Results 1 to 10 of about 3,408,458 (372)

Learning two-phase microstructure evolution using neural operators and autoencoder architectures [PDF]

npj Computational Materials, 2022
Phase-field modeling is an effective but computationally expensive method for capturing the mesoscale morphological and microstructure evolution in materials.
Vivek Oommen, K. Shukla, S. Goswami, R. Dingreville, G. Karniadakis   +4 more
semanticscholar   +1 more source

Palaeoclimate of the Paleogene Dongying Formation in Bozhong Sag of Bohai Bay Basin

Petroleum Research, 2021
It was showed that the sedimentary environment of lacustrine basins is more susceptible to basin size than that of marine basins, leading to frequent changes in sedimentary environment and large differences in sediment supply and types.
Juan Zhang, Chenchen Wang, Jingmin Wang, Linbo wang, Yunqian Jia, Rongrong Hu   +5 more
doaj   +1 more source

Investigating microstructure evolution of lithium metal during plating and stripping via operando X-ray tomographic microscopy

Nature Communications, 2023
Understanding the plating and stripping behaviours of lithium metal is crucial for high-energy battery development. Here, authors track these electrochemical processes in real time by an operando synchrotron X-ray tomographic microscopy, revealing the ...
M. Sadd, Shizhao Xiong, J. Bowen, F. Marone, A. Matic   +4 more
semanticscholar   +1 more source

Geochemical and gas bearing characteristics of the marine-continental transitional Longtan shales in southern Sichuan, China

Frontiers in Earth Science, 2023
Marine-continental transitional shale, as an important shale type, gains less attention than marine and continental shale, which restricts the exploration and development process of marine-continental transitional shale gas.
Yana Chen, Yana Chen, Xiangyang Pei, Jizhen Zhang, Jizhen Zhang, Nan Wang, Denglin Han, Juan Wang, Xiao Xiao, Xiao Xiao, Jianguo Wang, Jianguo Wang   +11 more
doaj   +1 more source

A Review of FE-FFT-Based Two-Scale Methods for Computational Modeling of Microstructure Evolution and Macroscopic Material Behavior

Archives of Computational Methods in Engineering, 2022
The overall, macroscopic constitutive behavior of most materials of technological importance such as fiber-reinforced composites or polycrystals is very much influenced by the underlying microstructure.
C. Gierden, Julian Kochmann, J. Waimann, B. Svendsen, S. Reese   +4 more
semanticscholar   +1 more source

Tectonic Factors Restricting Differences among Layers in Microstructure of Ultradeep Clastic Rock Reservoir: A Case Study on Cretaceous Bashijiqike Formation in Kuqa Depression

Lithosphere, 2023
The Cretaceous Bashijiqike Formation in the Kelasu structural belt of Kuqa Depression is an ultradeep reservoir with burial depth of more than 6 km.
Miaomiao Su, Denglin Han, Ronghu Zhang, Qinglu Zeng, Zhenzhen Lin, Chenchen Wang   +5 more
doaj   +1 more source

Differences in Pore-forming Efficiency among Organic Macerals and Its Restriction against Reservoir Quality: A Case Study Based on the Marine Shale Reservoir in the Longmaxi Formation, Southern Sichuan Basin, China

Lithosphere, 2021
Organic matter pores are of important significance in the shale formation system rich of organic matters. Although a lot of studies have discussed controlling factors of organic matter pores in the past, it still lacks a quantitative analysis on ...
Yunqian Jia, Denglin Han, Jizhen Zhang, Chenchen Wang, Wei Lin, Xiaohai Ren, Chengye Yang, Licheng Chang   +7 more
doaj   +1 more source

Differential Characteristics and the Main Controlling Factors of Shale Oil Sweet Spot Reservoirs in Lucaogou Formation, Jimsar Sag, Junggar Basin

Geofluids, 2022
The microscopic differences in characteristics and formation mechanism of shale oil reservoirs in the upper and lower sweet spot sections of the Lucaogou Formation in the Jimsar Depression, which has been identified as a national shale oil demonstration ...
Jingmin Wang, Denglin Han, Yuan Deng, Wei Lin, Ao Su, Chenchen Wang, Jizhen Zhang, Juan Zhang   +7 more
doaj   +1 more source

Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods

npj Computational Materials, 2021
The phase-field method is a powerful and versatile computational approach for modeling the evolution of microstructures and associated properties for a wide variety of physical, chemical, and biological systems.
David Montes de Oca Zapiain, James A. Stewart, R. Dingreville   +2 more
semanticscholar   +1 more source

Comprehensive unified model and simulation approach for microstructure evolution

ChemPhysMater, 2022
The prediction of microstructure constituents and their morphologies is of great importance for the evaluation of material properties and design of advanced materials.
Mohammad Bagher Nasiri, Fatemeh Iranshahi   +1 more
doaj   +1 more source