Papers citing Machine learning enables polymer cloud-point engineering via inverse design
Electrochemical Cloud Point Temperature from Thermoamperometry: Real-Time Analysis for Phase Transition of Thermoresponsive Polymers
Analytical Chemistry · 2023
Ji Young Lee, Ji Young Lee, Taehyoung Kim, Sua Song, Jeeho Lee, Jeeho Lee, Sang Youl Kim, Jinhee Lee, Jinhee Lee, Byung‐Kwon Kim
Read original paper ↗ ·Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence
Expert Opinion on Drug Delivery · 2023
Jonathan Zaslavsky, Pauric Bannigan, Christine J. Allen
Read original paper ↗ ·The Rise of Machine Learning in Polymer Discovery
Advanced Intelligent Systems · 2023
Cheng Yan, Guoqiang Li
Read original paper ↗ ·Predicting the Temperature-Dependent Tensile properties of Polyphenylsulfone using a Machine learning approach
Composite Structures · 2023
Cristiano Fragassa
Read original paper ↗ ·Data-driven future for nanofiltration: Escaping linearity
Journal of Membrane Science Letters · 2023
Gergő Ignácz, Áron Kristóf Beke, György Székely
Read original paper ↗ ·Polymer graph neural networks for multitask property learning
npj Computational Materials · 2023
Owen Queen, Gavin A. McCarver, Saitheeraj Thatigotla, Brendan P. Abolins, Cameron L. Brown, Vasileios Maroulas, Konstantinos D. Vogiatzis
Read original paper ↗ ·Sizing up feature descriptors for macromolecular machine learning with polymeric biomaterials
npj Computational Materials · 2023
Samantha Stuart, Jeffrey Watchorn, Frank Gu
Read original paper ↗ ·Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language
Nature Communications · 2023
Nathaniel H. Park, Matteo Manica, Jannis Born, James L. Hedrick, Tim Erdmann, Dmitry Yu. Zubarev, Nil Adell Mill, Pedro L. Arrechea
Read original paper ↗ ·A Comparison of Machine Learning Approaches in Predicting Viscosity for Partially Hydrolyzed Polyacrylamide Derivatives
VETOR - Revista de Ciências Exatas e Engenharias · 2023
Kelly Cristine da Silveira, Matheus Henrique Silva Siqueira, João Matheus Ramos Gama, Jonathan Nogueira Gois, Claudio Fabiano Motta Toledo, Antônio José da Silva Neto
Read original paper ↗ ·Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization
Journal of Chemical Information and Modeling · 2023
Jin Da Tan, Balamurugan Ramalingam, Swee Liang Wong, Jayce Jian Wei Cheng, Yee‐Fun Lim, Vijila Chellappan, Saif A. Khan, Jatin Kumar, Kedar Hippalgaonkar
Read original paper ↗ ·Applied machine learning as a driver for polymeric biomaterials design
Nature Communications · 2023
Samantha M. McDonald, Emily K. Augustine, Quinn Lanners, Cynthia D Rudin, L. Catherine Brinson, Matthew L. Becker
Read original paper ↗ ·SMiPoly: Generation of a Synthesizable Polymer Virtual Library Using Rule-Based Polymerization Reactions
Journal of Chemical Information and Modeling · 2023
Mitsuru Ohno, Yoshihiro Hayashi, Qi Zhang, Yu Kaneko, Ryo Yoshida
Read original paper ↗ ·Machine Learning‐Aided Prediction and Construction of a Descriptor for Polymer Properties: A Case Study on the Lower Critical Solution Temperature of Copolymerized N ‐Isopropylacrylamides
Macromolecular Chemistry and Physics · 2023
Yuuki Sugawara
Read original paper ↗ ·In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Journal of the American Chemical Society · 2023
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, Jakoah Brgoch
Read original paper ↗ ·Application of Digital Methods in Polymer Science and Engineering
Advanced Functional Materials · 2023
Timo Schuett, Patrick Endres, Tobias Standau, Stefan Zechel, Rodrigo Queiroz Albuquerque, Christian Brütting, Holger Ruckdäschel, Ulrich S. Schubert
Read original paper ↗ ·Polymer design via SHAP and Bayesian machine learning optimizes pDNA and CRISPR ribonucleoprotein delivery
Chemical Science · 2024
Rishad J. Dalal, Felipe Oviedo, Michael C. Leyden, Theresa M. Reineke
Read original paper ↗ ·Properties and Mechanisms of Solid-Polymer Electrolytes with Asymmetric Salts
The Materials Research Society series · 2024
Kan Hatakeyama‐Sato
