Triplet Fusion Upconversion for Photocuring 3D‐Printed Particle‐Reinforced Composite Networks
Sign Up to like & getrecommendations! Published in 2023 at "Advanced Materials"
DOI: 10.1002/adma.202207673
Abstract: High energy photons (λ < 400 nm) are frequently used to initiate free radical polymerizations to form polymer networks, but are only effective for transparent objects. This phenomenon poses a major challenge to additive manufacturing… read more here.
Keywords: reinforced composite; particle reinforced; triplet fusion; composite networks ... See more keywords
CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenance
Sign Up to like & getrecommendations! Published in 2025 at "Neural Computing and Applications"
DOI: 10.1007/s00521-025-10995-z
Abstract: Maintaining equipment and machinery in industries is imperative for maximizing operational efficiency and prolonging their lifespan. The adoption of predictive maintenance enhances resource allocation, productivity, and product quality by proactively identifying and addressing potential equipment… read more here.
Keywords: predictive maintenance; bayesian optimization; conelpabo composite; networks learning ... See more keywords
Minimal Sufficient Conditions for Structural Observability/Controllability of Composite Networks via Kronecker Product
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2019.2960002
Abstract: In this article, we consider composite networks formed from the Kronecker product of smaller networks. We find the observability and controllability properties of the product network from those of its constituent smaller networks. The overall… read more here.
Keywords: observability controllability; minimal sufficient; kronecker product; composite networks ... See more keywords