Title:	Supervised Machine Learning in NIE Analysis
DNr:	NAISS 2025/22-1728
Project Type:	NAISS Small Compute
Principal Investigator:	Jiayi Wu <jiayi.wu@kemi.uu.se>
Affiliation:	Uppsala universitet
Duration:	2026-01-07 – 2026-08-01
Classification:	10307
Keywords:

Abstract

Preliminary template matching method successfully slices the raw signal for integration. However, the numerical integration of the sliced current spike is sensitive to the precise definition of the baseline and the integration boundaries. I plan to develop a supervised machine learning model, to train and validate a regression model that accurately predicts the integral charge of a nano-impact spike from CA data.