfer dynamics in Mn-doped quantum dots

K. R. Pradeep et al.

APL MATERIALS (2020)

添加到收藏夹

Article Chemistry, Physical

Study on the Mn-doped CsPbCl3 perovskite nanocrystals with controllable dual-color emission via energy transfer

Wenzhi Wang et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2020)

添加到收藏夹

Article Chemistry, Multidisciplinary

Intense Dark Exciton Emission from Strongly Quantum-Confined CsPbBr3 Nanocrystals

Daniel Rossi et al.

NANO LETTERS (2020)

添加到收藏夹

Article Chemistry, Physical

Machine Learning-Directed Navigation of Synthetic Design Space: A Statistical Learning Approach to Controlling the Synthesis of Perovskite Halide Nanoplatelets in the Quantum-Confined Regime

Erick J. Braham et al.

CHEMISTRY OF MATERIALS (2019)

添加到收藏夹

Article Chemistry, Multidisciplinary

Machine Learning Accelerates Discovery of Optimal Colloidal Quantum Dot Synthesis

Oleksandr Voznyy et al.

ACS NANO (2019)

添加到收藏夹

Editorial Material Chemistry, Physical

Virtual Issue on Machine-Learning Discoveries in Materials Science

Anton O. Oliynyk et al.

CHEMISTRY OF MATERIALS (2019)

添加到收藏夹

Article Nanoscience & Nanotechnology

Hot-electron dynamics in quantum dots manipulated by spin-exchange Auger interactions

Rohan Singh et al.

NATURE NANOTECHNOLOGY (2019)

添加到收藏夹

Article Chemistry, Multidisciplinary

Temperature- and Mn2+ Concentration-Dependent Emission Properties of Mn2+-Doped ZnSe Nanocrystals

Xiaoli Yang et al.

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2019)

添加到收藏夹

Article Chemistry, Physical

Trap-Mediated Two-Step Sensitization of Manganese Dopants in Perovskite Nanocrystals

Valerio Pinchetti et al.

ACS ENERGY LETTERS (2019)

添加到收藏夹

Article Chemistry, Physical

Doping Mn2+ in Single-Crystalline Layered Perovskite Microcrystals

Sumit Kumar Dutta et al.

ACS ENERGY LETTERS (2019)

添加到收藏夹

Review Chemistry, Multidisciplinary

Machine Learning in Computer-Aided Synthesis Planning

Connor W. Coley et al.

ACCOUNTS OF CHEMICAL RESEARCH (2018)

添加到收藏夹

Article Chemistry, Physical

Tuning Exciton-Mn2+ Energy Transfer in Mixed Halide Perovskite Nanocrystals

Kunyuan Xu et al.

CHEMISTRY OF MATERIALS (2018)

添加到收藏夹

Article Chemistry, Physical

Ligand-Directed Stabilization of Ternary Phases: Synthetic Control of Structural Dimensionality in Solution-Grown Cesium Lead Bromide Nanocrystals

Junsang Cho et al.

CHEMISTRY OF MATERIALS (2018)

添加到收藏夹

Review Multidisciplinary Sciences

Machine learning for molecular and materials science

Keith T. Butler et al.

NATURE (2018)

添加到收藏夹

Article Nanoscience & Nanotechnology

Ultrafast Spectral Dynamics of CsPb(BrxCl1-x)3 Mixed-Halide Nanocrystals

Naiya Soetan et al.

ACS PHOTONICS (2018)

添加到收藏夹

Review Materials Science, Ceramics

Controlling Quantum Confinement and Magnetic Doping of Cesium Lead Halide Perovskite Nanocrystals

Yitong Dong et al.

JOURNAL OF THE KOREAN CERAMIC SOCIETY (2018)

添加到收藏夹

Article Chemistry, Physical

Dynamics of Exciton-Mn Energy Transfer in Mn-Doped CsPbCl3 Perovskite Nanocrystals

Daniel Rossi et al.

JOURNAL OF PHYSICAL CHEMISTRY C (2017)

添加到收藏夹

Article Materials Science, Multidisciplinary

Optical properties of Mn2+ doped cesium lead halide perovskite nanocrystals via a cation-anion co-substitution exchange reaction

Fei Li et al.

JOURNAL OF MATERIALS CHEMISTRY C (2017)

添加到收藏夹

Article Chemistry, Physical

Colloidal Mn-Doped Cesium Lead Halide Perovskite Nanoplatelets

Wasim J. Mir et al.

ACS ENERGY LETTERS (2017)

添加到收藏夹

Article Chemistry, Physical

Doping Mn2+ in Lead Halide Perovskite Nanocrystals: Successes and Challenges

Amit K. Guria et al.

ACS ENERGY LETTERS (2017)

添加到收藏夹

Article Multidisciplinary Sciences

Luminescent manganese-doped CsPbCl3 perovskite quantum dots

Chun Che Lin et al.

SCIENTIFIC REPORTS (2017)

添加到收藏夹

Article Chemistry, Physical

Photoluminescence Temperature Dependence, Dynamics, and Quantum Efficiencies in Mn2+-Doped CsPbCI3 Perovskite Nanocrystals with Varied Dopant Concentration

Xi Yuan et al.

CHEMISTRY OF MATERIALS (2017)

添加到收藏夹

Article Chemistry, Multidisciplinary

Mn2+-Doped Lead Halide Perovskite Nanocrystals with Dual-Color Emission Controlled by Halide Content

Wenyong Liu et al.

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2016)

添加到收藏夹

Article Chemistry, Multidisciplinary

Photoemission of Energetic Hot Electrons Produced via Up Conversion in Doped Quantum Dots

Yitong Dong et al.

NANO LETTERS (2016)

添加到收藏夹

Article Chemistry, Multidisciplinary

Exciton-to-Dopant Energy Transfer in Mn-Doped Cesium Lead Halide Perovskite Nanocrystals

David Parobek et al.

NANO LETTERS (2016)

添加到收藏夹

Article Multidisciplinary Sciences

Machine learning bandgaps of double perovskites

G. Pilania et al.

SCIENTIFIC REPORTS (2016)

添加到收藏夹

Article Chemistry, Multidisciplinary

Hot Electrons Generated from Doped Quantum Dots via Upconversion of Excitons to Hot Charge Carriers for Enhanced Photocatalysis

Yitong Dong et al.

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2015)

添加到收藏夹

Article Chemistry, Multidisciplinary

Fast Anion-Exchange in Highly Luminescent Nanocrystals of Cesium Lead Halide Perovskites (CsPbX3, X = Cl, Br, I)

Georgian Nedelcu et al.

NANO LETTERS (2015)

添加到收藏夹

Article Chemistry, Multidisciplinary

Exciton storage by Mn2+ in colloidal Mn2+-doped CdSe quantum dots

Remi Beaulac et al.

NANO LETTERS (2008)

添加到收藏夹

Article Biotechnology & Applied Microbiology

What is a support vector machine?

William S. Noble

NATURE BIOTECHNOLOGY (2006)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Extremely randomized trees

P Geurts et al.

MACHINE LEARNING (2006)

添加到收藏夹

Article Statistics & Probability

Greedy function approximation: A gradient boosting machine

JH Friedman

ANNALS OF STATISTICS (2001)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.