Research graph
References from Machine-Learning Prediction of Carrier Mobility and Polarity Type of Polymer Semiconductors: from High-Fidelity Data to Experimental Realization. Local targets link to admitted publications; unresolved targets remain external evidence.
Organic field-effect transistor-based flexible sensors
10.1039/c9cs00811j · 2020 · External reference
Polymer Semiconductors: Synthesis, Processing, and Applications
10.1021/acs.chemrev.2c00696 · 2023 · External reference
Flexible and Stretchable Light-Emitting Diodes and Photodetectors for Human-Centric Optoelectronics
10.1021/acs.chemrev.3c00548 · 2024 · External reference
Flexible Electronics Based on Organic Semiconductors: from Patterned Assembly to Integrated Applications
10.1002/smll.202206938 · 2023 · External reference
Computer-Aided Screening of Conjugated Polymers for Organic Solar Cell: Classification by Random Forest
10.1021/acs.jpclett.8b00635 · 2018 · External reference
Machine learning-assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials
10.1126/sciadv.aay4275 · 2019 · External reference
Experiment-Oriented Machine Learning of Polymer:Non-Fullerene Organic Solar Cells
10.1002/adfm.202011168 · 2021 · External reference
Improved Predictions of Organic Photovoltaic Performance through Machine Learning Models Empowered by Artificially Generated Failure Data
10.1021/acs.chemmater.2c01294 · 2022 · External reference
Recent Progress of Machine Learning on Organic Optoelectronic Materials
10.4208/cicc.2025.126.02 · 2025 · External reference
Data-driven machine learning models for quick prediction of thermal stability properties of OLED materials
10.1016/j.mtchem.2021.100625 · 2021 · External reference
Machine Learning for the Design of Novel OLED Materials
2022 · External reference
Machine Learning-Driven Precise Design of Stable OLED Materials: Predicting and Enhancing Multi-State C-N Bond Dissociation Energies
10.1016/j.cej.2024.157082 · 2024 · External reference
Advancing efficiency in deep-blue OLEDs: Exploring a machine learning-driven multiresonance TADF molecular design
10.1126/sciadv.adr1326 · 2025 · External reference
Multi-functional integration of organic field-effect transistors (OFETs): advances and perspectives
10.1002/adma.201201502 · 2013 · External reference
Recent progress in organic field-effect transistor-based integrated circuits
10.1002/pol.20210457 · 2022 · External reference
Organic field-effect transistor-based sensors: recent progress, challenges and future outlook
10.1039/d4tc04265d · 2025 · External reference
When flexible organic field-effect transistors meet biomimetics: a prospective view of the internet of things
10.1002/adma.201901493 · 2020 · External reference
The Solution is the Solution: Data-Driven Elucidation of Solution-to-Device Feature Transfer for pi-Conjugated Polymer Semiconductors
10.1021/acsami.1c20994 · 2022 · External reference
The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid
10.1021/jz200866s · 2011 · External reference
Conjugated Polymer Process Ontology and Experimental Data Repository for Organic Field-Effect Transistors
10.1021/acs.chemmater.3c01842 · 2023 · External reference
Large-Language-Model-Based AI Agent for Organic Semiconductor Device Research
10.1002/adma.202405163 · 2024 · External reference
A general relationship between disorder, aggregation and charge transport in conjugated polymers
10.1038/nmat3722 · 2013 · External reference
25th anniversary article: organic field-effect transistors: the path beyond amorphous silicon
10.1002/adma.201304346 · 2014 · External reference
Morphology control strategies for solution-processed organic semiconductor thin films
10.1039/c4ee00688g · 2014 · External reference
Recent Efforts in Understanding and Improving the Nonideal Behaviors of Organic Field-Effect Transistors
10.1002/advs.201900375 · 2019 · External reference
Machine Learning for Understanding the Relationship between the Charge Transport Mobility and Electronic Energy Levels for n-Type Organic Field-Effect Transistors
