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A battery is a galvanic cell that is used as a source of electrical power for specific applications. Modern batteries exist in a multitude of forms to accommodate various applications, from tiny button batteries such as those that power wristwatches to the very large batteries used to supply backup energy to municipal power grids. Some batteries are designed for single-use applications and cannot be recharged (primary cells), while others are based on conveniently reversible cell reactions that...
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Interfacial electrochemical methods focus on the phenomena occurring at the boundary between an electrode and a solution, as opposed to bulk methods that concentrate on the solution's overall properties. These interfacial methods are classified as either static or dynamic based on the presence of a nonzero current in the electrochemical cell and the consistency of analyte concentrations. Static methods, such as potentiometry, measure the cell's potential without any significant current...
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Electrogravimetric analysis measures the weight of an analyte deposited electrolytically onto a suitable working electrode. This method involves applying a potential to a pre-weighed electrode submerged in a solution, which results in the desired substance being deposited through reduction at the cathode or oxidation at the anode. The electrode's weight is recorded after deposition, and the difference in weight gives the analyte's weight in the solution.
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Spontaneous Chemical Reactions
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Electrodeposition is a technique used to separate an analyte from interferents by electrochemical processes. Here, the analyte is a metal ion that can be deposited on an electrode immersed in the sample solution. The electrochemical setup consists of an anode and a cathode. When an electric current is applied to the setup, oxidation occurs at the anode. At the cathode, which consists of a large metal surface, metal ions undergo reduction and deposit onto the surface.
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AI-Driven Big Data Frameworks for Electrode-Electrolyte Interphases in Batteries.

Abdullah Bin Faheem1, Zengyu Han2, Dongshuang Wu2

  • 1School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore, Singapore.

Advanced Materials (Deerfield Beach, Fla.)
|January 10, 2026
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Summary
This summary is machine-generated.

Artificial intelligence (AI) and big data are revolutionizing rechargeable battery design by transforming electrode-electrolyte interphases (EEI). These strategies enable data-driven discovery of advanced battery materials for improved performance and longevity.

Keywords:
artificial intelligencebattery interphasesdata‐driven optimizationexperiment‐simulation integrationhigh‐throughput methodsmaterials informatics

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Data Science

Background:

  • Electrode-electrolyte interphases (EEI) are critical for rechargeable battery performance and longevity.
  • Understanding and designing EEI is complex, requiring advanced computational and experimental approaches.

Purpose of the Study:

  • To provide a comprehensive perspective on AI and big data strategies for transforming EEI understanding and design.
  • To highlight the pivotal role of these strategies in enhancing battery performance and longevity.

Main Methods:

  • Uniting high-throughput experimentation and high-throughput computation (HTC) for diverse dataset generation.
  • Utilizing AI-orchestrated workflows and machine learning models for data analysis and prediction.
  • Integrating molecular-level EEI understanding with macroscale device performance.

Main Results:

  • AI and big data enable revelation of mechanistic foundations of interfacial processes.
  • Prediction of interphase behavior and data-driven discovery of optimal material combinations are achieved.
  • Intelligent, data-centric frameworks facilitate rational engineering of next-generation battery systems.

Conclusions:

  • AI and big data offer transformative potential for rechargeable battery development.
  • Addressing challenges in data standardization and interoperability is crucial for future progress.
  • Intelligent frameworks are key to advancing battery technology through rational design.