Macciò D - Search Results

1

Platinum-Dysprosium Alloys as Oxygen Electrodes in Alkaline Media: An Experimental and Theoretical Study.

Milikić J, Nikolić N, Santos DMF, Macciò D, Saccone A, Alsaiari M, Jalalah M, Faisal M, Harraz FA, Li Y, Nassr AB, Pašti I, Šljukić B. Milikić J, et al. Among authors: maccio d. Nanomaterials (Basel). 2022 Jul 6;12(14):2318. doi: 10.3390/nano12142318. Nanomaterials (Basel). 2022. PMID: 35889543 Free PMC article.

2

Study of the in vitro corrosion behavior and biocompatibility of Zr-2.5Nb and Zr-1.5Nb-1Ta (at%) crystalline alloys.

Rosalbino F, Macciò D, Giannoni P, Quarto R, Saccone A. Rosalbino F, et al. Among authors: maccio d. J Mater Sci Mater Med. 2011 May;22(5):1293-302. doi: 10.1007/s10856-011-4301-z. Epub 2011 Apr 2. J Mater Sci Mater Med. 2011. PMID: 21461699

3

In vitro corrosion behaviour of Ti-Nb-Sn shape memory alloys in Ringer's physiological solution.

Rosalbino F, Macciò D, Scavino G, Saccone A. Rosalbino F, et al. Among authors: maccio d. J Mater Sci Mater Med. 2012 Apr;23(4):865-71. doi: 10.1007/s10856-012-4560-3. Epub 2012 Feb 5. J Mater Sci Mater Med. 2012. PMID: 22311078

4

The Ti-Mn system revisited: experimental investigation and thermodynamic modelling.

Khan AU, Brož P, Premović M, Pavlů J, Vřeštál J, Yan X, Maccio D, Saccone A, Giester G, Rogl P. Khan AU, et al. Among authors: maccio d. Phys Chem Chem Phys. 2016 Aug 17;18(33):23326-39. doi: 10.1039/c6cp04542a. Phys Chem Chem Phys. 2016. PMID: 27498605

5

Cu₃As: Uncommon Crystallographic Features, Low-Temperature Phase Transitions, Thermodynamic and Physical Properties.

Mödlinger M, Provino A, Solokha P, Caglieris F, Ceccardi M, Macciò D, Pani M, Bernini C, Cavallo D, Ciccioli A, Manfrinetti P. Mödlinger M, et al. Among authors: maccio d. Materials (Basel). 2023 Mar 21;16(6):2501. doi: 10.3390/ma16062501. Materials (Basel). 2023. PMID: 36984382 Free PMC article.

6

A comparative evaluation between new ternary zirconium alloys as alternative metals for orthopedic and dental prosthetic devices.

Shyti G, Rosalbino F, Macciò D, Scarabelli L, Quarto R, Giannoni P. Shyti G, et al. Among authors: maccio d. Int J Artif Organs. 2014 Feb;37(2):149-64. doi: 10.5301/ijao.5000287. Epub 2014 Mar 13. Int J Artif Organs. 2014. PMID: 24627169

7

Distribution-Preserving Stratified Sampling for Learning Problems.

Cervellera C, Maccio D. Cervellera C, et al. Among authors: maccio d. IEEE Trans Neural Netw Learn Syst. 2018 Jul;29(7):2886-2895. doi: 10.1109/TNNLS.2017.2706964. Epub 2017 Jun 9. IEEE Trans Neural Netw Learn Syst. 2018. PMID: 28613186

8

A Novel Approach for Sampling in Approximate Dynamic Programming Based on $F$ -Discrepancy.

Cervellera C, Maccio D. Cervellera C, et al. Among authors: maccio d. IEEE Trans Cybern. 2017 Oct;47(10):3355-3366. doi: 10.1109/TCYB.2017.2660533. Epub 2017 Feb 7. IEEE Trans Cybern. 2017. PMID: 28186920

9

An Extreme Learning Machine Approach to Density Estimation Problems.

Cervellera C, Maccio D. Cervellera C, et al. Among authors: maccio d. IEEE Trans Cybern. 2017 Oct;47(10):3254-3265. doi: 10.1109/TCYB.2017.2648261. Epub 2017 Jan 17. IEEE Trans Cybern. 2017. PMID: 28103570

10

F -Discrepancy for Efficient Sampling in Approximate Dynamic Programming.

Cervellera C, Maccio D. Cervellera C, et al. Among authors: maccio d. IEEE Trans Cybern. 2016 Jul;46(7):1628-39. doi: 10.1109/TCYB.2015.2453123. Epub 2015 Jul 29. IEEE Trans Cybern. 2016. PMID: 26241987

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