10.1002/aelm.201900573 · 2019 · External reference
Polymer-Unit Fingerprint (PUFp): An Accessible Expression of Polymer Organic Semiconductors for Machine Learning
10.1021/acsami.3c03298 · 2023 · External reference
Comparing data driven and physics inspired models for hopping transport in organic field effect transistors
10.1038/s41598-021-02737-7 · 2021 · External reference
Data Science Guided Experiments Identify Conjugated Polymer Solution Concentration as a Key Parameter in Device Performance
10.1021/acsmaterialslett.1c00320 · 2021 · External reference
Deep learning-driven intelligent prediction for tailoring electrical properties of N2200-based donor-acceptor conjugated copolymer OFETs
10.1007/s40843-025-3701-1 · 2025 · External reference
Liquid-crystalline semiconducting polymers with high charge-carrier mobility
10.1038/nmat1612 · 2006 · External reference
Controlling the Field-Effect Mobility of Regioregular Polythiophene by Changing the Molecular Weight
10.1002/adma.200305275 · 2003 · External reference
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
10.1063/1.4812323 · 2013 · External reference
Polymer genome: a data-powered polymer informatics platform for property predictions
10.1021/acs.jpcc.8b02913 · 2018 · External reference
XGBoost: A Scalable Tree Boosting System
10.1145/2939672.2939785 · 2016 · External reference
Why do tree-based models still outperform deep learning on typical tabular data?
10.52202/068431-0037 · 2022 · External reference
XGBoost-based intelligence yield prediction and reaction factors analysis of amination reaction
10.1002/jcc.26791 · 2022 · External reference
iDTi-CSsmoteB: identification of drug-target interaction based on drug chemical structure and protein sequence using XGBoost with over-sampling technique SMOTE
10.1109/access.2019.2910277 · 2019 · External reference
XGBoost: an optimal machine learning model with just structural features to discover MOF adsorbents of Xe/Kr
10.1021/acsomega.1c00100 · 2021 · External reference
A systematic analysis of performance measures for classification tasks
10.1016/j.ipm.2009.03.002 · 2009 · External reference
Gene selection for cancer classification using support vector machines
10.1023/a:1012487302797 · 2002 · External reference
Algorithms for hyper-parameter optimization
2011 · External reference
The meaning and use of the area under a receiver operating characteristic (ROC) curve
10.1148/radiology.143.1.7063747 · 1982 · External reference
The importance of being earnest: validation is the absolute essential for successful application and interpretation of QSPR models
10.1002/qsar.200390007 · 2003 · External reference
Greedy function approximation: a gradient boosting machine
10.1214/aos/1013203451 · 2001 · External reference
Critical role of side-chain attachment density on the order and device performance of polythiophenes
10.1021/ma0709001 · 2007 · External reference
Two-dimensional charge transport in self-organized, high-mobility conjugated polymers
10.1038/44359 · 1999 · External reference
Effect of molecular weight and annealing of poly (3-hexylthiophene)s on the performance of organic field-effect transistors
10.1002/adfm.200400017 · 2004 · External reference
A unified approach to interpreting model predictions
2017 · External reference
Organic semiconducting materials based on BDOPV: structures, properties, and applications
10.1002/cjoc.201900347 · 2020 · External reference
Diketopyrrolopyrrole (DPP)-based polymers and their organic field-effect transistor applications: a review
10.1007/s13233-022-0015-y · 2022 · External reference
Roles of flexible chains in organic semiconducting materials
10.1021/cm4018776 · 2014 · External reference
Side-Chain Length Matching Enhances Aggregation and Crystallization in Conjugated Polymers
10.1021/acsami.5c19377 · 2025 · External reference
Critical role of alkyl chain branching of organic semiconductors in enabling solution-processed n-channel organic thin-film transistors with mobility of up to 3.50 cm2 V-1 s-1
