Prediction and optimization of epoxy adhesive strength from a small dataset through active learning

Homogeneously Dispersed Polyrotaxane in Epoxy Adhesive and Its Improvement in the Fracture Toughness

(2019) Sirawit Pruksawan et al.   MACROMOLECULES

Accelerated Search for BaTiO 3 ‐Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design

(2019) Ruihao Yuan et al.   Advanced Science

Accelerated Discovery of Large Electrostrains in BaTiO3 -Based Piezoelectrics Using Active Learning

(2018) Ruihao Yuan et al.   ADVANCED MATERIALS

Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

(2018) Prasanna V. Balachandran et al.   Nature Communications

Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments

(2018) Fang Ren et al.   Science Advances

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Impact of dataset uncertainties on machine learning model predictions: the example of polymer glass transition temperatures

(2018) Anurag Jha et al.   MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING

Effect of resin/hardener stoichiometry on electrical behavior of epoxy networks

(2017) F. N. Alhabill et al.   IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION

Accelerated search for materials with targeted properties by adaptive design

(2016) Dezhen Xue et al.   Nature Communications

Toughening polymer adhesives using nanosized elastomeric particles

(2014) Qingshi Meng et al.   JOURNAL OF MATERIALS RESEARCH

Accelerating materials property predictions using machine learning

(2013) Ghanshyam Pilania et al.   Scientific Reports

Effect of chain flexibility in the network structure on the viscoelasticity of epoxy thermosets

(2011) John S. Nakka et al.   JOURNAL OF POLYMER RESEARCH