Digital modeling-assisted mesoscale visualization lights up materials science from liquid- to solid-state batteries
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Advanced Battery Technologies Research · Conducting polymers and applications · Transition Metal Oxide Nanomaterials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (82)
Show source-provided references
1. High-performance all-solid-state polymer electrolyte with fast conductivity pathway formed by hierarchical structure polyamide 6 nanofiber for lithium metal battery10.1016/j.jechem.2020.06.035 ↗
2. Status and prospect of garnet/polymer solid composite electrolytes for all-solid-state lithium batteries10.1016/j.jechem.2020.03.017 ↗
3. Chemomechanics of rechargeable batteries: status, theories, and perspectives10.1021/acs.chemrev.2c00002 ↗
4. A review of lithium-ion battery safety concerns: The issues, strategies, and testing standards,10.1016/j.jechem.2020.10.017 ↗
5. Multi-scale imaging of solid-state battery interfaces: from atomic scale to macroscopic scale10.1016/j.chempr.2020.06.030 ↗
6. Applying machine learning to rechargeable batteries: from the microscale to the macroscale10.1002/anie.202107369 ↗
7. In‐depth analysis of the degradation mechanisms of high‐nickel, low/no‐cobalt layered oxide cathodes for lithium‐ion batteries
8. An atomic view of cation diffusion pathways from single‐crystal topochemical transformations10.1002/anie.202005513 ↗
9. Robust atomic-resolution imaging of lithium in battery materials by center-of-mass scanning transmission electron microscopy10.1021/acsnano.1c09374 ↗
10. Direct observation of Li-ion transport heterogeneity induced by nanoscale phase separation in Li-rich cathodes of solid-state batteries
11. Atomic structure of sensitive battery materials and interfaces revealed by cryo–electron microscopy10.1126/science.aam6014 ↗
12. Mesoscale battery science: The behavior of electrode particles caught on a multispectral X‑ray camera,10.1021/acs.accounts.8b00123 ↗
13. Mesoscale analysis of conductive binder domain morphology in lithium-ion battery electrodes10.1149/2.0981813jes ↗
14. A particle-resolved 3D finite element model to study the effect of cathode microstructure on the behavior of lithium ion batteries,10.1016/j.electacta.2018.10.072 ↗
15. S.A. Roberts, H. Mendoza, V.E. Brunini, B.L. Trembacki, D.R. Noble, A.M. Grillet, Insights into lithium-ion battery degradation and safety mechanisms from mesoscale simulations using experimentally reconstructed mesostructures
16. Accelerating battery characterization using neutron and synchrotron techniques: Toward a multi‐modal and multi‐scale standardized experimental workflow
17. Visualization of steady-state ionic concentration profiles formed in electrolytes during Li-ion battery operation and determination of mass-transport properties by in situ magnetic resonance imaging10.1021/jacs.6b04226 ↗
18. Tracking battery dynamics by operando synchrotron X‑ray imaging: operation from liquid electrolytes to solid-state electrolytes10.1021/accountsmr.1c00159 ↗
19. Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence10.1038/s41565-022-01081-9 ↗
20. In situ focused ion beam scanning electron microscope study of microstructural evolution of single tin particle anode for Li-ion batteries10.1021/acsami.8b13981 ↗
21. Mesoscale effects of composition and calendering in lithium-ion battery composite electrodes
22. Multiscale simulation platform linking lithium ion battery electrode fabrication process with performance at the cell level10.1021/acs.jpclett.7b02647 ↗
23. Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning10.1016/j.jpowsour.2020.229103 ↗
24. Bridging multiscale characterization technologies and digital modeling to evaluate lithium battery full lifecycle10.1002/aenm.202270144 ↗
25. Effects of three-dimensional cathode microstructure on the performance of lithium-ion battery cathodes10.1016/j.electacta.2012.10.104 ↗
26. Three dimensional simulation of galvanostatic discharge of LiCoO2 cathode based on X-ray nano-CT images10.1149/2.024210jes ↗
27. CHAIN: Cyber hierarchy and interactional network enabling digital solution for battery full-lifespan management10.1016/j.matt.2020.04.015 ↗
28. Digitalization of battery manufacturing: current status, challenges and opportunities
29. Effective transport network driven by tortuosity gradient enables high-electrochem-active solid-state batteries
30. Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement10.1016/j.jpowsour.2021.229462 ↗
31. Simulation study of lithium-ion battery thermal management system based on a variable flow velocity method with liquid metal10.1016/j.applthermaleng.2020.115578 ↗
32. Digital twins10.1177/2399808318796416 ↗
33. Guiding the design of heterogeneous electrode microstructures for Li‐ion batteries: microscopic imaging, predictive modeling, and machine learning10.1002/aenm.202003908 ↗
34. Recent advancements in battery management system for Li‐ion batteries of electric vehicles: future role of digital twin, cyber‐physical systems, battery swapping technology, and nondestructive testing10.1002/ente.202000984 ↗
35. Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems10.1016/j.egyai.2020.100016 ↗
36. Panigrahi, Multi‐dimensional digital twin of energy storage system for electric vehicles: a brief review
37. On the fragmentation of active material secondary particles in lithium ion battery cathodes induced by charge cycling,10.1016/j.eml.2016.03.018 ↗
38. A paradigm of calendaring‐driven electrode microstructure for balanced battery energy density and power density
39. Three-dimensional modeling of all-solid-state lithium-ion batteries using synchrotron transmission X-ray microscopy tomography10.1149/1945-7111/ab9380 ↗
