标题
Machine learning for perovskite materials design and discovery
作者
关键词
-
出版物
npj Computational Materials
Volume 7, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-01-29
DOI
10.1038/s41524-021-00495-8
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Catalytic materials and chemistry development using a synergistic combination of machine learning and ab initio methods
- (2020) Nilesh Varadan Orupattur et al. COMPUTATIONAL MATERIALS SCIENCE
- Fast in-situ photodeposition of Ag and Cu nanoparticles onto AgTaO3 perovskite for an enhanced photocatalytic hydrogen generation
- (2020) Omar A. Carrasco-Jaim et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- PrCo1−xFexO3 perovskite powders for possible photocatalytic applications
- (2020) V. Sydorchuk et al. RESEARCH ON CHEMICAL INTERMEDIATES
- A Critical Review of Machine Learning of Energy Materials
- (2020) Chi Chen et al. Advanced Energy Materials
- The First Halide Double Perovskite Ferroelectric
- (2020) Weichuan Zhang et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Machine learning the magnetocaloric effect in manganites from lattice parameters
- (2020) Yun Zhang et al. APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING
- Machine Learning Accelerated Recovery of the Cubic Structure in Mixed-Cation Perovskite Thin Films
- (2020) Adnan Ali et al. CHEMISTRY OF MATERIALS
- Using machine learning and feature engineering to characterize limited material datasets of high-entropy alloys
- (2020) Dongbo Dai et al. COMPUTATIONAL MATERIALS SCIENCE
- Screening stable and metastable ABO3 perovskites using machine learning and the materials project
- (2020) Haiying Liu et al. COMPUTATIONAL MATERIALS SCIENCE
- Nano-BN encapsulated micro-AlN as fillers for epoxy composites with high thermal conductivity and sufficient dielectric breakdown strength
- (2020) Tong Yao et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- Effect of Yttrium Doping on Magnetic Properties and Magnetic Entropy Change of Bilayered Perovskite La1.3Sr1.7Mn2O7
- (2020) Fengze Cao et al. JOURNAL OF LOW TEMPERATURE PHYSICS
- Machine Learning for Predicting the Band Gaps of ABX3 Perovskites from Elemental Properties
- (2020) Vladislav Gladkikh et al. Journal of Physical Chemistry C
- Planar Vis-NIR photodetectors based on organic-inorganic hybrid perovskite single crystal bulks
- (2020) Juan Xin et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- An Adaptive Machine Learning Strategy for Accelerating Discovery of Perovskite Electrocatalysts
- (2020) Zheng Li et al. ACS Catalysis
- Facile deposition of high-quality Cs2AgBiBr6 films for efficient double perovskite solar cells
- (2020) Dandan Zhao et al. Science China-Materials
- Photocatalytic degradation characteristics of tetracycline and structural transformation on bismuth silver oxide perovskite nano-catalysts
- (2020) Jianmin Zhou et al. Applied Nanoscience
- Machine-learning structural and electronic properties of metal halide perovskites using a hierarchical convolutional neural network
- (2020) Wissam A. Saidi et al. npj Computational Materials
- Dielectric breakdown strength of alumina ceramics reinforced by fractal dendritic Ca9Al(PO4)7 as the second crystalline phase
- (2020) Wei Xu et al. JOURNAL OF ALLOYS AND COMPOUNDS
- A novel double-perovskite LiLaMgTeO6: Mn4+ far-red phosphor for indoor plant cultivation white LEDs: Crystal and electronic structure, and photoluminescence properties
- (2020) Li Li et al. JOURNAL OF ALLOYS AND COMPOUNDS
- Large magnetic entropy change and refrigeration capacity around room temperature in quinary Ni41Co9-xFexMn40Sn10 alloys (x= 2.0 and 2.5)
- (2020) F. Chen et al. JOURNAL OF ALLOYS AND COMPOUNDS
- Monte Carlo simulation study of electron yields from compound semiconductor materials
- (2020) A. Hussain et al. JOURNAL OF APPLIED PHYSICS
- Effect of pores on dielectric breakdown strength of alumina ceramics via surface and volume effects
