Extreme summer precipitation events in China have grown increasingly frequent and intense, posing severe threats to human life, property, and ...
Application of orthogonal CNOP-I in a convection-allowing ensemble prediction system based on CMA-MESO for improving extreme ...
To make cancer care smoother and more effective, the Alliance for Clinical Trials in Oncology has introduced a new clinical ...
ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...
If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.
Imagine if you could "print" a tiny skyscraper using DNA instead of steel. That’s what researchers at Columbia and Brookhaven are doing—constructing intricate 3D nanostructures by harnessing the ...
We derive and implement a second-order adjoint method to compute exact gradients and Hessians for a prototypical quantum optimal control problem, that of solving for the minimal energy applied ...
Retailers like Target and Walmart use AI to prevent stockouts and manage inventory. AI systems can predict demand to help improve inventory accuracy and availability. This article is part of "How AI ...
Abstract: An adjoint-based inverse design method is proposed for efficient topology optimization of microwave components. In this approach, the postprocessing adjoint analytical topology formula is ...
Just wanted to ask if I have the right understanding of what algorithms are being used for each adjoint method, as the documentation does not link each method to a paper or reference.
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