Zobrazeno 1 - 10
of 1 717
pro vyhledávání: '"P, Granberg"'
In this work, we propose a new approach based on positron annihilation spectroscopy to estimate the concentration of vacancy-type defects induced by self-ion irradiation in tungsten at room temperature, 500, and 700{\deg}C. Using experimental and Two
Externí odkaz:
http://arxiv.org/abs/2411.13480
Autor:
Wu, Jintong, Balbuena, Juan-Pablo, Hu, Zhiwei, Jantunen, Ville, Barthe, Marie-France, Caturla, Maria Jose, Granberg, Fredric
Irradiation of materials in nuclear test reactors and power plants is known to alter the properties of the material. The irradiation event happening at pico- or nanosecond time scales are affecting the evolution and properties of the material on macr
Externí odkaz:
http://arxiv.org/abs/2409.15856
Machine learning (ML) has become widely used in the development of interatomic potentials for molecular dynamics simulations. However, most ML potentials are still much slower than classical interatomic potentials and are usually trained with near eq
Externí odkaz:
http://arxiv.org/abs/2408.15779
We demonstrate a practical way to perform decomposition of the elasto-plastic deformation directly from atomistic simulation snapshots. Through molecular dynamics simulations on a large single crystal, we elucidate the intricate process of converting
Externí odkaz:
http://arxiv.org/abs/2310.12923
Autor:
Mason, Daniel R., Nguyen-Manh, Duc, Lindblad, Victor W., Granberg, Fredric G., Lavrentiev, Mikhail Yu.
We describe the parameterization of a tungsten-hydrogen empirical potential designed for use with large-scale molecular dynamics simulations of highly irradiated tungsten containing hydrogen isotope atoms, and report test results. Particular attentio
Externí odkaz:
http://arxiv.org/abs/2305.10814
Autor:
Vanja Granberg, Alessandra Laforgia, Marta Forte, Daniela Di Venere, Gianfranco Favia, Chiara Copelli, Alfonso Manfuso, Giuseppe Ingravallo, Antonio d’Amati, Saverio Capodiferro
Publikováno v:
Surgeries, Vol 5, Iss 3, Pp 694-718 (2024)
Background: Metastatic tumors of the oro-facial tissuesare rare, with an incidence ranging between 1% and 8% of all oral malignant tumors. Generally reported with a peak of incidence in the 5–7th decades but possibly occurring at any age, metastase
Externí odkaz:
https://doaj.org/article/707a7f4781384244a15b15387adba767
Autor:
Anna Inguanzo, Rosaleena Mohanty, Konstantinos Poulakis, Daniel Ferreira, Barbara Segura, Franziska Albrecht, J-Sebastian Muehlboeck, Tobias Granberg, Henrik Sjöström, Per Svenningsson, Erika Franzén, Carme Junqué, Eric Westman
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Parkinson’s disease (PD) is clinically heterogeneous, which suggests the existence of subtypes; however, there has been no consensus regarding their characteristics. This study included 633 PD individuals across distinct cohorts: unmedicat
Externí odkaz:
https://doaj.org/article/e3023f14f88547a8b4160c8fa6025208
Publikováno v:
Cogent Education, Vol 11, Iss 1 (2024)
In the present study we investigate one 7th-grade mathematics teacher’s eight-month long implementation of a comprehensive multi-approach formative assessment practice. Based on an analysis of classroom observations, interviews and written teacher
Externí odkaz:
https://doaj.org/article/9ee0790cc41b4e8dafe180263627c403
Publikováno v:
Scandinavian Journal of Disability Research, Vol 26, Iss 1, Pp 550–558-550–558 (2024)
Employment is vital for the quality of life and societal integration of disabled people, who often encounter barriers. Programs like Sweden’s state-owned company Samhall are designed to level the playing field. Yet, whether discrimination persists
Externí odkaz:
https://doaj.org/article/8c4856c6abc24accb342124a4b9f8ebe
Autor:
Karthik, Enamundram Naga, Kerbrat, Anne, Labauge, Pierre, Granberg, Tobias, Talbott, Jason, Reich, Daniel S., Filippi, Massimo, Bakshi, Rohit, Callot, Virginie, Chandar, Sarath, Cohen-Adad, Julien
Segmentation of Multiple Sclerosis (MS) lesions is a challenging problem. Several deep-learning-based methods have been proposed in recent years. However, most methods tend to be static, that is, a single model trained on a large, specialized dataset
Externí odkaz:
http://arxiv.org/abs/2210.15091