Read original paper ↗ ·Creation of Polymer Datasets with Targeted Backbones for Screening of High-Performance Membranes for Gas Separation
Journal of Chemical Information and Modeling · 2024
Surya Prakash Tiwari, Wei Zhong Shi, Samir Budhathoki, James S. Baker, Ali Kemal Sekizkardes, Lingxiang Zhu, Victor A. Kusuma, David Hopkinson, Janice A. Steckel
Read original paper ↗ ·Machine Learning-based Inverse Design Model of a Transistor
Indian Journal of Science and Technology · 2024
Abhilipsa Sahoo, Kaushika Patel
Read original paper ↗ ·Mathematical modeling of the creation process and aging of polymer composite materials
Proceedings of the National Academy of Sciences of Belarus Physical-Technical Series · 2024
Анатолий Борисович Лаптев, A. M. Kogan, E.V. Nikolaev, А.А. Рогачев, Zh. V. Ihnatovich, Yu. V. Matveenko
Read original paper ↗ ·Accelerated discovery of perovskite solid solutions through automated materials synthesis and characterization
Nature Communications · 2024
Mojan Omidvar, Hangfeng Zhang, Achintha Avin Ihalage, Theo Saunders, Henry Giddens, Derek Michael Forrester, Sajad Haq, Yang Hao
Read original paper ↗ ·Design of functional and sustainable polymers assisted by artificial intelligence
Nature Reviews Materials · 2024
Tran Doan Huan, Rishi Gurnani, Chiho Kim, Ghanshyam Pilania, Ha-Kyung Kwon, Ryan P. Lively, Rampi Ramprasad
Read original paper ↗ ·Machine Learning‐Guided Design and Synthesis of Eco‐Friendly Poly(ethylene oxide) Membranes for High‐Efficacy CO2/N2 Separation
Advanced Functional Materials · 2024
Guangtai Zheng, Shuyuan Zhang, Linghang Meng, Sui Zhang, Xiaonan Wang
Read original paper ↗ ·Structural optimization of PNIPAM-derived thermoresponsive polymers: a computational approach employing artificial neural networks and genetic algorithms
Ciência e Natura · 2024
Kelly Cristine da Silveira, Tony Hille, Matheus Moraes Gago, Josiele da Silva Teixeira, Guilherme Leite, Jonathan Nogueira Gois, Antônio José da Silva Neto
Read original paper ↗ ·Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation
Environmental Science & Technology · 2024
Raghav Dangayach, Nohyeong Jeong, Elif Demirel, Niğmet Uzal, Victor Fung, Yongsheng Chen
Read original paper ↗ ·Defining "Novel Material" in Generative Models: A Boundary between Chemical Validity and Synthesizability
Journal of Computational and Data-Driven Materials Engineering · 2025
Khaled Mahfouz, Rania Abdelaziz, Sherif Adel, Dina Mostafa, Tamer Nabil, Reem Saad
Read original paper ↗ ·Machine Learning-Based Methods for Materials Inverse Design: A Review
Computers, materials & continua/Computers, materials & continua (Print) · 2025
Yingli Liu, Yuting Cui, Haihe Zhou, Tao Shen, Sheng Lei, Haibin Yuan, Jiancheng Yin
Read original paper ↗ ·NMR Data Science
Springer eBooks · 2025
Jun Kikuchi
Read original paper ↗ ·Autonomous platform for solution processing of electronic polymers
Nature Communications · 2025
Chengshi Wang, Yeonju Kim, Aikaterini Vriza, Rohit Batra, Arun Baskaran, Naisong Shan, Nan Li, Pierre Darancet, Logan T. Ward, Yuzi Liu, Maria K. Y. Chan, Subramanian K. R. S. Sankaranarayanan, Harry Christopher Fry, C. S. Miller, Henry Chan, Jie Xu
Read original paper ↗ ·Data‐driven deep learning prediction of full molecular weight distribution in polymerization processes
The Canadian Journal of Chemical Engineering · 2025
Dante Mora‐Mariano, Antonio Flores‐Tlacuahuac, Iván Zapata‐González, Enrique Saldívar‐Guerra
Read original paper ↗ ·High-throughput and explainable machine learning for lacquer formulations: Enhancing coating development by interpretable models
Progress in Organic Coatings · 2025
Gaoyuan Zhang, Tobias Borgert, Carmen Stoffelen, Christian Schmitz
Read original paper ↗ ·Parameter efficient multi-model vision assistant for polymer solvation behaviour inference
npj Computational Materials · 2025
Zheng Jie Liew, Ziad Elkhaiary, Alexei A. Lapkin
Read original paper ↗ ·Machine learning in polymer science: A new lens for physical and chemical exploration
