S
Serkan Akkoyun
Researcher at Cumhuriyet University
Publications - 83
Citations - 800
Serkan Akkoyun is an academic researcher from Cumhuriyet University. The author has contributed to research in topics: Neutron & Artificial neural network. The author has an hindex of 10, co-authored 72 publications receiving 616 citations. Previous affiliations of Serkan Akkoyun include Ankara University.
Papers
More filters
Journal ArticleDOI
AGATA - Advanced GAmma Tracking Array
Serkan Akkoyun,A. Algora,B. Alikhani,F. Ameil,G. de Angelis,L. Arnold,L. Arnold,A. Astier,A. Atac,A. Atac,A. Atac,Y. Aubert,C. Aufranc,A. Austin,S. Aydin,F. Azaiez,S. Badoer,D. L. Balabanski,Diego Barrientos,G. Baulieu,R. Baumann,R. Baumann,D. Bazzacco,F.A. Beck,F.A. Beck,Thomas Beck,Piotr Bednarczyk,Marco Bellato,M. A. Bentley,G. Benzoni,R. Berthier,L. Berti,R. Beunard,G. Lo Bianco,B. Birkenbach,P. G. Bizzeti,A. M. Bizzeti-Sona,F. Le Blanc,José Blasco,N. Blasi,D. Bloor,C. Boiano,M. Borsato,D. Bortolato,A. J. Boston,H. C. Boston,P. Bourgault,P. Boutachkov,A. Bouty,A. Bracco,S. Brambilla,I.P. Brawn,A. Brondi,S. Broussard,B. Bruyneel,D. Bucurescu,I. Burrows,A. Bürger,A. Bürger,S. Cabaret,B. Cahan,Enrico Calore,F. Camera,A. Capsoni,F. Carrio,G. Casati,M. Castoldi,Bo Cederwall,J.-L. Cercus,V. Chambert,M. El Chambit,M. El Chambit,R. Chapman,L. Charles,L. Charles,Joël Chavas,E. Clément,P. Cocconi,S. Coelli,P. J. Coleman-Smith,A. Colombo,S.J. Colosimo,C. Commeaux,D. Conventi,Reynold J. Cooper,A. Corsi,A. Cortesi,L. Costa,F. C. L. Crespi,J.R. Cresswell,D. M. Cullen,D. Curien,D. Curien,A. Czermak,D. Delbourg,R. Depalo,T. Descombes,P. Desesquelles,P. Detistov,C. Diarra,F. Didierjean,F. Didierjean,Matthew Richard Dimmock,Q.T. Doan,C. Domingo-Pardo,Maria Doncel,F. Dorangeville,N. Dosme,Y. Drouen,G. Duchêne,G. Duchêne,B. Dulny,J. Eberth,P. Edelbruck,J. Egea,T. Engert,M. N. Erduran,S. Erturk,C. Fanin,S. Fantinel,E. Farnea,T. Faul,T. Faul,M. Filliger,M. Filliger,F. Filmer,Ch. Finck,Ch. Finck,A. Gadea,W. Gast,Angelo Geraci,J. Gerl,R. Gernhäuser,A. Giannatiempo,Agnese Giaz,L. Gibelin,A. Givechev,N. Goel,Vicente González,A. Gottardo,X. Grave,J. Gre¸bosz,R. Griffiths,A. N. Grint,P. Gros,Lázaro Guevara,M. Gulmini,Andreas Görgen,H.T.M. Ha,T. Habermann,L. J. Harkness,H. Harroch,K. Hauschild,C. He,A. Hernandez-Prieto,B. Hervieu,Herbert Hess,T. Hüyük,Elif Ince,Roberto Isocrate,G. Jaworski,G. Jaworski,A. Johnson,J. Jolie,P.M. Jones,Björn Jonson,Pankaj S. Joshi,D. S. Judson,A. Jungclaus,Mohammed Kaci,N. Karkour,M. Karolak,A. Kaşkaş,M. Kebbiri,R.S. Kempley,Anton Khaplanov,S. Klupp,M. Kogimtzis,I. Kojouharov,A. Korichi,W. Korten,Th. Kröll,R. Krücken,N. Kurz,B.Y. Ky,M. Labiche,X. Lafay,L. Lavergne,I.H. Lazarus,S. Leboutelier,F. Lefebvre,E. Legay,L. Legeard,Francesco Lelli,S. M. Lenzi,S. Leoni,A. Lermitage,D. Lersch,J. Leske,S. C. Letts,S. Lhenoret,R. M. Lieder,D. Linget,J. Ljungvall,A. Lopez-Martens,A. Lotode,S. Lunardi,A. Maj,J. van der Marel,Y. Mariette,N. Marginean,R. Marginean,G. Maron,A.R. Mather,W. Me¸czyński,V. Mendéz,P. Medina,P. Medina,B. Melon,R. Menegazzo,D. Mengoni,D. Mengoni,E. Merchan,L. Mihailescu,C. Michelagnoli,J. Mierzejewski,L. Milechina,B. Million,Krasimir Mitev,P. Molini,D. Montanari,S. Moon,F. Morbiducci,R. Moro,P.S. Morrall,O. Möller,A. Nannini,D. R. Napoli,L. Nelson,M. Nespolo,V.L. Ngo,M. Nicoletto,R. Nicolini,Y. Le