Active Learning Accelerated Discovery of Stable Iridium Oxide Polymorphs for the Oxygen Evolution Reaction
Sign Up to like & getrecommendations! Published in 2020 at "Chemistry of Materials"
DOI: 10.1021/acs.chemmater.0c01894
Abstract: The discovery of high-performing and stable materials for sustainable energy applications is a pressing goal in catalysis and materials science. Understanding the relationship between a material’s ... read more here.
Keywords: active learning; iridium oxide; accelerated discovery; learning accelerated ... See more keywords
Deep Learning-Accelerated Designs of Tunable Magneto-Mechanical Metamaterials.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c09052
Abstract: Metamaterials are artificially structured materials with unusual properties, such as negative Poisson's ratio, acoustic band gap, and energy absorption. However, metamaterials made of conventional materials lack tunability after fabrication. Thus, active metamaterials using magneto-mechanical actuation… read more here.
Keywords: metamaterials deep; design; learning accelerated; deep learning ... See more keywords
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2020.3044839
Abstract: We propose a novel data-driven method to accelerate the convergence of Alternating Direction Method of Multipliers (ADMM) for solving distributed DC optimal power flow (DC-OPF) where lines are shared between independent network partitions. Using previous… read more here.
Keywords: learning accelerated; optimal power; distributed optimal; power flow ... See more keywords