Search Results - "Tsopanidis, Stylianos"

A graph-based workflow for extracting grain-scale toughness from meso-scale experiments by Tsopanidis, Stylianos, Osovski, Shmuel

“…[Display omitted] •A novel machine learning computational framework that computes meso- and micro-scale material toughness is introduced.•The framework…”
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Toward quantitative fractography using convolutional neural networks by Tsopanidis, Stylianos, Moreno, Raúl Herrero, Osovski, Shmuel

“…•Typological segmentation of brittle fracture surfaces using pretrained CNN.•Area fraction of intergranular and transgranular fracture is measured…”
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Baselines for Lifetime of Organic Solar Cells by Gevorgyan, Suren A., Espinosa, Nieves, Ciammaruchi, Laura, Roth, Bérenger, Livi, Francesco, Tsopanidis, Stylianos, Züfle, Simon, Queirós, Sara, Gregori, Alberto, Benatto, Gisele Alves dos Reis, Corazza, Michael, Madsen, Morten V., Hösel, Markus, Beliatis, Michail J., Larsen-Olsen, Thue Trofod, Pastorelli, Francesco, Castro, António, Mingorance, Alba, Lenzi, Veniero, Fluhr, Daniel, Roesch, Roland, Maria Duarte Ramos, Marta, Savva, Achilleas, Hoppe, Harald, Marques, Luís Silvino Alves, Burgués, Ignasi, Georgiou, Efthymios, Serrano-Luján, Lucia, Krebs, Frederik C.

“…The process of accurately gauging lifetime improvements in organic photovoltaics (OPVs) or other similar emerging technologies, such as perovskites solar cells…”
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Unsupervised machine learning in fractography: Evaluation and interpretation by Tsopanidis, Stylianos, Osovski, Shmuel

“…Modern computer vision and machine learning techniques, when applied in Fractography bare the potential to automate much of the failure analysis process and…”
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Role of length-scale in machine learning based image analysis of ductile fracture surfaces by Zheng, Xinzhu, Battalgazy, Bekassyl, Molkeri, Abhilash, Tsopanidis, Stylianos, Osovski, Shmuel, Srivastava, Ankit

“…Recent advancements in machine learning (ML) techniques have opened up new opportunities for using image analysis to solve materials science and engineering…”
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A graph based workflow for extracting grain-scale toughness from meso-scale experiments by Tsopanidis, Stylianos, Osovski, Shmuel

“…We introduce a novel machine learning computational framework that aims to compute the material toughness, after subjected to a short training process on a…”
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Toward quantitative fractography using convolutional neural networks by Tsopanidis, Stylianos, Moreno, Raúl Herrero, Osovski, Shmuel

“…Engineering Fracture Mechanics Volume 231, 15 May 2020, 106992 The science of fractography revolves around the correlation between topographic characteristics…”
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