Results 191 to 200 of about 138,110 (219)

Transient Charging of Mixed Ionic‐Electronic Conductors by Anomalous Diffusion

Advanced Materials, EarlyView.
This article explores charge transport in mixed ionic‐electronic conductors (MIECs) through electrochemical impedance spectroscopy and transient current analysis. Focusing on PEDOT:PSS, WO3, and n‐doped PBDF, it uncovers the impact of anomalous diffusion via fractional modeling. The study reveals key correlations that deepen understanding and guide the
Heyi Zhang, Gonzalo Rivera‐Sierra, Shirin Siahjani‐Gultekin, Jenifer Rubio‐Magnieto, Anis Allagui, Ignacio Sanjuán, David Franco, Antonio Guerrero, Enrique H. Balaguera, Juan Bisquert   +9 more
wiley   +1 more source

Sustainable closed-loop supply chain network design under uncertainty using a fuzzy multi-objective optimization framework for the battery industry. [PDF]

Sci Rep
Attari MYN, Rezanejad S, Ala A, Simic V, Pamucar D.   +4 more
europepmc   +1 more source

Role of Liquid Composition in the Transient Liquid Assisted Growth of Superconducting YBa2Cu3O7‐δ Films

Advanced Materials, EarlyView.
The Y supersaturation in the [Ba‐Cu(I/II)‐O] transient liquid composition is the driving force toward YBCO nucleation and growth in TLAG. Tuning the initial (Ba:Cu) molar ratio in the ink composition determines the YBCO epitaxial nucleation through supersaturation control.
Lavinia Saltarelli, Diana García, Laia Soler, Elzbieta Pach, Kapil Gupta, Daniel Sanchez‐Rodriguez, Jordi Aguilar, Víctor Fuentes, Eduardo Solano, Cristian Mocuta, Jordi Farjas, Xavier Obradors, Teresa Puig   +12 more
wiley   +1 more source

MOSRS: An engineering multi-objective optimization through Einsteinian concept. [PDF]

PLoS One
Goodarzimehr V, Pereira JLJ, Khodadadi N.   +2 more
europepmc   +1 more source

Multi-objective optimization of hybrid laser cleaning process parameters for carbon deposits based on bayesian-SVR and NSGA-II. [PDF]

Sci Rep
Su Y, Hu Y, Zhang Q, Yao Z, Chen Z, Yin Y, Yang Z, Yao J.   +7 more
europepmc   +1 more source

Adaptive multi-objective optimization of microgrid energy management using deep reinforcement learning considering battery degradation and renewable uncertainty. [PDF]

Sci Rep
Altimania MRM, Basem A, Saydullaev B, Atamuratova Z, Madaminov B, Umarov A, Benti NE, Chaka MD.   +7 more
europepmc   +1 more source

Development of a stochastic multi-objective optimization model for managing the water, food, and energy nexus in agriculture. [PDF]

Sci Rep
Dogouri MA, Janatrostami S, Ashrafzadeh A, Pirmoradian N.   +3 more
europepmc   +1 more source

Development of an integrated intelligent BIM-based model for multi-objective optimization in engineering assembly processes. [PDF]

PLoS One
Zhang Y.
europepmc   +1 more source

Correction: Chemically-informed active learning enables data-efficient multi-objective optimization of self-healing polyurethanes. [PDF]

Chem Sci
Liang K, Qi X, Xiao X, Wang L, Zhang J.
europepmc   +1 more source

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A survey on evolutionary computation for complex continuous optimization

Artificial Intelligence Review, 2021
, Kay Chen Tan, Zhi-Hui Zhan
exaly