40. Modeling of chemo-mechanical multi-particle interactions in composite electrodes for liquid and solid-state Li-ion batteries10.1149/1945-7111/abe8ea ↗
41. Electrode mesoscale as a collection of particles: coupled electrochemical and mechanical analysis of NMC cathodes10.1149/1945-7111/ab632b ↗
42. 4D-resolved physical model for Electrochemical Impedance Spectroscopy of Li(Ni1-x-yMnxCoy)O2-based cathodes in symmetric cells: Consequences in tortuosity calculations10.1016/j.jpowsour.2020.227871 ↗
43. Analysis of interfacial effects in all-solid-state batteries with thiophosphate solid electrolytes10.1021/acsami.9b21404 ↗
44. Impact of pore tortuosity on electrode kinetics in lithium battery electrodes: Study in directionally freeze-cast LiNi0.8Co0.15Al0.05O2(NCA)10.1149/2.1321802jes ↗
45. Heterogeneous damage in Li-ion batteries: Experimental analysis and theoretical modeling10.1016/j.jmps.2019.05.003 ↗
46. Visualization of anisotropic-isotropic phase transformation dynamics in battery electrode particles
47. Non-uniform temperature distribution in Li-ion batteries during discharge-A combined thermal imaging, X-ray micro-tomography and electrochemical impedance approach10.1016/j.jpowsour.2013.11.059 ↗
48. In-situ measurements of electrochemical stress/strain fields and stress analysis during an electrochemical process10.1016/j.jmps.2021.104602 ↗
49. Quantitative analysis of microstructures and reaction interfaces on composite cathodes in all-solid-state batteries using a three-dimensional reconstruction technique10.1021/acsami.8b04204 ↗
50. Dynamics of particle network in composite battery cathodes10.1126/science.abm8962 ↗
51. Correlative image learning of chemo-mechanics in phase-transforming solids10.1038/s41563-021-01191-0 ↗
52. A data-driven method for extracting aging features to accurately predict the battery health,
53. Artificial intelligence applied to battery research: hype or reality?10.1021/acs.chemrev.1c00108 ↗
54. A generalizable, data-driven online approach to forecast capacity degradation trajectory of lithium batteries10.1016/j.jechem.2021.12.004 ↗
55. Microstructural evolution of battery electrodes during calendering10.1016/j.joule.2020.10.010 ↗
56. Thick electrode batteries: principles, opportunities, and challenges10.1002/aenm.201901457 ↗
57. Influence of conductive additives and binder on the impedance of lithium-ion battery electrodes: effect of morphology10.1149/1945-7111/ab6b1d ↗
58. Digital twin enables rational design of ultrahigh‐power lithium‐ion batteries
59. Interface issues and challenges in all-solid-state batteries: Lithium, sodium, and beyond10.1002/adma.202000721 ↗
60. Insights into interfacial effect and local lithium-ion transport in polycrystalline cathodes of solid-state batteries10.1038/s41467-020-19528-9 ↗
61. Driving lithium to deposit inside structured lithium metal anodes: A phase field model10.1016/j.jechem.2022.06.010 ↗
62. Digital twin-driven all-solid-state battery: Unraveling the physical and electrochemical behaviors
63. Interfaces in solid-state lithium batteries10.1016/j.joule.2018.07.009 ↗
64. Multi-physics simulation of solid-state batteries with active material coating10.1149/1945-7111/ab68c3 ↗
65. Aspects of simulating the dynamic compaction of a granular ceramic10.1088/0965-0393/17/4/045003 ↗
66. Quantifying the influence ofcharge rate and cathode-particle architectures on degradation of Li-ion cells through 3D continuum-level damage models10.1016/j.jpowsour.2021.230415 ↗
67. Current-induced transition from particle-byparticle to concurrent intercalation in phase-separating battery electrodes10.1038/nmat4084 ↗
68. 3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling
69. Multi-length scale microstructural design of lithium-ion battery electrodes for improved discharge rate performance10.1039/D1EE01388B ↗
70. Asynchronous-to-synchronous transition of Li reactions in solid-solution cathodes10.1021/acs.nanolett.2c01818 ↗
71. Visualization of inhomogeneous reaction distribution in the model LiCoO2 composite electrode of lithium ion batteries10.1021/acs.jpcc.6b12133 ↗
72. 3D operando imaging and quantification of inhomogeneous electrochemical reactions in composite battery electrodes10.1021/acs.jpclett.0c00876 ↗
73. Heterogeneous reaction activities and statistical characteristics of particle cracking in battery electrodes10.1021/acsenergylett.1c02135 ↗
74. Mechanical and electrochemical response of a LiCoO2 cathode using reconstructed microstructures10.1016/j.electacta.2015.12.224 ↗
75. Simulation of heat generation in a reconstructed LiCoO2 cathode during galvanostatic discharge10.1016/j.electacta.2013.03.132 ↗
76. High capacity garnet-based all-solid-state lithium batteries: Fabrication and 3D-microstructure resolved modeling10.1021/acsami.8b06705 ↗
77. Computational modeling of heterogeneity of stress, charge, and cyclic damage in composite electrodes of Li-ion batteries
78. Chemical, structural, and electronic aspects of formation and degradation behavior on different length scales of Ni‐Rich NCM and Li‐Rich HE‐NCM cathode materials in Li-ion batteries10.1002/adma.201900985 ↗
79. Extremely fast-charging lithium ion battery enabled by dual-gradient structure design10.1126/sciadv.abm6624 ↗
80. All-solid-state hybrid electrode configuration for high-performance all-solid-state batteries: Comparative study with composite electrode and diffusion-dependent electrode10.1016/j.jpowsour.2021.230736 ↗
81. Revisiting TiS2 as a diffusion-dependent cathode with promising energy density for all-solid-state lithium secondary batteries10.1016/j.ensm.2021.06.005 ↗
82. Diffusion-dependent graphite electrode for all-solid-state batteries with extremely high energy density10.1021/acsenergylett.0c01628 ↗