A two-stages global sensitivity analysis by using the δ sensitivity index in presence of correlated inputs: application on a tumor growth inhibition model based on the dynamic energy budget theory. [PDF]
J Pharmacokinet Pharmacodyn, 2023 De Carlo A +3 more
europepmc +1 more source
Advanced Electronic Materials, EarlyView.Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley +1 more source
Physiological performance of native and invasive crayfish species in a changing environment: insights from Dynamic Energy Budget models. [PDF]
Conserv Physiol, 2022 Marn N +4 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
A Dynamic Energy Budget Approach for the Prediction of Development Times and Variability in Spodoptera frugiperda Rearing. [PDF]
Insects, 2021 Gergs A, Baden CU.
europepmc +1 more source
Guide to performance contracting
, 2006 This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Title from PDF cover (viewed on March 18, 2016)."The Oregon ...
core
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Budget processes: Theory and experimental evidence [PDF]
This paper studies budget processes, both theoretically and experimentally. We compare the outcomes of bottom-up and top-down budget processes. It is often presumed that a top-down budget process leads to a smaller overall budget than a bottom-up budget ...
von Hagen, Jürgen +3 more
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Advanced Energy Materials, EarlyView.A bottom‐up, component‐resolved framework combining DSC/TGA, evolved gas analysis, and in situ XRD reveals how decomposition pathways control energy release in partial and micro‐cell configurations. Separator‐free assemblies are dominated by cathode‐O2${\rm O}_2$/anode‐Li reactions, while the separator restricts oxygen transport, reshapes the reaction ...
Ayrton M. Yanyachi +8 more
wiley +1 more source
Adipokinetic hormone (AKH), energy budget and their effect on feeding and gustatory processes of foraging honey bees. [PDF]
Sci Rep, 2021 de Brito Sanchez G +5 more
europepmc +1 more source