Insights from Machine Learning Techniques for Predicting the Efficiency of Fullerene Derivatives‐Based Ternary Organic Solar Cells at Ternary Blend Design
出版年份 2019 全文链接
标题
Insights from Machine Learning Techniques for Predicting the Efficiency of Fullerene Derivatives‐Based Ternary Organic Solar Cells at Ternary Blend Design
作者
关键词
-
出版物
Advanced Energy Materials
Volume -, Issue -, Pages 1900891
出版商
Wiley
发表日期
2019-06-03
DOI
10.1002/aenm.201900891
参考文献
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。- Thermodynamic Stability Landscape of Halide Double Perovskites via High-Throughput Computing and Machine Learning
- (2019) Zhenzhu Li et al. ADVANCED FUNCTIONAL MATERIALS
- Machine Learning for Understanding Compatibility of Organic–Inorganic Hybrid Perovskites with Post-Treatment Amines
- (2019) Yongze Yu et al. ACS Energy Letters
- Identifying Pb-free perovskites for solar cells by machine learning
- (2019) Jino Im et al. npj Computational Materials
- Stability of Nonfullerene Organic Solar Cells: from Built‐in Potential and Interfacial Passivation Perspectives
- (2019) Yiwen Wang et al. Advanced Energy Materials
- How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics
- (2018) Bing Cao et al. ACS Nano
- Machine learning-based screening of complex molecules for polymer solar cells
- (2018) Peter Bjørn Jørgensen et al. JOURNAL OF CHEMICAL PHYSICS
- Computer-Aided Screening of Conjugated Polymers for Organic Solar Cell: Classification by Random Forest
- (2018) Shinji Nagasawa et al. Journal of Physical Chemistry Letters
- From Alloy-Like to Cascade Blended Structure: Designing High-Performance All-Small-Molecule Ternary Solar Cells
- (2018) Zhen Wang et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- Machine learning for predicting product distributions in catalytic regioselective reactions
- (2018) Sayan Banerjee et al. PHYSICAL CHEMISTRY CHEMICAL PHYSICS
- Organic and perovskite solar cells for space applications
- (2018) Ilaria Cardinaletti et al. SOLAR ENERGY MATERIALS AND SOLAR CELLS
- Toward Predicting Efficiency of Organic Solar Cells via Machine Learning and Improved Descriptors
- (2018) Harikrishna Sahu et al. Advanced Energy Materials
- The dye-sensitized solar cell database
- (2018) Vishwesh Venkatraman et al. Journal of Cheminformatics
- Design of efficient blue phosphorescent bottom emitting light emitting diodes by machine learning approach
- (2018) M.A. Janai et al. ORGANIC ELECTRONICS
- Machine-Learning-Based Cyclic Voltammetry Behavior Model for Supercapacitance of Co-Doped Ceria/rGO Nanocomposite
- (2018) Shaikh Parwaiz et al. Journal of Chemical Information and Modeling
- A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data Classification
- (2018) Yunchuan Kong et al. Scientific Reports
- Points of Significance: Ensemble methods: bagging and random forests
- (2017) Naomi Altman et al. NATURE METHODS
- High-performance ternary polymer solar cells from a structurally similar polymer alloy
- (2017) Wenfei Shen et al. Journal of Materials Chemistry A
- Tuning Voc for high performance organic ternary solar cells with non-fullerene acceptor alloys
- (2017) Yusheng Chen et al. Journal of Materials Chemistry A
- Influence of Surface Energy on Organic Alloy Formation in Ternary Blend Solar Cells Based on Two Donor Polymers
- (2016) Nemal S. Gobalasingham et al. ACS Applied Materials & Interfaces
- 10.8% Efficiency Polymer Solar Cells Based on PTB7-Th and PC71BM via Binary Solvent Additives Treatment
- (2016) Qun Wan et al. ADVANCED FUNCTIONAL MATERIALS
- 11% Efficient Ternary Organic Solar Cells with High Composition Tolerance via Integrated Near-IR Sensitization and Interface Engineering
- (2016) Li Nian et al. ADVANCED MATERIALS
- Ternary Polymer Solar Cells based on Two Acceptors and One Donor for Achieving 12.2% Efficiency
- (2016) Wenchao Zhao et al. ADVANCED MATERIALS
- Open circuit voltage and efficiency in ternary organic photovoltaic blends
- (2016) N. Felekidis et al. Energy & Environmental Science
- Wearable organic solar cells with high cyclic bending stability: Materials selection criteria
- (2016) Timothy F. O’Connor et al. SOLAR ENERGY MATERIALS AND SOLAR CELLS
- Efficient ternary organic photovoltaic cells with better trade-off photon harvesting and phase separation by doping DIB-SQ
- (2016) Jian Wang et al. Journal of Materials Chemistry C
- Highly efficient ternary polymer solar cells by optimizing photon harvesting and charge carrier transport
- (2016) Miao Zhang et al. Nano Energy
- High-performance alloy model-based ternary small molecule solar cells
- (2016) Qiaoshi An et al. Nano Energy
- Enhanced efficiency of polymer solar cells by adding a high-mobility conjugated polymer
- (2015) Shenghua Liu et al. Energy & Environmental Science
- Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach
- (2015) Raghunathan Ramakrishnan et al. Journal of Chemical Theory and Computation
- Conjugated Polymer–Small Molecule Alloy Leads to High Efficient Ternary Organic Solar Cells
- (2015) Jianqi Zhang et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- Efficient ternary polymer solar cells with a parallel-linkage structure
- (2015) Miao Zhang et al. Journal of Materials Chemistry C
- Coevaporated Bisquaraine Inverted Solar Cells: Enhancement Due to Energy Transfer and Open Circuit Voltage Control
- (2015) Tenghooi Goh et al. ACS Photonics
- Does Conjugation Help Exciton Dissociation? A Study on Poly(p-phenylene)s in Planar Heterojunctions with C60 or TNF
- (2012) Christian Schwarz et al. ADVANCED MATERIALS
- Python for Scientists and Engineers
- (2011) K. Jarrod Millman et al. COMPUTING IN SCIENCE & ENGINEERING
- Molecular and Morphological Influences on the Open Circuit Voltages of Organic Photovoltaic Devices
- (2009) M. Dolores Perez et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now