Impact of training and validation data on the performance of neural network potentials: A case study on carbon using the CA-9 dataset

Autor: Daniel Hedman, Tom Rothe, Gustav Johansson, Fredrik Sandin, J. Andreas Larsson, Yoshiyuki Miyamoto

Publikováno v: Carbon Trends, Vol 3, Iss , Pp 100027- (2021)

The use of machine learning to accelerate computer simulations is on the rise. In atomistic simulations, the use of machine learning interatomic potentials (ML-IAPs) can significantly reduce computational costs while maintaining accuracy close to tha

Externí odkaz: https://doaj.org/article/615594ec73e84241b8121878a041b0df

Development of a Robot-Based Multi-Directional Dynamic Fiber Winding Process for Additive Manufacturing Using Shotcrete 3D Printing

Autor: Norman Hack, Mohammad Bahar, Christian Hühne, William Lopez, Stefan Gantner, Noor Khader, Tom Rothe

Publikováno v: Fibers, Vol 9, Iss 6, p 39 (2021)

The research described in this paper is dedicated to the use of continuous fibers as reinforcement for additive manufacturing, particularly using Shotcrete. Composites and in particular fiber reinforced polymers (FRP) are increasingly present in conc

Externí odkaz: https://doaj.org/article/7de6807c6c95442e9eeac71d510b9d38

Assembly of Compliant Structures with Autonomous Industrial Mobile Manipulators (AIMM) Using an End Effector with Active Deformation Compensation for the Assembly of Flaps

Autor: Tom Rothe, Christian Hühne, Erik Kappel, Maximilian Neitmann

Publikováno v: Machines; Volume 10; Issue 5; Pages: 291
Machines 10 (2022) 5, 291.-https://doi.org/10.3390/machines10050291--http://www.mdpi.com/journal/machines--http://www.bibliothek.uni-regensburg.de/ezeit/?2704328--2075-1702

Composite structures in aeroplanes are often thin-walled and lightweight, resulting in significant compliance, which presents a handling and assembly challenge due to the associated part deformations. In order to counteract these deformations, the pa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee1faee9772b5de964fff7dd83782be4
https://elib.dlr.de/186354/

Development of a Robot-Based Multi-Directional Dynamic Fiber Winding Process for Additive Manufacturing Using Shotcrete 3D Printing

Autor: William Lopez, Noor Khader, Mohammad Bahar, Tom Rothe, Christian Hühne, Stefan Gantner, Norman Hack

Publikováno v: Fibers
Volume 9
Issue 6
Fibers, Vol 9, Iss 39, p 39 (2021)
Fibers 2021, 9 (6), 39; https://doi.org/10.3390/fib9060039--http://www.mdpi.com/journal/fibers/--http://www.bibliothek.uni-regensburg.de/ezeit/?2723193--2079-6439

The research described in this paper is dedicated to the use of continuous fibers as reinforcement for additive manufacturing, particularly using Shotcrete. Composites and in particular fiber reinforced polymers (FRP) are increasingly present in conc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9da2b8131c1abf751c574aa4880cf11
https://doi.org/10.3390/fib9060039

Impact of training and validation data on the performance of neural network potentials: A case study on carbon using the CA-9 dataset

Autor: J. Andreas Larsson, Tom Rothe, Yoshiyuki Miyamoto, Fredrik Sandin, Daniel Hedman, Gustav Johansson

Publikováno v: Carbon Trends, Vol 3, Iss, Pp 100027-(2021)

The use of machine learning to accelerate computer simulations is on the rise. In atomistic simulations, the use of machine learning interatomic potentials (ML-IAPs) can significantly reduce computational costs while maintaining accuracy close to tha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::172aa321a0f3cdcf7e0c073ec272c26a
https://doi.org/10.1016/j.cartre.2021.100027