- (2020) Tao Zhang et al. JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
- Simple descriptor derived from symbolic regression accelerating the discovery of new perovskite catalysts
- (2020) Baicheng Weng et al. Nature Communications
- Photoactive Zn‐Chlorophyll Hole Transporter‐Sensitized Lead‐Free Cs 2 AgBiBr 6 Perovskite Solar Cells
- (2020) Baoning Wang et al. Solar RRL
- An efficient and durable perovskite electrocatalyst for oxygen reduction in solid oxide fuel cells
- (2020) Lu Li et al. CHEMICAL ENGINEERING JOURNAL
- Electrochemical performance of Sn-doped Bi0.5Sr0.5FeO3- perovskite as cathode electrocatalyst for solid oxide fuel cells
- (2020) Wenwu Xia et al. JOURNAL OF ALLOYS AND COMPOUNDS
- Hydrogen halide-free synthesis of organohalides for organometal trihalide perovskite solar cells
- (2020) Gyeonguk Min et al. JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
- Structural, dielectric and magnetic properties of La0.55Sr0.45MnO3 polycrystalline perovskite
- (2020) M.A.A. Bally et al. JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
- Aqueous solvent-regulated crystallization and interfacial modification in perovskite solar cells with enhanced stability and performance
- (2020) Kejun Liao et al. JOURNAL OF POWER SOURCES
- Magnetic reversal in Fe substituted NdCrO3 perovskite nanoparticles
- (2020) Jada Shanker et al. MATERIALS CHEMISTRY AND PHYSICS
- Machine learning (ML)-assisted optimization doping of KI in MAPbI3 solar cells
- (2020) Sheng Jiang et al. RARE METALS
- Thermodynamic Stability Landscape of Halide Double Perovskites via High-Throughput Computing and Machine Learning
- (2019) Zhenzhu Li et al. ADVANCED FUNCTIONAL MATERIALS
- Regression model for stabilization energies associated with anion ordering in perovskite-type oxynitrides
- (2019) Masanori Kaneko et al. Journal of Energy Chemistry
- New tolerance factor to predict the stability of perovskite oxides and halides
- (2019) Christopher J. Bartel et al. Science Advances
- Electronic transport of organic-inorganic hybrid perovskites from first-principles and machine learning
- (2019) Limeng Li et al. APPLIED PHYSICS LETTERS
- Magneto-open-circuit voltage in organic-inorganic halide perovskite solar cells
- (2019) Xiao Zhang et al. APPLIED PHYSICS LETTERS
- 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
- (2019) Erick J. Braham et al. CHEMISTRY OF MATERIALS
- Correlation of dielectric dispersion with distributed Curie temperature in relaxor ferroelectrics
- (2019) Yong Chen et al. JOURNAL OF APPLIED PHYSICS
- Materials discovery and properties prediction in thermal transport via materials informatics: a mini-review
- (2019) Xiao Wan et al. NANO LETTERS
- Structure, magnetic and magnetocaloric properties of nano crystalline perovskite La0.8Ag0.2MnO3
- (2019) Abd El-Rahman T. AboZied et al. JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
- Learn and Match Molecular Cations for Perovskites
- (2019) Heesoo Park et al. JOURNAL OF PHYSICAL CHEMISTRY A
- Perovskite‐Based Phototransistors and Hybrid Photodetectors
- (2019) Chao Xie et al. ADVANCED FUNCTIONAL MATERIALS
- Enhanced magnetic entropy change and refrigeration capacity of La(Fe,Ni)11.5Si1.5 alloys through vacuum annealing treatment
- (2019) Guanyu Cao et al. JOURNAL OF ALLOYS AND COMPOUNDS
- Recent advances and applications of machine learning in solid-state materials science
- (2019) Jonathan Schmidt et al. npj Computational Materials
- Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design
- (2019) Teng Zhou et al. Engineering
- Machine-learning-assisted prediction of magnetic double perovskites
- (2019) Anita Halder et al. Physical Review Materials
- Lead-free double perovskite Cs2AgBiBr6/RGO composite for efficient visible light photocatalytic H2 evolution
- (2019) Tian Wang et al. APPLIED CATALYSIS B-ENVIRONMENTAL
- Temperature-Dependent Thermal Decomposition Pathway of Organic–Inorganic Halide Perovskite Materials
