BetaCitation Atlas

RESEARCH PAPER · npj Computational Materials · 2019

Machine learning enables polymer cloud-point engineering via inverse design

Jatin Kumar, Qianxiao Li, Karen Yuanting Tang, Tonio Buonassisi, Anibal L. Gonzalez-Oyarce, Jun Ye

Read original paper ↗

See where this research leads.

108 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Machine learning enables polymer cloud-point engineering via inverse designOriginalChallenges and opportunities of polymer design with machine learning and high throughput experimentation71Embedding Physics Domain Knowledge into a Bayesian Network Enables Layer-by-Layer Process Innovation for Photovoltaics4Toward Accelerated Thermoelectric Materials and Process Discovery102Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics46Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based Approach1Big-Data Science in Porous Materials: Materials Genomics and Machine Learning599Machine Learning for Polymer Swelling in Liquids34How machine learning can help select capping layers to suppress perovskite degradation188Potentials and challenges of polymer informatics: exploiting machine learning for polymer design17Bias Free Multiobjective Active Learning for Materials Design and Discovery12Machine Learning and High-Throughput Robust Design of P3HT-CNT Composite Thin Films for High Electrical Conductivity4A Recommender System for Inverse Design of Polycarbonates and Polyesters28Progress and Roadmap for Intelligent Self‐Healing Materials in Autonomous Robotics187Data-driven algorithms for inverse design of polymers100Machine learning glass transition temperature of polyacrylamides using quantum chemical descriptors134Polycarbonate : antimicrobial polymer delivery, monomer synthesis, rapid polymerization and functionalization0The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science16Tackling the Challenge of a Huge Materials Science Search Space with Quantum‐Inspired Annealing28Surface science of cosmetic substrates, cleansing actives and formulations68Bias free multiobjective active learning for materials design and discovery198Two-step machine learning enables optimized nanoparticle synthesis267Obey validity limits of data-driven models through topological data analysis and one-class classification57Deep learning-based estimation of Flory–Huggins parameter of A–B block copolymers from cross-sectional images of phase-separated structures17Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites58Data-Driven Ionic Liquid Design for CO2 Capture: Molecular Structure Optimization and DFT Verification56Pushing nanomaterials up to the kilogram scale – An accelerated approach for synthesizing antimicrobial ZnO with high shear reactors, machine learning and high-throughput analysis34Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models44Synthesis of functional miktoarm star polymers in an automated parallel synthesizer12Review of machine learning‐driven design of polymer‐based dielectrics50Featurization Strategies for Polymer Sequence or Composition Design by Machine Learning2XGBoost automates the characterisation of reversibly actuating planar-flow-casted NiTi shape memory alloy foil1Featurization strategies for polymer sequence or composition design by machine learning96Machine Learning Prediction on the Fractional Free Volume of Polymer Membranes89New Opportunity: Machine Learning for Polymer Materials Design and Discovery127Inverse Design of Materials by Machine Learning137Predicting Phase Behavior of Linear Polymers in Solution Using Machine Learning55Machine learning assisted synthesis of lithium-ion batteries cathode materials102Data-driven approaches for structure-property relationships in polymer science for prediction and understanding68Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids177Materiomically Designed Polymeric Vehicles for Nucleic Acids: Quo Vadis?18Materials informatics approach using domain modelling for exploring structure–property relationships of polymers14Deep learning in frequency domain for inverse identification of nonhomogeneous material properties37Cross-linked polysaccharides in drug delivery3Machine-Learning-Based Predictions of Polymer and Postconsumer Recycled Polymer Properties: A Comprehensive Review62Computer‐Aided Design of Crosslinked Polymer Membrane Using Machine Learning and Molecular Dynamics15Artificial intelligence automates the characterization of reversibly actuating planar-flow-casted NiTi shape memory alloy foil6Dynamic Modeling of Intrinsic Self-Healing Polymers Using Deep Learning21Ring Repeating Unit: A Deterministic Structure Representation of Polymers for Property Predictions0Computational and data-driven modelling of solid polymer electrolytes21Development of prediction model for cloud point of thermo-responsive polymers by experiment-oriented materials informatics21Electrochemical Cloud Point Temperature from Thermoamperometry: Real-Time Analysis for Phase Transition of Thermoresponsive Polymers1Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence43The Rise of Machine Learning in Polymer Discovery85Predicting the Temperature-Dependent Tensile properties of Polyphenylsulfone using a