有限扩散：透过边界
论文图型参考 · 原创模型演示。
合成示例 · 非实验数据
放大图样 ↗① 源码与 CSV 解压到同一文件夹。
② 请 AI 运行 render_existing.py，得到 PNG、SVG 和 PDF；再核对并换成你的数据。
源码和 CSV 解压到同一文件夹即可重画。图件和提示词可分别下载。
你也可以用自己的话说。
查看请求
请读取绘图包里的 README 和 metadata.json，按说明在项目独立环境中运行包内已有源码，重画这份演示数据。不要重新生成或改写演示 CSV。收到我的文件后，先核对列名、单位、归一化基准与测试条件，再在副本中适配。逐圈容量、库伦效率与容量保持率用散点，不加连线；连续电压和光谱用无点实线，数据坐标四周保留框线。全电池保持率需明确参考圈、参考容量和相同工况，缺项先补齐；Li‖Cu 不强加保持率。不要继承演示条件、补造数据或静默覆盖旧图；回复只给结果位置和必要的下一步。
论文依据、公式与适用范围
原创模型演示，不复现论文数据；图型参考与公式依据分别注明。
Probing process kinetics in batteries with electrochemical impedance spectroscopy ↗
Figures 1, 3, 7–8; linearised charge-transfer equation
Z=Rs+(1/R+Q(jω)^α)^−1 Z_D=Rd*tanh(sqrt(jωτd))/sqrt(jωτd)
Passive lumped circuit, not a unique battery mechanism. Q is a capacitance only when α=1. Finite-diffusion low-frequency limits depend on the declared boundary. The complete equal-scale Nyquist and frequency record are retained alongside any declared zoom. No Kramers–Kronig or measured-data fit is claimed.
输入与使用边界
data.csv, model.json
输入格式、单位和条件见 README 与 metadata.json。示例是合成数据，不能用于论文实验结果。
Declared analytic parameters in scientific_basis.parameters; no experimental cell or material is assigned.
示例的模型与依据
按声明的教学模型生成。参数为自设，引用支持公式或测试方法，不是从论文复制的实测数字。
计算关系
- Z=Rs+(1/R+Q(jω)^α)^−1
- Z_D=Rd*tanh(sqrt(jωτd))/sqrt(jωτd)
使用边界
- Passive lumped circuit, not a unique battery mechanism. Q is a capacitance only when α=1. Finite-diffusion low-frequency limits depend on the declared boundary. The complete equal-scale Nyquist and frequency record are retained alongside any declared zoom. No Kramers–Kronig or measured-data fit is claimed.
模型来源
- Probing process kinetics in batteries with electrochemical impedance spectroscopy
Equivalent-circuit / relaxation representations; small-signal, steady-state constraints.
相关资源
来源与引用
原创合成示例，数据与本版源码包含在绘图包内；未使用论文数据或原图
VoltPeer. 有限扩散：透过边界. Synthetic teaching delivery, version 1.0.0; data generator 1.0.0.BIB ↓ RIS ↓
VoltPeer maintainers · v1.0.0 · MIT
文件、校验与检查状态
文件和格式已检查；模型测试范围见适配说明。格式检查不代表科学审核。
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