Machine learning aided evaluation and design based on polymer membrane materials

Machine Learning Assisted Screening of Two-Dimensional Materials for Water Desalination

(2022) Pikee Priya et al.   ACS Nano

Label-Free Differentiation of Cancer and Non-Cancer Cells Based on Machine-Learning-Algorithm-Assisted Fast Raman Imaging

(2022) Qing He et al.   Biosensors-Basel

Deep learning-assisted smartphone-based molecularly imprinted electrochemiluminescence detection sensing platform: Protable device and visual monitoring furosemide

(2022) Yi Zhang et al.   BIOSENSORS & BIOELECTRONICS

Intelligent Oil Production Stratified Water Injection Technology

(2022) Hanlie Cheng et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Machine Learning-Assisted Design of Yttria-Stabilized Zirconia Thermal Barrier Coatings with High Bonding Strength

(2022) Pengcheng Xu et al.   ACS Omega

Machine-Learning-Assisted High-Throughput computational screening of Metal–Organic framework membranes for hydrogen separation

(2022) Xiangning Bai et al.   CHEMICAL ENGINEERING JOURNAL

Head-On Dynamic Manifestations in the Roadway Driving with Small Coal Pillar under the Influence of Roof Drainage: A Case Study from Uxin Banner

(2022) Yunhai Cheng et al.   GEOFLUIDS

Machine-learning-assisted insight into the cathode catalyst layer in proton exchange membrane fuel cells

(2022) Yuxuan Lou et al.   JOURNAL OF POWER SOURCES

Anomalous nanoparticle surface diffusion in LCTEM is revealed by deep learning-assisted analysis

(2021) Vida Jamali et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Machine-Learning-Assisted Segmentation of Focused Ion Beam-Scanning Electron Microscopy Images with Artifacts for Improved Void-Space Characterization of Tight Reservoir Rocks

(2021) Andrey Kazak et al.   SPE JOURNAL

Deep-Learning-Assisted Single-Molecule Tracking on a Live Cell Membrane

(2021) Qian Wang et al.   ANALYTICAL CHEMISTRY

Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping

(2021) K.K. Gupta et al.   JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS

Machine-Learning-Assisted De Novo Design of Organic Molecules and Polymers: Opportunities and Challenges

(2020) Guang Chen et al.   Polymers

Toward Designing Highly Conductive Polymer Electrolytes by Machine Learning Assisted Coarse-Grained Molecular Dynamics

(2020) Yanming Wang et al.   CHEMISTRY OF MATERIALS

Designing exceptional gas-separation polymer membranes using machine learning

(2020) J. Wesley Barnett et al.   Science Advances

Harnessing a Novel Machine-Learning-Assisted Evolutionary Algorithm to Co-optimize Three Characteristics of an Electrospun Oil Sorbent

(2020) Boqian Wang et al.   ACS Applied Materials & Interfaces

Crack propagation and hydraulic fracturing in different lithologies

(2019) Zhen-Kun Hou et al.   Applied Geophysics

Emerging investigator series: design of hydrogel nanocomposites for the detection and removal of pollutants: from nanosheets, network structures, and biocompatibility to machine-learning-assisted design

(2018) Xuan Hou et al.   Environmental Science-Nano