Machine learning approach7Data-driven future for nanofiltration: Escaping linearity15Polymer graph neural networks for multitask property learning105Sizing up feature descriptors for macromolecular machine learning with polymeric biomaterials37Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language39A Comparison of Machine Learning Approaches in Predicting Viscosity for Partially Hydrolyzed Polyacrylamide Derivatives3Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization34Applied machine learning as a driver for polymeric biomaterials design167SMiPoly: Generation of a Synthesizable Polymer Virtual Library Using Rule-Based Polymerization Reactions37Machine Learning‐Aided Prediction and Construction of a Descriptor for Polymer Properties: A Case Study on the Lower Critical Solution Temperature of Copolymerized N ‐Isopropylacrylamides8In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science99Application of Digital Methods in Polymer Science and Engineering28Polymer design via SHAP and Bayesian machine learning optimizes pDNA and CRISPR ribonucleoprotein delivery47Properties and Mechanisms of Solid-Polymer Electrolytes with Asymmetric Salts0Creation of Polymer Datasets with Targeted Backbones for Screening of High-Performance Membranes for Gas Separation13Machine Learning-based Inverse Design Model of a Transistor1Mathematical modeling of the creation process and aging of polymer composite materials0Accelerated discovery of perovskite solid solutions through automated materials synthesis and characterization29Design of functional and sustainable polymers assisted by artificial intelligence231Machine Learning‐Guided Design and Synthesis of Eco‐Friendly Poly(ethylene oxide) Membranes for High‐Efficacy CO2/N2 Separation13Structural optimization of PNIPAM-derived thermoresponsive polymers: a computational approach employing artificial neural networks and genetic algorithms0Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation95Defining "Novel Material" in Generative Models: A Boundary between Chemical Validity and Synthesizability0Machine Learning-Based Methods for Materials Inverse Design: A Review34NMR Data Science0Autonomous platform for solution processing of electronic polymers68Data‐driven deep learning prediction of full molecular weight distribution in polymerization processes8High-throughput and explainable machine learning for lacquer formulations: Enhancing coating development by interpretable models4Parameter efficient multi-model vision assistant for polymer solvation behaviour inference2Machine learning in polymer science: A new lens for physical and chemical exploration35Predictive Approaches for 3D ‐Printing: Methods and Approaches for Polymeric Materials5Computation and machine learning for materials: Past, present, and future perspectives9Adding machine learning to the polymer reaction engineering toolbox13Polymers and the eco-design transformation. A cosmetic perspective3Dispersed Generative Inverse Design: Localized Uniformity Accelerating Polymer Property-to-Processing Discovery3Machine learning and explainable artificial intelligence reveal physical insights into biomass-derived carbon for high-performance supercapacitors13Bioprinted electroactive membrane architectures for adaptive water purification: A frontier review of bioinspired, stimuli-responsive, and self-regulating systems1Generative transformer decoder-only model polyGT: Toward polymer informatics comprehension and target polymer inverse design4Real-World Applications of AI-Designed Polymers0Towards an artificial intelligence ecosystem for performance-driven polymer design1Uncertainty guided inverse design of polymers0Learning nature’s assembly language with polymers1Stimuli-Responsive Smart Polymer: A Precise Era with Artificial Intelligence and Machine Learning8Machine Learning‐Based Inverse Design for Functional Materials: Methods, Challenges, and Engineering Applications19Challenges and opportunities in machine learning for metal additive manufacturing: data scarcity and interpretability4Interpretable Two-Stage Machine Learning for Early and Full Drug Release Prediction in PLGA Microspheres4Harnessing Artificial Intelligence (AI) for a greener future: a review of AI advancements in green chemistry, chemical processes and sustainable materials3Amphiphilic Hollow Microgels at the Liquid–Liquid Interface: Studying Soft Colloids’ Shape and Interior via Computer Simulations and Machine Learning2Advanced representations and generative artificial intelligence for polyolefins0AI-driven EcoBlend optimiser: Machine learning ranking of feedstock oils for biodiesel suitability0AI-Empowered Separation Membranes: Challenges and Opportunities0Artificial intelligence in nanotechnology: current applications and future perspectives0Cross-Scale Machine Learning for Polymer Materials: Linking Molecular Structure, Mesoscale Organization, Processing History, and Macroscopic Properties0Engineering Smart Hydrogels Through Dynamic Polymer Networks for Controlled Drug Delivery0Polymer informatics for decision-making in industrial R&D: Challenges, opportunities, and perspectives0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

