Latest Research in Extraction and Separation Processes

Top Research Topics in Extraction and Separation Processes

• Extraction and Separation Processes — 11 papers
• Advanced Battery Materials and Technologies — 5 papers
• Machine Learning in Materials Science — 5 papers
• Artificial Intelligence — 2 papers
• Materials Science — 2 papers
• Photorefractive and Nonlinear Optics — 1 papers
• Thermodynamic and Structural Properties of Metals and Alloys — 1 papers
• Chemical Physics — 1 papers
• Advanced ceramic materials synthesis — 1 papers
• Membrane-based Ion Separation Techniques — 1 papers

Highest-Cited Papers

1. A Descriptor for Non‐Arrhenius Ion Transport Enables Design of Sulfide Superionic Conductors
2. A Descriptor for Non‐Arrhenius Ion Transport Enables Design of Sulfide Superionic Conductors
3. Screening Lithium-Ion Conductors Based on Local and Global Topology
4. Selective Lithium Recovery from Spent Lithium Iron Phosphate Batteries Used in Solar Energy Storage
5. Electrical conductivity and Li self-diffusion in near-stoichiometric Li(Nb,Ta)O3 solid solutions up to 1000 °C
6. Study of the Process of Lithium Leaching from Black Mass of Spent Lithium-Ion Batteries Using the Method of Regression Analysis
7. Machine Learning‐Driven Design of Electrolytes and Interfaces for Solid‐State Lithium Batteries: Progress and Outlook
8. Kinetic Analysis of Simultaneous Leaching of Lithium, Iron, and Phosphorus from LiFePO4 Cathodes of Spent Batteries
9. Accelerating battery research with an interoperable interface between FINALES and Kadi4Mat
10. $Ab$ $initio$ Study of Substitutional Defects in Li$_{3}$OCl Solid Electrolyte for Li-ion Batteries
11. A Density-Matrix Framework for Electronic-Structure Analysis of Electrolytes for Lithium Batteries
12. Selective Lithium Pre-Leaching from Pyrolyzed Industrial Lithium-Ion Battery Black Masses Using Dilute Organic and Inorganic Acids
13. Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
14. Room-Temperature Hydrometallurgical Recovery of Lithium and Iron from Spent LiFePO4 Batteries via Selective Leaching and Oxalic Acid Precipitation
15. Sustainable Regeneration of Graphite from Spent Lithium-Ion Batteries through Machine Learning and Life Cycle Assessment
16. Accelerated stable structure prediction of Li-intercalated bilayer graphene using a data-efficient deep learning framework
17. Selective lithium leaching from industrial mixed lithium-ion battery waste in an HCl–H2O2 system: Factor interactions, model development, and process optimization
18. NEW CRITICAL IMPURITY DENSITY IN METAL-INSULATOR TRANSITION, OBTAINED IN VARIOUS N(P)- TYPE DEGENERATE ALKALI METALS, BEING JUST THAT OF THE CARIERS, LOCALIZED IN EXPONENTIAL BAND TAILS. (I)
19. Artificial Intelligence for Functional Battery Materials: From Multimodal Mechanism Mining to Closed‐Loop Autonomous Optimization
20. Prototype-guided transfer of sparse literature knowledge for electrolyte additive discovery