1 citations · 2 across the 3 of their papers we have counts for
3 papers
physics.data-an2021★ 1 cited
A deep learned nanowire segmentation model using synthetic data augmentation
Binbin Lin, Nima Emami, David A Santos +3
Automatized object identification and feature analysis of experimental image data are indispensable for data-driven material science; deep-learning-based segmentation algorithms ha…
physics.app-ph2020
Mapping Humidity-dependent Mechanical Properties of a Single Cellulose Fibre
Julia Auernhammer, Tom Keil, Binbin Lin +4
Modelling of single cellulose fibres is usually performed by assuming homogenous properties, such as strength and Young s modulus, for the whole fibre. Additionally, the inhomogene…
physics.comp-ph2020★ 1 cited
Humidity Influence on Mechanics and Failure of Paper Materials: Joint Numerical and Experimental Study on Fiber and Fiber Network Scale
Binbin Lin, Julia Auernhammer, Jan-Lukas Schäfer +4
Paper materials are natural composite materials and well-known to be hydrophilic unless chemical and mechanical processing treatments are undertaken. The relative humidity impacts…