108 direct citing papers saved. Showing the first 50 here; use Browse Matching Papers in the map for all loaded papers.

  1. Challenges and opportunities of polymer design with machine learning and high throughput experimentation

    MRS Communications · 2019-05-03

    Jatin Kumar, Qianxiao Li, Jun Ye

    Read original paper ↗ ·

  2. Embedding Physics Domain Knowledge into a Bayesian Network Enables Layer-by-Layer Process Innovation for Photovoltaics

    arXiv (Cornell University) · 2019-07-25

    Zekun Ren, Felipe Oviedo, Muang Thway, Siyu Isaac Parker Tian, Yue Wang, Hansong Xue, José Darío Perea, Mariya Layurova, Thomas Heumueller, Erik Birgersson, Armin Gerhard Aberle, Christoph Josef Brabec, Rolf Stangl, Shijing Sun, Qianxiao Li, Fen Lin, Ian Marius Peters, Tonio Buonassisi

    Read original paper ↗ ·

  3. Toward Accelerated Thermoelectric Materials and Process Discovery

    ACS Applied Energy Materials · 2020-01-29

    Jose Recatala‐Gomez, Ady Suwardi, Iris S. Nandhakumar, Anas Abutaha, Kedar Hippalgaonkar

    Read original paper ↗ ·

  4. Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

    npj Computational Materials · 2020-01-31

    Zekun Ren, Felipe Oviedo, Maung Thway, Siyu Isaac Parker Tian, Yue Wang, Hansong Xue, José Darío Perea, Mariya Layurova, Thomas Heumueller, Erik Birgersson, Armin Gerhard Aberle, Christoph Josef Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi

    Read original paper ↗ ·

  5. Inverse Design of Potential Singlet Fission Molecules using a Transfer Learning Based Approach

    arXiv (Cornell University) · 2020-03-17

    Akshay Subramanian, Utkarsh Saha, Tejasvini Sharma, Naveen Kumar Tailor, Soumitra Satapathi

    Read original paper ↗ ·

  6. Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

    Chemical Reviews · 2020-06-10

    Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, Berend Smit

    Read original paper ↗ ·

  7. Machine Learning for Polymer Swelling in Liquids

    ACS Applied Polymer Materials · 2020-07-20

    Qisong Xu, Jianwen Jiang

    Read original paper ↗ ·

  8. How machine learning can help select capping layers to suppress perovskite degradation

    Nature Communications · 2020-08-20

    Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun

    Read original paper ↗ ·

  9. Potentials and challenges of polymer informatics: exploiting machine learning for polymer design

    arXiv (Cornell University) · 2020-10-15

    Stephen Wu, Hironao YAMADA, Hayashi, Yoshihiro, Massimiliano Zamengo, Ryo Yoshida

    Read original paper ↗ ·

  10. Bias Free Multiobjective Active Learning for Materials Design and Discovery

    ChemRxiv · 2020-11-09

    Kevin Maik Jablonka, Giriprasad Melpatti Jothiappan, Shefang Wang, Berend Smit, Brian Yoo

    Read original paper ↗ ·

  11. Machine Learning and High-Throughput Robust Design of P3HT-CNT Composite Thin Films for High Electrical Conductivity

    ChemRxiv · 2020-11-23

    Daniil Bash, Yongqiang Cai, Vijila Chellappan, Swee Liang Wong, Yang Xu, Pawan Kumar, Jin Da Tan, Anas Abutaha, Jayce Jian Wei Cheng, Yee‐Fun Lim, Isaac Parker Siyu Tian, Zekun Ren, Wai Kuan Wong, Flore Mekki‐Berrada, Jatin Kumar, Saif A. Khan, Qianxiao Li, Tonio Buonassisi, Kedar Hippalgaonkar

