Physics- and image-based prediction of fluid flow and transport in complex porous membranes and materials by deep learning

Simultaneous rational design of ion separation membranes and processes

(2020) Deniz Rall et al.   JOURNAL OF MEMBRANE SCIENCE

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

A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

(2020) Meng Tang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning

(2020) Deniz Rall et al.   JOURNAL OF MEMBRANE SCIENCE

Backwash sequence optimization of a pilot-scale ultrafiltration membrane system using data-driven modeling for parameter forecasting

(2020) Bopeng Zhang et al.   JOURNAL OF MEMBRANE SCIENCE

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

Remaining useful life estimation for proton exchange membrane fuel cells using a hybrid method

(2019) Hao Liu et al.   APPLIED ENERGY

Simulation and characterization of novel reverse osmosis membrane prepared by blending polypyrrole coated multiwalled carbon nanotubes for brackish water desalination and antifouling properties using artificial neural networks

(2019) Javad Farahbakhsh et al.   JOURNAL OF MEMBRANE SCIENCE

A novel process monitoring approach based on variational recurrent autoencoder

(2019) Feifan Cheng et al.   COMPUTERS & CHEMICAL ENGINEERING

Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration

(2019) Sanghun Park et al.   JOURNAL OF MEMBRANE SCIENCE

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

Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning

(2019) Serveh Kamrava et al.   TRANSPORT IN POROUS MEDIA

Machine learning-enabled discovery and design of membrane-active peptides

(2018) Ernest Y. Lee et al.   BIOORGANIC & MEDICINAL CHEMISTRY

Modeling fouling in a large RO system with artificial neural networks

(2018) Edwin A. Roehl et al.   JOURNAL OF MEMBRANE SCIENCE

Prediction of Membrane Permeation of Drug Molecules by Combining an Implicit Membrane Model with Machine Learning

(2018) Stephanie A. Brocke et al.   Journal of Chemical Information and Modeling

Rational design of ion separation membranes

(2018) Deniz Rall et al.   JOURNAL OF MEMBRANE SCIENCE

U-Net: deep learning for cell counting, detection, and morphometry

(2018) Thorsten Falk et al.   NATURE METHODS

Preparation of open-cell polymer foams by CO 2 assisted foaming of polymer blends

(2016) Wei-long Kong et al.   POLYMER

Mapping membrane activity in undiscovered peptide sequence space using machine learning

(2016) Ernest Y. Lee et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The application of 3D imaging techniques, simulation and diffusion experiments to explore transport properties in porous oxygen transport membrane support materials

(2016) Bernhard Tjaden et al.   SOLID STATE IONICS

Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning

(2015) Anthony P. Leonard et al.   BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH

Prediction of plasticization pressure of polymeric membranes for CO2 removal from natural gas

(2015) A.L. Ahmad et al.   JOURNAL OF MEMBRANE SCIENCE

Functional discrimination of membrane proteins using machine learning techniques

(2008) M Michael Gromiha et al.   BMC BIOINFORMATICS

Neural network approach for modeling the performance of reverse osmosis membrane desalting

(2008) Dan Libotean et al.   JOURNAL OF MEMBRANE SCIENCE