Výsledky vyhledávání - "D. G. Sangiovanni"

Akademický článek

Predicting elastic properties of hard-coating alloys using ab-initio and machine learning methods

Autor: H. Levämäki, F. Tasnádi, D. G. Sangiovanni, L. J. S. Johnson, R. Armiento, I. A. Abrikosov

Publikováno v: npj Computational Materials, Vol 8, Iss 1, Pp 1-10 (2022)

Abstract Accelerated design of hard-coating materials requires state-of-the-art computational tools, which include data-driven techniques, building databases, and training machine learning models. We develop a heavily automated high-throughput workfl

Externí odkaz: https://doaj.org/article/e4a5fd12658c4ffaac543590b5c76934

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Akademický článek

Toughness enhancement in hard ceramic thin films by alloy design

Autor: H. Kindlund, D. G. Sangiovanni, L. Martínez-de-Olcoz, J. Lu, J. Jensen, J. Birch, I. Petrov, J. E. Greene, V. Chirita, L. Hultman

Publikováno v: APL Materials, Vol 1, Iss 4, Pp 042104-042104 (2013)

Hardness is an essential property for a wide range of applications. However, hardness alone, typically accompanied by brittleness, is not sufficient to prevent failure in ceramic films exposed to high stresses. Using VN as a model system, we demonstr

Externí odkaz: https://doaj.org/article/c810d27e99654a3780ba3efc02461cbc

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Semi-Empirical Force-Field Model for the Ti1−xAlxN (0 ≤ x ≤ 1) System

Autor: G. A. Almyras, D. G. Sangiovanni, K. Sarakinos

Publikováno v: Materials
Volume 12
Issue 2
Materials, Vol 12, Iss 2, p 215 (2019)

We present a modified embedded atom method (MEAM) semi-empirical force-field model for the Ti1&minus
xAlxN (0 &le
x &le
1) alloy system. The MEAM parameters, determined via an adaptive simulated-annealing (ASA) minimization scheme, opt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::34e804297ddf226bb52bef20e2f68868

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Semi-Empirical Force-Field Model for the Ti

Autor: G A, Almyras, D G, Sangiovanni, K, Sarakinos

Publikováno v: Materials

We present a modified embedded atom method (MEAM) semi-empirical force-field model for the Ti1−xAlxN (0 ≤ x ≤ 1) alloy system. The MEAM parameters, determined via an adaptive simulated-annealing (ASA) minimization scheme, optimize the model’s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::a2c4015383a7f570576eee6efb335ccc
https://pubmed.ncbi.nlm.nih.gov/30634593

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