    Read original paper ↗ ·

  12. A Recommender System for Inverse Design of Polycarbonates and Polyesters

    Macromolecules · 2020-11-27

    Nathaniel H. Park, Dmitry Yu. Zubarev, James L. Hedrick, Vivien Kiyek, Christiaan H. W. A. Corbet, Simon Lottier

    Read original paper ↗ ·

  13. Progress and Roadmap for Intelligent Self‐Healing Materials in Autonomous Robotics

    Advanced Materials · 2020-12-21

    Yu Jun Tan, Glenys Jocelin Susanto, Hashina Parveen Anwar Ali, Benjamin C. K. Tee

    Read original paper ↗ ·

  14. Data-driven algorithms for inverse design of polymers

    Soft Matter · 2021-01-01

    Kianoosh Sattari, Yunchao Xie, Jian Lin

    Read original paper ↗ ·

  15. Machine learning glass transition temperature of polyacrylamides using quantum chemical descriptors

    Polymer Chemistry · 2021-01-01

    Yun Zhang, Xiaojie Xu

    Read original paper ↗ ·

  16. Polycarbonate : antimicrobial polymer delivery, monomer synthesis, rapid polymerization and functionalization

    Unknown journal · 2021-01-01

    Eddy Tan

    Read original paper ↗ ·

  17. The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science

    RSC Advances · 2021-01-01

    Jun Kikuchi, Shunji Yamada

    Read original paper ↗ ·

  18. Tackling the Challenge of a Huge Materials Science Search Space with Quantum‐Inspired Annealing

    Advanced Intelligent Systems · 2021-01-08

    Kan Hatakeyama‐Sato, Takahiro Kashikawa, Kôichi Kimura, Kenichi Oyaizu

    Read original paper ↗ ·

  19. Surface science of cosmetic substrates, cleansing actives and formulations

    Advances in Colloid and Interface Science · 2021-02-18

    Gustavo S. Luengo, Anne‐Laure Fameau, Fabien Léonforte, Andrew J. Greaves

    Read original paper ↗ ·

  20. Bias free multiobjective active learning for materials design and discovery

    Nature Communications · 2021-04-19

    Kevin Maik Jablonka, Giriprasad Melpatti Jothiappan, Shefang Wang, Berend Smit, Brian Yoo

    Read original paper ↗ ·

  21. Two-step machine learning enables optimized nanoparticle synthesis

    npj Computational Materials · 2021-04-20

    Flore Mekki‐Berrada, Zekun Ren, Tan Huang, Wai Kuan Wong, Fang Zheng, Jiaxun Xie, Siyu Isaac Parker Tian, J. Senthilnath, Zackaria Mahfoud, Daniil Bash, Kedar Hippalgaonkar, Saif A. Khan, Tonio Buonassisi, Qianxiao Li, Xiaonan Wang

    Read original paper ↗ ·

  22. Obey validity limits of data-driven models through topological data analysis and one-class classification

    Optimization and Engineering · 2021-05-12

    Artur M. Schweidtmann, Jana M. Weber, Christian Wende, Linus Netze, Alexander Mitsos

    Read original paper ↗ ·

  23. Deep learning-based estimation of Flory–Huggins parameter of A–B block copolymers from cross-sectional images of phase-separated structures

    Scientific Reports · 2021-06-10

    Katsumi Hagita, Takeshi Aoyagi, Yuto Abe, Shinya Genda, T. Honda

    Read original paper ↗ ·

  24. Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites

    Advanced Functional Materials · 2021-06-24

    Daniil Bash, Yongqiang Cai, Vijila Chellappan, Swee Liang Wong, Yang Xu, Pawan Kumar, Jin Da Tan, Anas Abutaha, Jayce Jian Wei Cheng, Yee‐Fun Lim, Siyu Isaac Parker Tian, Zekun Ren, Flore Mekki‐Berrada, Wai Kuan Wong, Jiaxun Xie, Jatin Kumar, Saif A. Khan, Qianxiao Li, Tonio Buonassisi, Kedar Hippalgaonkar

