Accelerating Combinatorial Electrocatalyst Discovery with Bayesian Optimization: a Case Study in the Quaternary System Ni‐Pd‐Pt‐Ru for the Oxygen Evolution Reaction
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Science"
DOI: 10.1002/advs.202507302
Abstract: The discovery of high‐performance electrocatalysts is crucial for advancing sustainable energy technologies. Compositionally complex solid solutions comprising multiple metals offer promising catalytic properties, yet their exploration is challenging due to the combinatorial explosion of possible… read more here.
Keywords: oxygen evolution; evolution reaction; bayesian optimization; optimization ... See more keywords
Maximizing mRNA vaccine production with Bayesian optimization
Sign Up to like & getrecommendations! Published in 2022 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.28216
Abstract: Messenger RNA (mRNA) vaccines are a new alternative to conventional vaccines with a prominent role in infectious disease control. These vaccines are produced in in vitro transcription (IVT) reactions, catalyzed by RNA polymerase in cascade… read more here.
Keywords: bayesian optimization; ivt reaction; production; vaccine ... See more keywords
Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays
Sign Up to like & getrecommendations! Published in 2024 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.28854
Abstract: With the rise in engineered biomolecular devices, there is an increased need for tailor‐made biological sequences. Often, many similar biological sequences need to be made for a specific application meaning numerous, sometimes prohibitively expensive, lab… read more here.
Keywords: transfer learning; use; bayesian optimization; optimization ... See more keywords
Bayesian Optimization in Bioprocess Engineering—Where Do We Stand Today?
Sign Up to like & getrecommendations! Published in 2025 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.28960
Abstract: Bayesian optimization is a stochastic, global black‐box optimization algorithm. By combining Machine Learning with decision‐making, the algorithm can optimally utilize information gained during experimentation to plan further experiments—while balancing exploration and exploitation. Although Design of… read more here.
Keywords: optimization bioprocess; bayesian optimization; optimization; bioprocess engineering ... See more keywords
Optimal design of dielectric flat lens utilizing Bayesian optimization
Sign Up to like & getrecommendations! Published in 2021 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.32837
Abstract: In recent years, various kinds of optimal design approaches are intensively studied for exploring novel and higher performance microwave and optical devices beyond human knowledge. In this article, we first apply a design approach based… read more here.
Keywords: design; optimal design; dielectric flat; optimization ... See more keywords
Spatial-Uniformity-Driven Bayesian Optimization for Rapid Development of Printed Perovskite Solar Cells.
Sign Up to like & getrecommendations! Published in 2025 at "Small"
DOI: 10.1002/smll.202511799
Abstract: Printed metal halide perovskites can enable rapid, roll-to-roll manufacturing of a broad class of optoelectronics-flexible solar cells and imagers among them-while promising cost and speed advantages over incumbent silicon. However, though current methods offer high… read more here.
Keywords: uniformity; spatial uniformity; solar cells; bayesian optimization ... See more keywords
Using CNN with Bayesian optimization to identify cerebral micro-bleeds
Sign Up to like & getrecommendations! Published in 2020 at "Machine Vision and Applications"
DOI: 10.1007/s00138-020-01087-0
Abstract: This article studies the problem of detecting cerebral micro-bleeds (CMBs) using a convolutional neural network (CNN). Cerebral micro-bleeds (CMBs) are increasingly recognized neuroimaging findings, occurring with cerebrovascular diseases, dementia, and normal aging. Naturally enough, it… read more here.
Keywords: cerebral micro; micro bleeds; using cnn; bayesian optimization ... See more keywords
A multi-fidelity Bayesian optimization approach based on the expected further improvement
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02772-4
Abstract: Sampling efficiency is important for simulation-based design optimization. While Bayesian optimization (BO) has been successfully applied in engineering problems, the cost associated with large-scale simulations has not been fully addressed. Extending the standard BO approaches… read more here.
Keywords: fidelity; bayesian optimization; fidelity bayesian; multi fidelity ... See more keywords
Knowledge-based modeling of simulation behavior for Bayesian optimization
Sign Up to like & getrecommendations! Published in 2024 at "Computational Mechanics"
DOI: 10.1007/s00466-023-02427-3
Abstract: Numerical simulations consist of many components that affect the simulation accuracy and the required computational resources. However, finding an optimal combination of components and their parameters under constraints can be a difficult, time-consuming and often… read more here.
Keywords: time; simulation behavior; bayesian optimization; simulation ... 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
Route planning for multiple surveillance autonomous drones using a discrete firefly algorithm and a Bayesian optimization method
Sign Up to like & getrecommendations! Published in 2018 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-018-0454-x
Abstract: This paper focuses on the planning of routes for autonomous drones used for the surveillance of a given area. Routes consist of permutations of checkpoints selected by a human supervisor. The permutations are evaluated by… read more here.
Keywords: autonomous drones; surveillance; bayesian optimization; firefly algorithm ... See more keywords