Results 131 to 140 of about 3,071 (290)

Generative Deep Learning for Advanced Battery Materials

open access: yesBatteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal   +3 more
wiley   +1 more source

Fluctuation theorems for autonomous work. [PDF]

open access: yesProc Natl Acad Sci U S A
Jarzynski C, Deffner S, Rahav S.
europepmc   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska   +5 more
wiley   +1 more source

Strong limit theorems for supercritical imigration-branching processes.

open access: yesMATHEMATICA SCANDINAVICA, 1976
Asmussen, Soren, Hering, Heinrich
openaire   +3 more sources

Sustainability‐Linked Trade Credit and Inventory Strategies in Supply Chains: An Integrated Modeling Approach

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Despite the growing research on sustainability, exactly how sustainability and trade credits are linked in the supply chain (SC) is still unclear. Therefore, this study aims to bridge this gap by examining how both supplier and retailer sustainability‐linked strategies and investment decisions influence trade credit terms, inventory decisions,
Vandana, Roberto Cerchione
wiley   +1 more source

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