    Read original paper ↗ ·

  25. Data-Driven Ionic Liquid Design for CO2 Capture: Molecular Structure Optimization and DFT Verification

    Industrial & Engineering Chemistry Research · 2021-07-01

    Xiang Zhang, Jingwen Wang, Zhen Song, Teng Zhou

    Read original paper ↗ ·

  26. Pushing nanomaterials up to the kilogram scale – An accelerated approach for synthesizing antimicrobial ZnO with high shear reactors, machine learning and high-throughput analysis

    Chemical Engineering Journal · 2021-07-17

    Nicholas A. Jose, Mikhail Kovalev, Eric Christopher Bradford, Artur M. Schweidtmann, Hua Chun Zeng, Alexei A. Lapkin

    Read original paper ↗ ·

  27. Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models

    Advanced Intelligent Systems · 2021-09-16

    Yee‐Fun Lim, Chee Koon Ng, U. S. Vaitesswar, Kedar Hippalgaonkar

    Read original paper ↗ ·

  28. Synthesis of functional miktoarm star polymers in an automated parallel synthesizer

    European Polymer Journal · 2021-09-21

    Chao Chen, Friederike Richter, Junliang Zhang, Carlos Guerrero‐Sánchez, Anja Traeger, Ulrich S. Schubert, Anchao Feng, San H. Thang

    Read original paper ↗ ·

  29. Review of machine learning‐driven design of polymer‐based dielectrics

    IET Nanodielectrics · 2021-11-02

    Ming‐Xiao Zhu, Ting Deng, Lei Dong, Jiming Chen, Zhi‐Min Dang

    Read original paper ↗ ·

  30. Featurization Strategies for Polymer Sequence or Composition Design by Machine Learning

    Unknown journal · 2021-11-08

    Roshan Patel, Carlos H. Borca, Michael A. Webb

    Read original paper ↗ ·

  31. XGBoost automates the characterisation of reversibly actuating planar-flow-casted NiTi shape memory alloy foil

    Research Square · 2021-12-02

    Ritaban Dutta, Cherry Chen, David Renshaw, Daniel Liang

    Read original paper ↗ ·

  32. Featurization strategies for polymer sequence or composition design by machine learning

    Molecular Systems Design & Engineering · 2022-01-01

    Roshan A. Patel, Carlos H. Borca, Michael A. Webb

    Read original paper ↗ ·

  33. Machine Learning Prediction on the Fractional Free Volume of Polymer Membranes

    Journal of Membrane Science · 2022-01-01

    Lei Tao, Jinlong He, Tom Arbaugh, Jeffrey R. McCutcheon, Ying Li

    Read original paper ↗ ·

  34. New Opportunity: Machine Learning for Polymer Materials Design and Discovery

    Advanced Theory and Simulations · 2022-02-12

    Pengcheng Xu, Huimin Chen, Minjie Li, Wencong Lu

    Read original paper ↗ ·

  35. Inverse Design of Materials by Machine Learning

    Materials · 2022-02-28

    Wang Jia, Yingxue Wang, Yanan Chen

    Read original paper ↗ ·

  36. Predicting Phase Behavior of Linear Polymers in Solution Using Machine Learning

    Macromolecules · 2022-03-24

    Jeffrey G. Ethier, Rohan K. Casukhela, Joshua J. Latimer, Matthew D. Jacobsen, Boris Rasin, Maneesh K. Gupta, Luke A. Baldwin, Richard A. Vaia

    Read original paper ↗ ·

  37. Machine learning assisted synthesis of lithium-ion batteries cathode materials

    Nano Energy · 2022-03-31

    Chi Hao Liow, Hyeonmuk Kang, Seung-Gu Kim, Moony Na, Yong‐Ju Lee, Arthur Baucour, Kihoon Bang, Yoonsu Shim, Jacob Choe, Gyuseong Hwang, Seongwoo Cho, Gun Park, Jiwon Yeom, Joshua Agar, Jong Min Yuk, Jonghwa Shin, Hyuck Mo Lee, Hye Ryung Byon, EunAe Cho, Seungbum Hong