10.1021/ja311469y · 2013 · External reference
Effect of molecular weight and annealing of poly (3-hexylthiophene)s on the performance of organic field-effect transistors
10.1002/adfm.200400017 · ExternalCitation · doi-reference
Experiment-Oriented Machine Learning of Polymer:Non-Fullerene Organic Solar Cells
10.1002/adfm.202011168 · ExternalCitation · doi-reference
Controlling the Field-Effect Mobility of Regioregular Polythiophene by Changing the Molecular Weight
10.1002/adma.200305275 · ExternalCitation · doi-reference
Multi-functional integration of organic field-effect transistors (OFETs): advances and perspectives
10.1002/adma.201201502 · ExternalCitation · doi-reference
25th anniversary article: organic field-effect transistors: the path beyond amorphous silicon
10.1002/adma.201304346 · ExternalCitation · doi-reference
When flexible organic field-effect transistors meet biomimetics: a prospective view of the internet of things
10.1002/adma.201901493 · ExternalCitation · doi-reference
Large-Language-Model-Based AI Agent for Organic Semiconductor Device Research
10.1002/adma.202405163 · ExternalCitation · doi-reference
Recent Efforts in Understanding and Improving the Nonideal Behaviors of Organic Field-Effect Transistors
10.1002/advs.201900375 · ExternalCitation · doi-reference
Machine Learning for Understanding the Relationship between the Charge Transport Mobility and Electronic Energy Levels for n-Type Organic Field-Effect Transistors
10.1002/aelm.201900573 · ExternalCitation · doi-reference
Organic semiconducting materials based on BDOPV: structures, properties, and applications
10.1002/cjoc.201900347 · ExternalCitation · doi-reference
XGBoost-based intelligence yield prediction and reaction factors analysis of amination reaction
10.1002/jcc.26791 · ExternalCitation · doi-reference
Recent progress in organic field-effect transistor-based integrated circuits
10.1002/pol.20210457 · ExternalCitation · doi-reference
The importance of being earnest: validation is the absolute essential for successful application and interpretation of QSPR models
10.1002/qsar.200390007 · ExternalCitation · doi-reference
Flexible Electronics Based on Organic Semiconductors: from Patterned Assembly to Integrated Applications
10.1002/smll.202206938 · ExternalCitation · doi-reference
Diketopyrrolopyrrole (DPP)-based polymers and their organic field-effect transistor applications: a review
10.1007/s13233-022-0015-y · ExternalCitation · doi-reference
Deep learning-driven intelligent prediction for tailoring electrical properties of N2200-based donor-acceptor conjugated copolymer OFETs
10.1007/s40843-025-3701-1 · ExternalCitation · doi-reference
Machine Learning-Driven Precise Design of Stable OLED Materials: Predicting and Enhancing Multi-State C-N Bond Dissociation Energies
10.1016/j.cej.2024.157082 · ExternalCitation · doi-reference
A systematic analysis of performance measures for classification tasks
10.1016/j.ipm.2009.03.002 · ExternalCitation · doi-reference
Data-driven machine learning models for quick prediction of thermal stability properties of OLED materials
10.1016/j.mtchem.2021.100625 · ExternalCitation · doi-reference
Improved Predictions of Organic Photovoltaic Performance through Machine Learning Models Empowered by Artificially Generated Failure Data
10.1021/acs.chemmater.2c01294 · ExternalCitation · doi-reference
Conjugated Polymer Process Ontology and Experimental Data Repository for Organic Field-Effect Transistors
10.1021/acs.chemmater.3c01842 · ExternalCitation · doi-reference
Polymer Semiconductors: Synthesis, Processing, and Applications
10.1021/acs.chemrev.2c00696 · ExternalCitation · doi-reference
Flexible and Stretchable Light-Emitting Diodes and Photodetectors for Human-Centric Optoelectronics
10.1021/acs.chemrev.3c00548 · ExternalCitation · doi-reference
Polymer genome: a data-powered polymer informatics platform for property predictions
10.1021/acs.jpcc.8b02913 · ExternalCitation · doi-reference