Noa,P. J. Nolan,M. Norman,Johan Nyberg,A. Obertelli,A. Olariu,R. Orlandi,R. Orlandi,D. C. Oxley,C. S. Özben,M. Ozille,C. Oziol,E. Pachoud,E. Pachoud,M. Palacz,J. Palin,J. Pancin,C. Parisel,C. Parisel,P. Pariset,Gheorghe Pascovici,R. Peghin,Luna Pellegri,A. Perego,Sébastien Perrier,M. Petcu,P. Petkov,C. M. Petrache,E. Pierre,Norbert Pietralla,S. Pietri,M. Pignanelli,I. Piqueras,I. Piqueras,Zs. Podolyák,P. Le Pouhalec,J. Pouthas,D. Pugnére,V. F. E. Pucknell,Alberto Pullia,Begoña Quintana,R. Raine,G. Rainovski,L. Ramina,G. Rampazzo,G. La Rana,M. Rebeschini,F. Recchia,N. Redon,M. Reese,P. Reiter,P. H. Regan,Stefano Riboldi,M. Richer,M. Richer,M. Rigato,Susan Rigby,Giancarlo Ripamonti,A P Robinson,J. Robin,J. Robin,J. Roccaz,J. Ropert,B. Rossé,C. Rossi Alvarez,D. Rosso,B. Rubio,Dirk Rudolph,F. Saillant,Ertan Şahin,F. Salomon,M. D. Salsac,José Salt,G. Salvato,J.A. Sampson,Enrique Sanchis,C. Santos,C. Santos,H. Schaffner,M. Schlarb,D.P. Scraggs,D. Seddon,M. Şenyiğit,M.-H. Sigward,M.-H. Sigward,G. S. Simpson,J. Simpson,M. Slee,J. F. Smith,P. Sona,B. Sowicki,P. Spolaore,C. Stahl,T. Stanios,E. A. Stefanova,O. Stezowski,John Paul Strachan,G. Suliman,Pär-Anders Söderström,J. L. Tain,S. Tanguy,Stanislav Tashenov,Ch. Theisen,J. Thornhill,F. Tomasi,N. Toniolo,R. Touzery,B. Travers,A. Triossi,M. Tripon,K.M.M. Tun-Lanoë,M. Turcato,C. Unsworth,C. A. Ur,J. J. Valiente-Dobón,V. Vandone,Emanuele Vardaci,R. Venturelli,F. Veronese,Ch. Veyssiere,E. Viscione,R. Wadsworth,Philip M Walker,N. Warr,C. Weber,C. Weber,Dirk Weisshaar,D. Wells,Oliver Wieland,Alex Wiens,Glyn Wittwer,H. J. Wollersheim,F. Zocca,N. V. Zamfir,M. Zie¸bliński,Alessandro Zucchiatti +378 more
TL;DR: The Advanced GAmma Tracking Array (AGATA) as discussed by the authors is a European project to develop and operate the next generation gamma-ray spectrometer, which is based on the technique of energy tracking in electrically segmented high-purity germanium crystals.
Journal ArticleDOI
A study on ground-state energies of nuclei by using neural networks
TL;DR: In this paper, the authors used ANNs to obtain two-neutron and two-proton separation energies of nuclei and showed that the predictive power of ANN has been drawn from estimations for energies of Sr, Xe, Er and Pb isotopic chains which are not seen before by the network.
Journal ArticleDOI
An artificial neural network application on nuclear charge radii
TL;DR: Based on the outputs of ANN, a new simple mass-dependent nuclear charge radii formula has been estimated in this paper, which is useful for describing nuclear radii, binding energies and two-neutron separation energies of Sn isotopes.
Journal ArticleDOI
Estimation of fusion reaction cross-sections by artificial neural networks
TL;DR: In this article, the root mean square errors for fusion reaction were obtained as 18.5 and 110.4 mb for the training and test data, which correspond to 1.8% and 10.5% deviations from the experimental cross-section values, respectively.
Journal ArticleDOI
New Parameters for Nuclear Charge Radius Formulas
TL;DR: In this article, the N 1 = 3 -dependent formula has been proposed and discussed, which gives effective results for rms charge radius, the standard deviation in all formulas with new parameters are concentrated between 0.1 and 0.