Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But ...
This is a preview. Log in through your library . Abstract Unlike traditional approaches, Bayesian methods enable formal combination of expert opinion and objective information into interim and final ...
Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
Aim To identify subgroups of early rheumatoid arthritis (RA) based on comorbidities and RA manifestations and to investigate ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
We list the best content calendar software, to make it simple and easy to keep organized with your social media content. Scheduling is essential for every person whose work revolves around publishing ...
As the global energy landscape rapidly transforms, the integration of distributed energy resources (DERs)—such as photovoltaic (PV) systems, energy storage ...
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