Results 131 to 140 of about 3,071 (290)
Generative Deep Learning for Advanced Battery Materials
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]
Jarzynski C, Deffner S, Rahav S.
europepmc +1 more source
Stationary Strongly Mixing Sequences Not Satisfying the Central Limit Theorem [PDF]
Norbert Herrndorf
openalex +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
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
Entropy, Periodicity and the Probability of Primality. [PDF]
Croll GJ.
europepmc +1 more source
Strong Approximations in the Almost Sure Central Limit Theorem and Limit Behavior of the Center of Mass [PDF]
Zhishui Hua, Wei Wanga, Dong Liang
openalex +1 more source
Strong limit theorems for supercritical imigration-branching processes.
Asmussen, Soren, Hering, Heinrich
openaire +3 more sources
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
Strong Limit Theorems For Dependent Random Variables
Libin Wu, LI Bai-nian
openalex +2 more sources
Strong limit theorems for oscillation moduli of the uniform empirical process [PDF]
David M. Mason +2 more
openalex +1 more source

