Membrane Science Meets Machine Learning: Future and Potential Use in Assisting Membrane Material Design and Fabrication
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Membrane Science Meets Machine Learning: Future and Potential Use in Assisting Membrane Material Design and Fabrication
Authors
Keywords
-
Journal
SEPARATION AND PURIFICATION REVIEWS
Volume -, Issue -, Pages 1-14
Publisher
Informa UK Limited
Online
2023-05-12
DOI
10.1080/15422119.2023.2212295
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Machine learning aided high-throughput prediction of ionic liquid@MOF composites for membrane-based CO2 capture
- (2022) Zhengqing Zhang et al. JOURNAL OF MEMBRANE SCIENCE
- Evaluation of machine learning algorithms to predict internal concentration polarization in forward osmosis
- (2022) Ibrar Ibrar et al. JOURNAL OF MEMBRANE SCIENCE
- Deep learning meets quantitative structure–activity relationship (QSAR) for leveraging structure-based prediction of solute rejection in organic solvent nanofiltration
- (2022) Gergo Ignacz et al. JOURNAL OF MEMBRANE SCIENCE
- High-throughput predictions of metal–organic framework electronic properties: theoretical challenges, graph neural networks, and data exploration
- (2022) Andrew S. Rosen et al. npj Computational Materials
- Combining Machine Learning and Molecular Simulations to Unlock Gas Separation Potentials of MOF Membranes and MOF/Polymer MMMs
- (2022) Hilal Daglar et al. ACS Applied Materials & Interfaces
- Agglomeration tendency and activated carbon concentration effects on activated carbon‐polysulfone mixed matrix membrane performance: A design of experiment formulation study
- (2022) Jeremy Lewis et al. JOURNAL OF APPLIED POLYMER SCIENCE
- Interpretable machine learning for accelerating the discovery of metal-organic frameworks for ethane/ethylene separation
- (2022) Zihao Wang et al. CHEMICAL ENGINEERING JOURNAL
- Membrane fouling prediction and uncertainty analysis using machine learning: A wastewater treatment plant case study
- (2022) David J. Kovacs et al. JOURNAL OF MEMBRANE SCIENCE
- Machine learning improves metal–organic frameworks design and discovery
- (2022) Senam Tamakloe MRS BULLETIN
- Combining Computational Screening and Machine Learning to Predict Metal–Organic Framework Adsorbents and Membranes for Removing CH4 or H2 from Air
- (2022) Huilin Li et al. Membranes
- Machine learning for designing of thin-film nanocomposite membrane
- (2021) Masoud Fetanat et al. SEPARATION AND PURIFICATION TECHNOLOGY
- Machine Learning for Advanced Design of Nanocomposite Ultrafiltration Membranes
- (2021) Masoud Fetanat et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Machine Learning Meets with Metal Organic Frameworks for Gas Storage and Separation
- (2021) Cigdem Altintas et al. Journal of Chemical Information and Modeling
- Imputation of missing gas permeability data for polymer membranes using machine learning
- (2021) Qi Yuan et al. JOURNAL OF MEMBRANE SCIENCE
- Predicting Polymers’ Glass Transition Temperature by a Chemical Language Processing Model
- (2021) Guang Chen et al. Polymers
- From Black Box to Machine Learning: A Journey through Membrane Process Modelling
- (2021) Claudia F. Galinha et al. Membranes
- Automating water quality analysis using ML and auto ML techniques
- (2021) D. Venkata Vara Prasad et al. ENVIRONMENTAL RESEARCH
- Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization
- (2021) Haiping Gao et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature
- (2021) Lei Tao et al. Journal of Chemical Information and Modeling
- Bayesian optimization for chemical products and functional materials
- (2021) Ke Wang et al. Current Opinion in Chemical Engineering
- Transport analysis of material gap membrane distillation desalination processes
- (2020) Jingcheng Cai et al. DESALINATION
- Safety and serviceability of membrane buildings: A critical review on architectural, material and structural performance
- (2020) Jianhui Hu et al. ENGINEERING STRUCTURES
- Neural networks for estimating physical parameters in membrane distillation
- (2020) Alexander V. Dudchenko et al. JOURNAL OF MEMBRANE SCIENCE
- Designing exceptional gas-separation polymer membranes using machine learning
- (2020) J. Wesley Barnett et al. Science Advances
- Understanding and optimization of thin film nanocomposite membranes for reverse osmosis with machine learning
- (2020) Chester Su Hern Yeo et al. JOURNAL OF MEMBRANE SCIENCE
- Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning
- (2020) Deniz Rall et al. JOURNAL OF MEMBRANE SCIENCE
- Gas Transport in a Polymer of Intrinsic Microporosity (PIM-1) Substituted with Pseudo-Ionic Liquid Tetrazole-Type Structures
- (2020) Michael D. Guiver et al. MACROMOLECULES
- Separation of noble gases through nano porous material membranes
- (2020) B. Assfour et al. ANNALS OF NUCLEAR ENERGY
- Molecular image-convolutional neural network (CNN) assisted QSAR models for predicting contaminant reactivity toward OH radicals: Transfer learning, data augmentation and model interpretation