- (2019) Lin Ma et al. CHEMISTRY OF MATERIALS
- All‐Solution‐Processed Organic–Inorganic Hybrid Perovskite Light‐Emitting Diodes under Ambient Air
- (2019) Taejun Kim et al. PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE
- Predictions and Strategies Learned from Machine Learning to Develop High‐Performing Perovskite Solar Cells
- (2019) Jinxin Li et al. Advanced Energy Materials
- Machine learning–assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials
- (2019) Wenbo Sun et al. Science Advances
- La0.6Ca0.2Na0.2MnO3 Perovskite: Structural, Magnetic, Critical, and Magnetocaloric Properties
- (2019) Nesrine Mechi et al. Journal of Superconductivity and Novel Magnetism
- Enhancement in structural and optical properties of Cd doped hybrid organic-inorganic halide perovskite CH3NH3Pb1-xCdxI3 photo-absorber
- (2019) Khursheed Ahmad Parrey et al. MATERIALS CHEMISTRY AND PHYSICS
- Influence of iso-valent ‘Sm’ double substitution on the ionic conductivity of La0.9Sr0.1Al0.9Mg0.1O3-δ ceramic system
- (2019) Onkar Nath Verma et al. MATERIALS CHEMISTRY AND PHYSICS
- Semi-transparent organic-inorganic hybrid perovskite light-emitting diodes fabricated under high relative humidity
- (2019) Taejun Kim et al. SOLID-STATE ELECTRONICS
- Effects of pore size and porosity of surface-modified porous titanium implants on bone tissue ingrowth
- (2019) Jing-pu ZHENG et al. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
- Machine Learning for Catalysis Informatics: Recent Applications and Prospects
- (2019) Takashi Toyao et al. ACS Catalysis
- An internally photoemitted hot carrier solar cell based on organic-inorganic perovskite
- (2019) Gang Wang et al. Nano Energy
- Computational Screening of New Perovskite Materials Using Transfer Learning and Deep Learning
- (2019) Xiang Li et al. Applied Sciences-Basel
- Machine learning for heterogeneous catalyst design and discovery
- (2018) Bryan R. Goldsmith et al. AICHE JOURNAL
- Influence of small amounts of gallium oxide addition on ionic conductivity of La 0.9 Sr 0.1 Ga 0.8 Mg 0.2 O 3-δ solid electrolyte
- (2018) S.L. Reis et al. CERAMICS INTERNATIONAL
- Machine Learning and Energy Minimization Approaches for Crystal Structure Predictions: A Review and New Horizons
- (2018) Jake Graser et al. CHEMISTRY OF MATERIALS
- Predicting the thermodynamic stability of perovskite oxides using machine learning models
- (2018) Wei Li et al. COMPUTATIONAL MATERIALS SCIENCE
- Accelerated search for perovskite materials with higher Curie temperature based on the machine learning methods
- (2018) Xiuyun Zhai et al. COMPUTATIONAL MATERIALS SCIENCE
- Recent Advances in Halide-Based Perovskite Crystals and Their Optoelectronic Applications
- (2018) Ramavath Babu et al. CRYSTAL GROWTH & DESIGN
- Improved Curie temperature and temperature coefficient of resistance (TCR) in La 0.7 Ca 0.3-x Sr x MnO 3 :Ag 0.2 composites
- (2018) Fei Jin et al. JOURNAL OF ALLOYS AND COMPOUNDS
- Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
- (2018) Prasanna V. Balachandran et al. Nature Communications
- Emerging perovskite materials for high density data storage and artificial synapses
- (2018) Yan Wang et al. Journal of Materials Chemistry C
- Searching for Hidden Perovskite Materials for Photovoltaic Systems by Combining Data Science and First Principle Calculations
- (2018) Keisuke Takahashi et al. ACS Photonics
- Machine learning modeling of superconducting critical temperature
- (2018) Valentin Stanev et al. npj Computational Materials
- Predictions of new ABO3 perovskite compounds by combining machine learning and density functional theory
- (2018) Prasanna V. Balachandran et al. PHYSICAL REVIEW MATERIALS
- High ionic conductivity of Mg2+-doped non-stoichiometric sodium bismuth titanate
- (2018) Rahul Bhattacharyya et al. ACTA MATERIALIA
- Oxide perovskites, double perovskites and derivatives for electrocatalysis, photocatalysis, and photovoltaics