    Read original paper ↗ ·

  38. Data-driven approaches for structure-property relationships in polymer science for prediction and understanding

    Polymer Journal · 2022-05-03

    Yoshifumi Amamoto

    Read original paper ↗ ·

  39. Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids

    Advanced Materials · 2022-05-20

    Matthew Tamasi, Roshan A. Patel, Carlos H. Borca, Shashank Kosuri, Heloise Mugnier, Rahul Upadhya, N. Sanjeeva Murthy, Michael A. Webb, Adam J. Gormley

    Read original paper ↗ ·

  40. Materiomically Designed Polymeric Vehicles for Nucleic Acids: Quo Vadis?

    ACS Applied Bio Materials · 2022-06-01

    Ramya Kumar

    Read original paper ↗ ·

  41. Materials informatics approach using domain modelling for exploring structure–property relationships of polymers

    Scientific Reports · 2022-06-22

    Koki Hara, Shunji Yamada, Atsushi Kurotani, Eisuke Chikayama, Jun Kikuchi

    Read original paper ↗ ·

  42. Deep learning in frequency domain for inverse identification of nonhomogeneous material properties

    Journal of the Mechanics and Physics of Solids · 2022-08-29

    Yizhe Liu, Yuli Chen, Bin Ding

    Read original paper ↗ ·

  43. Cross-linked polysaccharides in drug delivery

    Elsevier eBooks · 2022-09-09

    Mohsen Khodadadi Yazdi, Ali Khodadadi, Payam Zarrintaj, Mohammad Reza Saeb, Foad Salehnia, Morteza Rezapour, Sajjad Habibzadeh, Mohammad Reza Saeb

    Read original paper ↗ ·

  44. Machine-Learning-Based Predictions of Polymer and Postconsumer Recycled Polymer Properties: A Comprehensive Review

    ACS Applied Materials & Interfaces · 2022-09-14

    Nagababu Andraju, Greg W. Curtzwiler, Yun Ji, Evguenii I. Kozliak, Prakash Ranganathan

    Read original paper ↗ ·

  45. Computer‐Aided Design of Crosslinked Polymer Membrane Using Machine Learning and Molecular Dynamics

    Chemie Ingenieur Technik · 2022-10-07

    Wenjing Guo, Shiyang Chai, Lei Zhang, Jian Du

    Read original paper ↗ ·

  46. Artificial intelligence automates the characterization of reversibly actuating planar-flow-casted NiTi shape memory alloy foil

    PLoS ONE · 2022-10-19

    Ritaban Dutta, Ling Chen, David Renshaw, Daniel Liang

    Read original paper ↗ ·

  47. Dynamic Modeling of Intrinsic Self-Healing Polymers Using Deep Learning

    ACS Applied Materials & Interfaces · 2022-11-08

    Hashina Parveen Anwar Ali, Zichen Zhao, Yu Jun Tan, Wei Yao, Qianxiao Li, Benjamin C. K. Tee

    Read original paper ↗ ·

  48. Ring Repeating Unit: A Deterministic Structure Representation of Polymers for Property Predictions

    Research Square · 2022-11-08

    Mengxian Yu, Yajuan Shi, Qingzhu Jia, Qiang Wang, Zheng‐Hong Luo, Fangyou Yan, Yin‐Ning Zhou

    Read original paper ↗ ·

  49. Computational and data-driven modelling of solid polymer electrolytes

    Digital Discovery · 2023-01-01

    Kaiyang Wang, Haoyuan Shi, Tianjiao Li, Liming Zhao, Hanfeng Zhai, Deepa Korani, Jingjie Yeo

    Read original paper ↗ ·

  50. Development of prediction model for cloud point of thermo-responsive polymers by experiment-oriented materials informatics

    Polymer Chemistry · 2023-01-01

    Mai Hayakawa, Kosuke Sakano, Rei Kumada, Haruka Tobita, Yasuhiko Igarashi, Daniel Citterio, Yuya Oaki, Yuki Hiruta

    Read original paper ↗ ·
More citing papers →
Citation Atlas · A map of research, not a ranking.