https://ml-biomat.com Tutorials, research notes, and practical guides on ML and multiscale modeling for fiber-based biomaterials. en https://ml-biomat.com/posts/multiscale-modeling-biomaterials-intro/ https://ml-biomat.com/posts/multiscale-modeling-biomaterials-intro/ A practical overview of multiscale modeling approaches for fiber-based biomaterials: from molecular dynamics to continuum mechanics, with Python code examples. 2025-06-25T00:00:00+08:00 https://ml-biomat.com/posts/afm-force-curve-python/ https://ml-biomat.com/posts/afm-force-curve-python/ A step-by-step guide to processing AFM force curves in Python: baseline correction, contact point detection, adhesion force, and Young's modulus fitting with Hertz/Sneddon models. 2025-06-25T00:00:00+08:00 https://ml-biomat.com/posts/afm-force-curve-python-zh/ https://ml-biomat.com/posts/afm-force-curve-python-zh/ 手把手教你用Python处理AFM力曲线数据：基线校正、接触点检测、粘附力提取、Hertz模型拟合杨氏模量，含批量处理和常见坑点。 2025-06-25T00:00:00+08:00 https://ml-biomat.com/posts/multiscale-modeling-fiber-biomaterials-zh/ https://ml-biomat.com/posts/multiscale-modeling-fiber-biomaterials-zh/ 从分子动力学到连续介质力学，系统介绍多尺度模拟在纤维生物材料研究中的方法、工具和实战思路，包含Python代码示例。 2025-06-24T00:00:00+08:00 https://ml-biomat.com/posts/python-tools-materials-research/ https://ml-biomat.com/posts/python-tools-materials-research/ A curated guide to Python libraries for materials science: from data loading with ASE/pymatgen to ML with scikit-learn, plus practical AFM/SEM data analysis scripts. 2025-06-23T00:00:00+08:00 https://ml-biomat.com/posts/ml-predict-fiber-mechanics-zh/ https://ml-biomat.com/posts/ml-predict-fiber-mechanics-zh/ 手把手教你用机器学习预测纤维生物材料的力学性能：数据清洗、特征工程、模型选择、超参数调优、交叉验证和结果解释。 2025-06-22T00:00:00+08:00