Application of Gaussian processes and transfer learning to prediction and analysis of polymer properties

Bimodal Polymer End-Linked Nanoparticle Network Design Strategy to Manipulate the Structure–Mechanics Relation

(2021) Ruisi Chen et al.   JOURNAL OF PHYSICAL CHEMISTRY B

NNI‐SMOTE‐XGBoost: A Novel Small Sample Analysis Method for Properties Prediction of Polymer Materials

(2021) Dazi Li et al.   MACROMOLECULAR THEORY AND SIMULATIONS

Microfluidic Screening‐Assisted Machine Learning to Investigate Vertical Phase Separation of Small Molecule:Polymer Blend

(2021) Jeong‐Chan Lee et al.   ADVANCED MATERIALS

Heterogeneous Dynamics of Polymer Melts Exerted by Chain Loops Anchored on the Substrate: Insights from Molecular Dynamics Simulation

(2021) Ke Gao et al.   LANGMUIR

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

(2020) Guang Chen et al.   Polymers

Frequency-dependent dielectric constant prediction of polymers using machine learning

(2020) Lihua Chen et al.   npj Computational Materials

A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization

(2020) Haoshu Cai et al.   COMPUTERS IN INDUSTRY

Mechanical and Self-Healing Behavior of Matrix-Free Polymer Nanocomposites Constructed via Grafted Graphene Nanosheets

(2020) Minghui Liu et al.   LANGMUIR

Structure prediction drives materials discovery

(2019) Artem R. Oganov et al.   Nature Reviews Materials

Predicting Materials Properties with Little Data Using Shotgun Transfer Learning

(2019) Hironao Yamada et al.   ACS Central Science

Training data augmentation: An empirical study using generative adversarial net-based approach with normalizing flow models for materials informatics

(2019) Hiroshi Ohno   APPLIED SOFT COMPUTING

Transfer learning based on incorporating source knowledge using Gaussian process models for quick modeling of dynamic target processes

(2019) Kuanglei Wang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Unveiling the Mechanism of the Location of the Grafted Nanoparticles in a Lamellar-Forming Block Copolymer

(2019) Ke Gao et al.   LANGMUIR

Tailoring the dispersion of nanoparticles and the mechanical behavior of polymer nanocomposites by designing the chain architecture

(2017) Guanyi Hou et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Prediction of polymer properties using infinite chain descriptors (ICD) and machine learning: Toward optimized dielectric polymeric materials

(2016) K. Wu et al.   JOURNAL OF POLYMER SCIENCE PART B-POLYMER PHYSICS

Gaussian process regression with multiple response variables

(2015) Bo Wang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

(2015) Sadeep Jayasumana et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Transfer learning using computational intelligence: A survey

(2015) Jie Lu et al.   KNOWLEDGE-BASED SYSTEMS

Multivariate Gaussian Process Emulators With Nonseparable Covariance Structures

(2013) Thomas E. Fricker et al.   TECHNOMETRICS

Predictions of effective physical properties of complex multiphase materials

(2008) M WANG et al.   MATERIALS SCIENCE & ENGINEERING R-REPORTS