High-throughput screening of Ni-rich layered cathode materials for sodium-ion batteries based on machine learning
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OpenAlex topics: Advancements in Battery Materials · Advanced Battery Technologies Research · Extraction and Separation Processes
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References (51)
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1. A reflection on lithium-ion battery cathode chemistry10.1038/s41467-020-15355-0 ↗
2. Carbon materials for stable Li metal anodes: challenges, solutions, and outlook10.1002/cey2.147 ↗
3. Lithium battery chemistries enabled by solid-state electrolytes10.1038/natrevmats.2016.103 ↗
4. Towards greener and more sustainable batteries for electrical energy storage10.1038/nchem.2085 ↗
5. The path towards sustainable energy10.1038/nmat4834 ↗
6. Lithium batteries: status, prospects and future10.1016/j.jpowsour.2009.11.048 ↗
7. Recent progress in multivalent metal (Mg, Zn, Ca, and Al) and metal-ion rechargeable batteries with organic materials as promising electrodes10.1002/smll.201805061 ↗
8. Long-cycling lithium-oxygen batteries enabled by tailoring Li nucleation and deposition via lithiophilic oxygen vacancy in Vo-TiO2/Ti3C2Tx composite anodes10.1016/j.jechem.2021.07.008 ↗
9. Studies on palladium coated titanium foams cathode for Mg–H2O2 fuel cells10.1016/j.jpowsour.2012.01.140 ↗
10. Regulating solvation environment of Li ions via high donor number anions for high-performance Li-metal batteries
11. Dendrite-free lithium deposition enabled by interfacial regulation via dipole-dipole interaction in anode-free lithium metal batteries
12. Modulating Sand’s time by ion-transport-enhancement toward dendrite-free lithium metal anode10.1007/s12274-021-3872-3 ↗
13. High-capacity cathode material with high voltage for Li-ion batteries10.1002/adma.201705575 ↗
14. Recent progress of interface modification of layered oxide cathode material for sodium-ion batteries10.1002/elt2.31 ↗
15. Exploring Li substituted O3-structured layered oxides NaLixNi1/3−xMn1/3+xCo1/3−xO2(x=0.07, 0.13, and 0.2) as promising cathode materials for rechargeable Na batteries10.1016/j.elecom.2015.07.023 ↗
16. Manganese based layered oxides with modulated electronic and thermodynamic properties for sodium ion batteries10.1038/s41467-018-07646-4 ↗
17. A review of Ni-based layered oxides for rechargeable Li-ion batteries10.1039/C6TA07991A ↗
18. Layered cathode materials for lithiumion batteries: review of computational studies on LiNi1-x-yCoxMnyO2 and LiNi1-x-yCoxAlyO210.1021/acs.chemmater.9b04066 ↗
19. Cation-ordered Ni-rich positive electrode material with superior chemical and structural stability enabled by atomic substitution for lithium-ion batteries10.1016/j.cej.2023.147181 ↗
20. Structure and charge regulation strategy enabling superior cycling stability of Ni-rich cathode materials10.1021/acsami.3c15370 ↗
21. Enhancing surface oxygen retention through theory guided doping selection in Li1−xNiO2for next generation lithium-ion batteries10.1039/D0TA07706B ↗
22. Stabilization strategies for high-capacity NCM materials targeting for safety and durability improvements10.1016/j.etran.2023.100233 ↗
23. Applying machine learning to rechargeable batteries: from the microscale to the macroscale10.1002/anie.202107369 ↗
24. Big data creates new opportunities for materials research: a review on methods and applications of machine learning for materials design10.1016/j.eng.2019.02.011 ↗
25. Machine learning in materials science10.1002/inf2.12028 ↗
26. L. Ghadbeigi, T.D. Spark, J.K. Harada, , Data-mining approach for battery materials. IEEE Conference on Technologies for Sustainability. Ogden, USA, July 30-August 01, 2015.10.1109/SusTech.2015.7314353 ↗
27. The inorganic crystal structure data base10.1021/ci00038a003 ↗
28. AFLOWLIB.ORG: a distributed materials properties repository from high-throughput ab initio calculations10.1016/j.commatsci.2012.02.002 ↗
29. The materials project: a materials genome approach to accelerating materials innovation10.1063/1.4812323 ↗
30. Interpretable learning of voltage for electrode design of multivalent metal-ion batteries10.1038/s41524-022-00858-9 ↗
31. Machine learning for optimised and clean Li-ion battery manufacturing: revealing the dependency between electrode and cell characteristics10.1016/j.jclepro.2021.129272 ↗
32. Systematic analysis of the impact of slurry coating on manufacture of Li-ion battery electrodes via explainable machine learning10.1016/j.ensm.2022.06.036 ↗
33. Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries10.1039/C8RA07112H ↗
34. Performance analysis of Na-ion batteries by machine learning10.1016/j.jpowsour.2022.232126 ↗
35. Maximizing the energy density and stability of Ni-rich layered cathode materials with multivalent dopants via machine learning
36. Machine-learning approach for predicting the discharging capacities of doped lithium nickel−cobalt−manganese cathode materials in Li-ion batteries10.1021/acscentsci.1c00611 ↗
37. Structure and electrochemistry of B doped Li(Li0.2Ni0.13Co0.13Mn0.54)1-xBxO2 as cathode materials for lithium-ion batteries10.1016/j.jpowsour.2016.07.064 ↗
38. Nb-doping in LiNi0.8Co0.1Mn0.1O2 cathode material: Effect on the cycling stability and voltage decay at high rates10.1016/j.jtice.2019.02.006 ↗
39. Enhancing surface stability of LiNi0.8Co0.1Mn0.1O2 cathode with hybrid core-shell nanostructure induced by high-valent titanium ions for Li-ion batteries at high cut-off voltage10.1016/j.jallcom.2020.155099 ↗
40. The effect of gradient boracic polyanion-doping on structure, morphology, and cycling performance of Ni-rich LiNi0.8Co0.15Al0.05O2 cathode material10.1016/j.jpowsour.2017.11.020 ↗
41. Sodium doping derived electromagnetic center of lithium layered oxide cathode materials with enhanced lithium storage10.1016/j.nanoen.2021.106900 ↗
42. A synergistic effect of Na+ and Al3+ dual doping on electrochemical performance and structural stability of LiNi0.88Co0.08Mn0.04O2 cathodes for Li-ion batteries10.1021/acsami.1c16042 ↗
43. Towards rational design of high performance Ni-rich layered oxide cathodes: the interplay of borate-doping and excess lithium10.1016/j.jpowsour.2019.05.048 ↗
44. Structural, electrochemical and Li-ion transport properties of Zr-modified LiNi0.8Co0.1Mn0.1O2 positive electrode materials for Li-ion batteries10.1016/j.jpowsour.2018.10.094 ↗
45. Cr-doped Li-rich nickel cobalt manganese oxide as a positive electrode material in Li-ion batteries to enhance cycling stability10.1021/acsaem.0c01235 ↗
46. Understanding and Working with Keras
47. Matminer: an open source toolkit for materials data mining10.1016/j.commatsci.2018.05.018 ↗
48. Combinatorial screening for new materials in unconstrained composition space with machine learning10.1103/PhysRevB.89.094104 ↗
49. Superior performances of b-doped LiNi0.84Co0.10Mn0.06O2 cathode for advanced libs10.1038/s41598-019-54115-z ↗
50. Improvement of electrochemical reversibility of the ni-rich cathode material by gallium doping10.1016/j.jpowsour.2019.227337 ↗
51. Zinc-doped high-nickel, low-cobalt layered oxide cathodes for high-energy-density lithium-ion batteries