Computer-Aided Screening of Conjugated Polymers for Organic Solar Cell: Classification by Random Forest
10.1021/acs.jpclett.8b00635 · ExternalCitation · doi-reference
The Solution is the Solution: Data-Driven Elucidation of Solution-to-Device Feature Transfer for pi-Conjugated Polymer Semiconductors
10.1021/acsami.1c20994 · ExternalCitation · doi-reference
Polymer-Unit Fingerprint (PUFp): An Accessible Expression of Polymer Organic Semiconductors for Machine Learning
10.1021/acsami.3c03298 · ExternalCitation · doi-reference
Side-Chain Length Matching Enhances Aggregation and Crystallization in Conjugated Polymers
10.1021/acsami.5c19377 · ExternalCitation · doi-reference
Data Science Guided Experiments Identify Conjugated Polymer Solution Concentration as a Key Parameter in Device Performance
10.1021/acsmaterialslett.1c00320 · ExternalCitation · doi-reference
XGBoost: an optimal machine learning model with just structural features to discover MOF adsorbents of Xe/Kr
10.1021/acsomega.1c00100 · ExternalCitation · doi-reference
Roles of flexible chains in organic semiconducting materials
10.1021/cm4018776 · ExternalCitation · doi-reference
Critical role of alkyl chain branching of organic semiconductors in enabling solution-processed n-channel organic thin-film transistors with mobility of up to 3.50 cm2 V-1 s-1
10.1021/ja311469y · ExternalCitation · doi-reference
The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid
10.1021/jz200866s · ExternalCitation · doi-reference
Critical role of side-chain attachment density on the order and device performance of polythiophenes
10.1021/ma0709001 · ExternalCitation · doi-reference
Gene selection for cancer classification using support vector machines
10.1023/a:1012487302797 · ExternalCitation · doi-reference
Two-dimensional charge transport in self-organized, high-mobility conjugated polymers
10.1038/44359 · ExternalCitation · doi-reference
Liquid-crystalline semiconducting polymers with high charge-carrier mobility
10.1038/nmat1612 · ExternalCitation · doi-reference
A general relationship between disorder, aggregation and charge transport in conjugated polymers
10.1038/nmat3722 · ExternalCitation · doi-reference
Comparing data driven and physics inspired models for hopping transport in organic field effect transistors
10.1038/s41598-021-02737-7 · ExternalCitation · doi-reference
Morphology control strategies for solution-processed organic semiconductor thin films
10.1039/c4ee00688g · ExternalCitation · doi-reference
Organic field-effect transistor-based flexible sensors
10.1039/c9cs00811j · ExternalCitation · doi-reference
Organic field-effect transistor-based sensors: recent progress, challenges and future outlook
10.1039/d4tc04265d · ExternalCitation · doi-reference
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
10.1063/1.4812323 · ExternalCitation · doi-reference
iDTi-CSsmoteB: identification of drug-target interaction based on drug chemical structure and protein sequence using XGBoost with over-sampling technique SMOTE
10.1109/access.2019.2910277 · ExternalCitation · doi-reference
Machine learning-assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials
10.1126/sciadv.aay4275 · ExternalCitation · doi-reference
Advancing efficiency in deep-blue OLEDs: Exploring a machine learning-driven multiresonance TADF molecular design
10.1126/sciadv.adr1326 · ExternalCitation · doi-reference
XGBoost: A Scalable Tree Boosting System
10.1145/2939672.2939785 · ExternalCitation · doi-reference
The meaning and use of the area under a receiver operating characteristic (ROC) curve
10.1148/radiology.143.1.7063747 · ExternalCitation · doi-reference
Greedy function approximation: a gradient boosting machine
10.1214/aos/1013203451 · ExternalCitation · doi-reference
Recent Progress of Machine Learning on Organic Optoelectronic Materials
10.4208/cicc.2025.126.02 · ExternalCitation · doi-reference
Why do tree-based models still outperform deep learning on typical tabular data?
10.52202/068431-0037 · ExternalCitation · doi-reference