Progress in Materials Science · 2025
Xiao-Qin Cao, Yongqing Zhang, Zhenghua Sun, Hongyao Yin, Yujun Feng
Read original paper ↗ ·Predictive Approaches for 3D ‐Printing: Methods and Approaches for Polymeric Materials
Wiley Interdisciplinary Reviews Computational Molecular Science · 2025
Isabel Cooley, W.J. Wang, Vladimir A. Kozyrev, Ricky D. Wildman, Blair F. Johnston, Anna K. Croft
Read original paper ↗ ·Computation and machine learning for materials: Past, present, and future perspectives
MRS Bulletin · 2025
Sobin Alosious, Meng Jiang, Tengfei Luo
Read original paper ↗ ·Adding machine learning to the polymer reaction engineering toolbox
Progress in Polymer Science · 2025
Kiarash Farajzadehahary, Shaghayegh Hamzehlou, Nicholas Ballard
Read original paper ↗ ·Polymers and the eco-design transformation. A cosmetic perspective
Green Materials · 2025
Gustavo S. Luengo, Hugo Tanner, Jacques L’Haridon, Julien Portal, Fabien Léonforte, Fabien E. I. Deswarte, Sandrine Chodorowski‐Kimmès, Michel Philippe
Read original paper ↗ ·Dispersed Generative Inverse Design: Localized Uniformity Accelerating Polymer Property-to-Processing Discovery
Macromolecules · 2025
Han Liu, Liantang Li
Read original paper ↗ ·Machine learning and explainable artificial intelligence reveal physical insights into biomass-derived carbon for high-performance supercapacitors
Journal of Power Sources · 2025
Sourav Ghosh, Ashwath Sibi, Tiju Thomas
Read original paper ↗ ·Bioprinted electroactive membrane architectures for adaptive water purification: A frontier review of bioinspired, stimuli-responsive, and self-regulating systems
Materials chemistry and physics. · 2025
Ali Imran Ansari, Mohd. Mursaleen, Nazir Ahmad Sheikh
Read original paper ↗ ·Generative transformer decoder-only model polyGT: Toward polymer informatics comprehension and target polymer inverse design
Chemical Engineering Science · 2025
Hao Xu, Weimin Zhong, Xin Peng, Yiming Wang
Read original paper ↗ ·Real-World Applications of AI-Designed Polymers
Engineering materials · 2026
Rohit Verma, Tejendra Kumar Gupta
Read original paper ↗ ·Towards an artificial intelligence ecosystem for performance-driven polymer design
Polymer Chemistry · 2026
Jie Zhu, Dong Wu, Zhao‐Yan Sun, H. C. Li, Xiayun Huang, Zhihong Nie
Read original paper ↗ ·Uncertainty guided inverse design of polymers
Digital Discovery · 2026
Ramindu de Silva, Wei Ge, Martina H. Stenzel, Yanan Fan, Scott A. Sisson
Read original paper ↗ ·Learning nature’s assembly language with polymers
Proceedings of the National Academy of Sciences · 2026
Oliver Xie, Alexander E. Cohen, Martin Z. Bazant, Bradley D. Olsen
Read original paper ↗ ·Stimuli-Responsive Smart Polymer: A Precise Era with Artificial Intelligence and Machine Learning
Precision Chemistry · 2026
Tamanna Pradhan, Subhajit Das, Khokan Mondal, Subrata Dolui
Read original paper ↗ ·Machine Learning‐Based Inverse Design for Functional Materials: Methods, Challenges, and Engineering Applications
Advanced Functional Materials · 2026
Weihao Lin, Liuchao Jin, Zhifei Jiang, Mingjing Cai, Zhihui Lai, Daniil Yurchenko, Bo Yan, Shengxi Zhou, Kostya S. Novoselov, Wei‐Hsin Liao, Shitong Fang
Read original paper ↗ ·Challenges and opportunities in machine learning for metal additive manufacturing: data scarcity and interpretability
Materials Today · 2026
Kai Guo, Songzhe Xu, Chang Sun, Wentao Yan, Jinhui Yan, Hao Yu, C Q Wang, Wei Xu, Jinguo Li, Zhongnan Bi, Tao Hu, Ruixin Zhao, Jiang Wang, Chaoyue Chen, Zhongming Ren
Read original paper ↗ ·Interpretable Two-Stage Machine Learning for Early and Full Drug Release Prediction in PLGA Microspheres
Pharmaceuticals · 2026
Younghun Song, Saroj Bashyal, Hyuk Jun Cho, Mi Ran Woo, Jong Oh Kim, Duhyeong Hwang
Read original paper ↗ ·Harnessing Artificial Intelligence (AI) for a greener future: a review of AI advancements in green chemistry, chemical processes and sustainable materials
Applied Intelligence · 2026
Ahmed M. Elkhatat, Shaheen A. Al‐Muhtaseb
Read original paper ↗ ·