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Python for SECM: Simulation, Approach-Curve Kinetic Fitting, and Interactive 3D Mapping

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Delivery Mode
Virtual / Online
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Level
Moderate
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Duration
3 Days(60-90 each day)
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Certificate
Mentor Based
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Language
English
Rating
5 Stars
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About Workshop

This three-day workshop introduces participants to Scanning Electrochemical Microscopy (SECM) for high-resolution analysis of localized electrode kinetics and surface reactivity. Participants will learn microelectrode behaviour, SECM operating modes, approach-curve analysis, kinetic parameter extraction, and 2D/3D spatial mapping using Python and Google Colab.
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Aim

To develop practical skills in SECM theory, electrochemical kinetic analysis, spatial-data processing, and scientific visualization using free and open-source computational tools.
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What Participants Will Learn

  • Understand SECM instrumentation, probe geometries, and operating principles.
  • Study ultra-microelectrode diffusion and diffusion-limited current.
  • Analyse positive, negative, and SG-TC feedback modes.
  • Fit approach curves and estimate electron-transfer rate constants.
  • Process raw SECM scans using tilt correction, filtering, and interpolation.
  • Generate publication-ready 2D and 3D electrochemical activity maps.
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Structure

📅 Day 1: Principles of SECM and Microelectrode Behavior

Core Objective: Master the theoretical foundations of ultra-microelectrodes, SECM hardware configuration, and fundamental mass-transport dynamics.
  • Introduction to Scanning Electrochemical Microscopy and its applications
  • SECM hardware setup, bipotentiostat operation, and probe geometries
  • Principles and behavior of ultra-microelectrodes (UMEs)
  • Steady-state diffusion at UMEs compared with planar electrodes
  • Mass-transport dynamics around microelectrode probes
  • Understanding and quantifying the RG tip ratio
  • Determining diffusion-limited currents, IL
🛠️ Hands-on Lab: Simulate steady-state microelectrode diffusion profiles and examine how probe geometry influences mass transport using Google Colab. 🧰 Tools Covered: Python, NumPy, Matplotlib, Google Colab

📅 Day 2: Operational Modes and Quantitative Kinetics Fitting

Core Objective: Quantify heterogeneous electron-transfer kinetics by analyzing feedback mechanisms, operational modes, and experimental approach curves.
  • Introduction to major SECM operational modes
  • Positive feedback over conductive and reactive surfaces
  • Negative feedback over insulating and inactive surfaces
  • Substrate-Generator/Tip-Collector (SG-TC) operating mode
  • Mapping localized catalytic activity for OER, HER, and ORR reactions
  • Approach-curve analysis for extracting kinetic parameters
  • Determining heterogeneous electron-transfer rate constants, k0
🛠️ Hands-on Lab: Perform nonlinear least-squares fitting on experimental SECM approach curves to extract heterogeneous electron-transfer kinetic constants using Google Colab. 🧰 Tools Covered: SciPy, SymPy, Pandas, Google Colab

📅 Day 3: High-Resolution Spatial Mapping and Advanced Data Analytics

Core Objective: Process, correct, and transform raw SECM spatial-grid scans into publication-ready 2D and 3D electrochemical activity maps.
  • Distance-control mechanisms in high-resolution SECM measurements
  • Shear-force feedback, contact modes, and probe-positioning strategies
  • Understanding spatial-resolution limits and scanning parameters
  • Building structured data-processing pipelines for SECM grid scans
  • Automated plane-subtraction algorithms for surface-tilt correction
  • Spatial noise reduction, filtering, and interpolation strategies
  • Converting raw spatial coordinates into interpretable kinetic maps
  • Generating publication-ready 2D heatmaps and interactive 3D surfaces
🛠️ Hands-on Lab: Build an automated pipeline to process raw 2D and 3D spatial-grid scans, remove surface tilt, reduce noise, and generate interactive electrochemical activity heatmaps using Google Colab. 🧰 Tools Covered: Plotly, Scikit-image, Python, Google Colab

Important Dates

Registration Ends

4:30 PM

Workshop Dates

2026-08-10
5:30 PM
5:30 PM
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What You Will Gain

Sample Certificate
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Outcomes

After completing the workshop, participants will be able to:

  • Interpret microelectrode and SECM current responses.
  • Simulate diffusion and probe-geometry effects.
  • Analyse experimental approach curves.
  • Extract heterogeneous electron-transfer kinetics.
  • Clean and process spatial electrochemical datasets.
  • Create interactive heatmaps and surface-activity visualizations.
  • Apply SECM analysis to catalysis, corrosion, energy storage, sensors, coatings, and biological interfaces.
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Who Should Attend

  • PhD scholars and postdoctoral researchers
  • Electrochemists and analytical chemists
  • Materials and nanotechnology researchers
  • Battery, fuel-cell, and electrocatalysis researchers
  • Corrosion and coatings professionals
  • Sensor and biosensor researchers
  • Scientists interested in Python-based electrochemical data analysis

Umapriya

Department of AI

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