activity
20172022
most citedCalculating temperature-dependent properties of NdFeB permanent magnets by atomistic spin model simulations

55 citations · 82 across the 8 of their papers we have counts for

collaborators

14 papers

cs.LG20221 cited

AI enhanced finite element multiscale modelling and structural uncertainty analysis of a functionally graded porous beam

Da Chen, Nima Emami, Shahed Rezaei +5

The local geometrical randomness of metal foams brings complexities to the performance prediction of porous structures. Although the relative density is commonly deemed as the key…

cond-mat.mtrl-sci202224 cited

Phase-field modeling of paramagnetic austenite-ferromagnetic martensite transformation coupled with mechanics and micromagnetics

Dominik Ohmer, Min Yi, Oliver Gutfleisch +1

A three-dimensional phase-field model is proposed for simulating the magnetic martensitic phase transformation. The model considers a paramagnetic cubic austenite to ferromagnetic…

physics.data-an20211 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…

cond-mat.mtrl-sci2021

Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence

Jaber Rezaei Mianroodi, Shahed Rezaei, Nima H. Siboni +2

The elastic properties of materials derive from their electronic and atomic nature. However, simulating bulk materials fully at these scales is not feasible, so that typically homo…

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-ph20201 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…