- (2018) Wan-Jian Yin et al. Energy & Environmental Science
- Lead-reduced Bi(Ni2/3 Ta1/3 )O3 -PbTiO3 perovskite ceramics with high Curie temperature and performance
- (2018) Dongfang Pang et al. JOURNAL OF THE AMERICAN CERAMIC SOCIETY
- Machine learning for molecular and materials science
- (2018) Keith T. Butler et al. NATURE
- Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning
- (2018) Shuaihua Lu et al. Nature Communications
- Using Data Mining To Search for Perovskite Materials with Higher Specific Surface Area
- (2018) Li Shi et al. Journal of Chemical Information and Modeling
- Rationalizing Perovskite Data for Machine Learning and Materials Design
- (2018) Qichen Xu et al. Journal of Physical Chemistry Letters
- Performance analysis of perovskite solar cells in 2013–2018 using machine-learning tools
- (2018) Çağla Odabaşı et al. Nano Energy
- Perovskite lead-free dielectrics for energy storage applications
- (2018) Letao Yang et al. PROGRESS IN MATERIALS SCIENCE
- Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach
- (2017) Al'ona Furmanchuk et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Designing High Dielectric Permittivity Material in Barium Titanate
- (2017) Jinghui Gao et al. Journal of Physical Chemistry C
- Thermodynamic Stability Trend of Cubic Perovskites
- (2017) Qingde Sun et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- Machine learning in materials informatics: recent applications and prospects
- (2017) Rampi Ramprasad et al. npj Computational Materials
- Perovskite Materials for Light-Emitting Diodes and Lasers
- (2016) Sjoerd A. Veldhuis et al. ADVANCED MATERIALS
- Machine Learning Assisted Predictions of Intrinsic Dielectric Breakdown Strength of ABX3 Perovskites
- (2016) Chiho Kim et al. Journal of Physical Chemistry C
- Machine-learning-assisted materials discovery using failed experiments
- (2016) Paul Raccuglia et al. NATURE
- On the application of the tolerance factor to inorganic and hybrid halide perovskites: a revised system
- (2016) W. Travis et al. Chemical Science
- Stability and electronic properties of new inorganic perovskites from high-throughput ab initio calculations
- (2016) Sabine Körbel et al. Journal of Materials Chemistry C
- Finding New Perovskite Halides via Machine Learning
- (2016) Ghanshyam Pilania et al. Frontiers in Materials
- Machine learning bandgaps of double perovskites
- (2016) G. Pilania et al. Scientific Reports
- Spinel compounds as multivalent battery cathodes: a systematic evaluation based on ab initio calculations
- (2015) Miao Liu et al. Energy & Environmental Science
- Machine learning for quantum mechanics in a nutshell
- (2015) Matthias Rupp INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
- Human-level concept learning through probabilistic program induction
- (2015) B. M. Lake et al. SCIENCE
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- High-throughput screening of perovskite alloys for piezoelectric performance and thermodynamic stability
- (2014) R. Armiento et al. PHYSICAL REVIEW B
- Synthesis, anion order and magnetic properties of RVO3−xNx perovskites (R = La, Pr, Nd; 0 ≤ x ≤ 1)
- (2014) Judith Oró-Solé et al. Journal of Materials Chemistry C
- Magnetism in Double Perovskites
- (2012) T. Saha-Dasgupta Journal of Superconductivity and Novel Magnetism
- A Precise Measurement of the Oxygen Isotope Effect on the Néel Temperature in Cuprates
- (2011) E. Amit et al. Advances in Condensed Matter Physics
- Magnetic Materials and Devices for the 21st Century: Stronger, Lighter, and More Energy Efficient
- (2010) Oliver Gutfleisch et al. ADVANCED MATERIALS
- Prediction of 3D small fatigue crack propagation in shot-peened specimens
- (2009) Jinxiang Liu et al. COMPUTATIONAL MATERIALS SCIENCE
- Organometal Halide Perovskites as Visible-Light Sensitizers for Photovoltaic Cells
- (2009) Akihiro Kojima et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
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