Results 31 to 40 of about 680 (170)

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, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

COMPUTATIONAL FLUID DYNAMICS METHODS IN TURBOMACHINERY

TASK Quarterly, 1998
This paper aims to present a general view of the Sow problems in turbomachinery and the current levels of numerical methods for solving these problems. The flow models used for modelling phenomena in blade cascade are presented. The models of turbulence
TADEUSZ J. CHMIELNIAK
doaj  

Application of Central-Weighted Essentially Non-Oscillatory Finite-Volume Interface-Capturing Schemes for Modeling Cavitation Induced by an Underwater Explosion

Fluids
Cavitation resulting from underwater explosions in compressible multiphase or multicomponent flows presents significant challenges due to the dynamic nature of shock–cavitation–structure interactions, as well as the complex and discontinuous nature of ...
Ebenezer Mayowa Adebayo, Panagiotis Tsoutsanis, Karl W. Jenkins   +2 more
doaj   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

An efficient shock capturing scheme for multicomponent multiphase thermal flow in porous media [PDF]

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2012
This paper is concerned with multicomponent, two-phase, thermal fluid flow in porous media. The fluid model consists of component conservation equations, Darcy's law for volumetric flow rates and an enthalpy conservation equation. The model is closed with an equation of state and phase equilibrium conditions that determine the distribution of the ...
Daniel E. A. van Odyck, Sean Lovett, Franck Monmont, Nikolaos Nikiforakis   +3 more
openaire   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

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, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Multiphase flow and multicomponent reactive transport model of the ventilation experiment in Opalinus clay [PDF]

Physics and Chemistry of the Earth, Parts A/B/C, 2008
Abstract During the construction and operational phases of a high-level radioactive waste (HLW) repository constructed in a clay rock, ventilation of underground drifts will cause desaturation and oxidation of the rock. The ventilation experiment (VE) was performed in a 1.3 m diameter unlined horizontal microtunnel on Opalinus clay at Mont Terri ...
Zheng, L., Samper, J., Montenegro, L., Major, J.C.   +3 more
openaire   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Electrokinetic Stabilization of Formation Fines Using Surface Modified Polymer Silica Nanocomposites During Low Salinity Water Flooding for Enhanced Oil Recovery

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Fines migration induced by low salinity water flooding severely impairs reservoir permeability and injectivity presenting a critical challenge in enhanced oil recovery. This study aims to synthesize and evaluate a surface‐modified polymer‐silica nanocomposite to mitigate clay mobilization and preserve the hydrodynamic capacity of porous media.
Mohamed Abu Shuheil, Dilipkumar S. Patel, N. Beemkumar, Tariq Abdulkader Alrihaim, Dhirendra Nath Thatoi, Ripendeep Singh, Rohit Kumar, Parminder Singh, Ahmad Khalid   +8 more
wiley   +1 more source

Lattice Boltzmann phase-field modeling of thermocapillary flows in a confined microchannel [PDF]

, 2014
To understand how thermocapillary forces manipulate the droplet motion in a confined microchannel, a lattice Boltzmann phase-field model is developed to simulate immiscible thermocapillary flows with consideration of fluid–surface interactions.
Valocchi, Albert J., Zhang, Yonghao, Kang, Qinjun, Liu, Haihu   +3 more
core   +4 more sources