The lab-scale, near-white heterojunction solar cell uses nanoclay-based scattering layers combined with dielectric multilayer films to preserve power conversion efficiency while enhancing visual ...
A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.
The competing requirements of fusion breeder blankets and the high dimensionality of their design space necessitate a systematic treatment to map the variations in performance against given objective ...
“I’m working on a Multi-Objective Bayesian Optimization (MOBO) problem involving a system with roughly 60 input parameters and around 30 performance evaluation metrics that we would ideally like to ...
This study uses an artificial neural network (ANN) model to predict the wear rate and friction coefficient of the magnesium alloy AZ91D, based on experimental data from a pin-on-disc tribometer. The ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Antibody engineering requires a delicate balance between enhancing binding affinity ...
In International Conference on Evolutionary Multi-objective Optimization. DOI: 10.1007/978-981-96-3538-2_9 [arXiv] The paper introduces an acquisition function for finding the Pareto front of a ...
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