- (2020) Shifa Zhong et al. CHEMICAL ENGINEERING JOURNAL
- A comparison of t-SNE, SOM and SPADE for identifying material type domains in geological data
- (2019) Mehala Balamurali et al. COMPUTERS & GEOSCIENCES
- Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review
- (2019) Majid Bagheri et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Activated carbon in mixed-matrix membranes
- (2019) Jeremy Lewis et al. SEPARATION AND PURIFICATION REVIEWS
- A Machine Learning Approach for Predicting Defluorination of Per- and Polyfluoroalkyl Substances (PFAS) for Their Efficient Treatment and Removal
- (2019) Akber Raza et al. Environmental Science & Technology Letters
- 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
- Advances, Updates, and Analytics for the Computation-Ready, Experimental Metal–Organic Framework Database: CoRE MOF 2019
- (2019) Yongchul G. Chung et al. JOURNAL OF CHEMICAL AND ENGINEERING DATA
- Toward the inverse design of MOF membranes for efficient D2/H2 separation by combination of physics-based and data-driven modeling
- (2019) Musen Zhou et al. JOURNAL OF MEMBRANE SCIENCE
- Machine learning–assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials
- (2019) Wenbo Sun et al. Science Advances
- Machine Learning Enabled Tailor-Made Design of Application-Specific Metal–Organic Frameworks
- (2019) Xiangyu Zhang et al. ACS Applied Materials & Interfaces
- The roles of particles in enhancing membrane filtration: A review
- (2019) Jingwei Wang et al. JOURNAL OF MEMBRANE SCIENCE
- Machine learning-enabled discovery and design of membrane-active peptides
- (2018) Ernest Y. Lee et al. BIOORGANIC & MEDICINAL CHEMISTRY
- Evaluating variability with atomistic simulations: the effect of potential and calculation methodology on the modeling of lattice and elastic constants
- (2018) Lucas M Hale et al. MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING
- Mordred: a molecular descriptor calculator
- (2018) Hirotomo Moriwaki et al. Journal of Cheminformatics
- Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
- (2018) Rafael Gómez-Bombarelli et al. ACS Central Science
- Inverse design in search of materials with target functionalities
- (2018) Alex Zunger Nature Reviews Chemistry
- Inverse molecular design using machine learning: Generative models for matter engineering
- (2018) Benjamin Sanchez-Lengeling et al. SCIENCE
- Neural networks for the prediction of polymer permeability to gases
- (2017) Hanaa Hasnaoui et al. JOURNAL OF MEMBRANE SCIENCE
- Polymer Informatics: Opportunities and Challenges
- (2017) Debra J. Audus et al. ACS Macro Letters
- Computational identification of organic porous molecular crystals
- (2016) Jack D. Evans et al. CRYSTENGCOMM
- Molecular graph convolutions: moving beyond fingerprints
- (2016) Steven Kearnes et al. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
- Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach
- (2016) Rafael Gómez-Bombarelli et al. NATURE MATERIALS
- Taking the Human Out of the Loop: A Review of Bayesian Optimization
- (2016) Bobak Shahriari et al. PROCEEDINGS OF THE IEEE
- Machine Learning Strategy for Accelerated Design of Polymer Dielectrics
- (2016) Arun Mannodi-Kanakkithodi et al. Scientific Reports
- Polymer-matrix nanocomposite membranes for water treatment
- (2015) Jun Yin et al. JOURNAL OF MEMBRANE SCIENCE
- The Materials Genome Initiative, the interplay of experiment, theory and computation
- (2014) Juan J. de Pablo et al. CURRENT OPINION IN SOLID STATE & MATERIALS SCIENCE
- Considerations for choosing and using force fields and interatomic potentials in materials science and engineering
- (2013) Chandler A. Becker et al. CURRENT OPINION IN SOLID STATE & MATERIALS SCIENCE
- A review on membrane fabrication: Structure, properties and performance relationship
- (2013) Boor Singh Lalia et al. DESALINATION
- Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)
- (2013) James E. Saal et al. JOM
- The high-throughput highway to computational materials design
- (2013) Stefano Curtarolo et al. NATURE MATERIALS
- Quantitative Structure–Property Relationship Modeling of Diverse Materials Properties
- (2012) Tu Le et al. CHEMICAL REVIEWS
- When is Chemical Similarity Significant? The Statistical Distribution of Chemical Similarity Scores and Its Extreme Values
- (2010) Pierre Baldi et al. Journal of Chemical Information and Modeling
- Extended-Connectivity Fingerprints
- (2010) David Rogers et al. Journal of Chemical Information and Modeling
- PaDEL-descriptor: An open source software to calculate molecular descriptors and fingerprints
- (2010) Chun Wei Yap JOURNAL OF COMPUTATIONAL CHEMISTRY
- Crosslinked poly(vinyl alcohol) membranes
- (2009) Brian Bolto et al. PROGRESS IN POLYMER SCIENCE
- The upper bound revisited
- (2008) Lloyd M. Robeson JOURNAL OF MEMBRANE SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More