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Sandfeld, Stefan
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1

Accurate distances measures and machine learning of the tex..:

Iraki, Tarek ; Morand, Lukas ; Link, Norbert..
Modelling and Simulation in Materials Science and Engineering.  32 (2024)  5 - p. 055016 , 2024
Link: https://doi.org/10.1088/..
 
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2

Microprocesses of Agglomeration, Hetero-coagulation and Par..:

, In: Multifunctional Ceramic Filter Systems for Metal Melt Filtration; Springer Series in Materials Science,
Nicklas, Jan ; Ditscherlein, Lisa ; Roy, Shyamal.. - p. 361-386 , 2024
Link: https://doi.org/10.1007/..
 
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3

Combining unsupervised and supervised learning in microscop..:

Nguyen, Binh Duong ; Steiner, Johannes ; Wellmann, Peter.
MRS Communications.  , 2024
Link: https://doi.org/10.1557/..
 
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4

Deep learning of crystalline defects from TEM images: a sol..:

Govind, Kishan ; Oliveros, Daniela ; Dlouhy, Antonin..
Machine Learning: Science and Technology.  5 (2024)  1 - p. 015006 , 2024
Link: https://doi.org/10.1088/..
 
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5

Efficient surrogate models for materials science simulation..:

Nguyen, Binh Duong ; Potapenko, Pavlo ; Demirci, Aytekin...
Machine Learning with Applications.  16 (2024)  - p. 100544 , 2024
Link: https://doi.org/10.1016/..
 
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6

Materials Data Science: Introduction to Data Mining, Machin.. 

The Materials Research Society Series
Sandfeld, Stefan - 1st ed. 2024 . , 2024
Link: https://doi.org/10.1007/..
 
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7

A Numerical Investigation of Heat Generation Due to Dissipa..:

, In: Multifunctional Ceramic Filter Systems for Metal Melt Filtration; Springer Series in Materials Science,
Koster, Michael ; Schmiedel, Alexander ; Wagner, Ruben... - p. 679-695 , 2024
Link: https://doi.org/10.1007/..
 
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8

Advanced Deep Learning Architectures and Techniques:

, In: The Materials Research Society Series; Materials Data Science,
Sandfeld, Stefan - p. 533-567 , 2023
Link: https://doi.org/10.1007/..
 
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9

Exploratory Data Analysis:

, In: The Materials Research Society Series; Materials Data Science,
Sandfeld, Stefan - p. 179-206 , 2023
Link: https://doi.org/10.1007/..
 
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10

DISO: A Domain Ontology for Modeling Dislocations in Crysta..:

, In: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing,
Ihsan, Ahmad Zainul ; Fathalla, Said ; Sandfeld, Stefan - p. 1746-1753 , 2023
Link: https://dl.acm.org/doi/1..
 
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11

Commonly Encountered Distributions in Materials Science and..:

, In: The Materials Research Society Series; Materials Data Science,
Sandfeld, Stefan - p. 207-231 , 2023
Link: https://doi.org/10.1007/..
 
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12

Automated analysis of X-ray topography of 4H-SiC wafers: Im..:

Nguyen, Binh Duong ; Roder, Melissa ; Danilewsky, Andreas...
Journal of Materials Research.  38 (2023)  5 - p. 1254-1265 , 2023
Link: https://doi.org/10.1557/..
 
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13

Dislocation Motion Induced by Thermally Driven Phase Transf..:

Strobl, Rachel ; Budnitzki, Michael ; Sandfeld, Stefan
PAMM.  23 (2023)  1 - p. , 2023
Link: https://doi.org/10.1002/..
 
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14

From Data Science to Materials Data Science:

, In: The Materials Research Society Series; Materials Data Science,
Sandfeld, Stefan - p. 15-30 , 2023
Link: https://doi.org/10.1007/..
 
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15

Data-mining of in-situ TEM experiments: Towards understandi..:

Steinberger, Dominik ; Issa, Inas ; Strobl, Rachel...
Computational Materials Science.  216 (2023)  - p. 111830 , 2023
Link: https://doi.org/10.1016/..
 
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