1) Variational calculation of models of nuclear and neutron matter.
Nucl. Phys. A328, 113-126 (1979) (with V.R. Pandharipande and R.B. Wiringa).
2) Variational calculations of V-8 models of nuclear matter.
Nucl. Phys. A334, 217-228 (1980)
(with V.R. Pandharipande).
3) Phenomenological two-nucleon
interaction operator.
Nucl. Phys. A359 , 331-348 (1981) (with V.R. Pandharipande).
4) Variational calculations of realistic models of nuclear matter.
Nucl. Phys. A359, 349-364 (1981) (with V.R. Pandharipande).
5) Variational calculations of assymetric nuclear matter.
Nucl. Phys. A369, 470-482 (1981) (with V.R. Pandharipande).
6)
Calculation of high- order operator terms in variational many-body theories.
Anales de Fisica Serie A Vol. 81 Num. 1 (Especial) 39-45 (1985).
7) Analysis of (n,n) and (d,p) reactions on the same target using Phase-
Equivalent potentials.
Z. Phys. A. Atoms and Nuclei 321, 149-153 (1985) (with G. Pantis).
8) Microscopic calculation of the Enhancement factor in the electric
dipole sum rule.
Physics Letters B Vol.156, 277-282 (1985) (with A.Fabrocini, M. Viviani
and S.Fantoni).
9) MERLIN a portable system for multidimensional minimization.
Comp. Phys. Comm. 46(1987) 401(with G.A.Evangelakis,J.P.Rizos and I.N.Demetropoulos)
10) A theoretical model for the cathodoluminescense of granular phosphor
screens
Journal of Applied Physics 64(1988) 5106 (with G.E.Giakoumakis)
11) MCL - Optimization Oriented Programming Language
Comp. Phys. Comm.52 (1989) 223 (with C.S.Chassapis & D.G.Papageorgiou
)
12) MERLIN - 2.0 Enhanced and programmable version
Comp. Phys. Comm.52 (1989) 241 (with D.G.Papageorgiou & C.S.Chassapis)
13) Merlin 2.1 Double precision
Comp. Phys. Comm. 58(1990)119 (with D.G.Papageorgiou )
14) A theoretical model for the X-ray luminescense of granular phosphor
screens.
Journal of Applied Physics 69(1991)6607 (with G.E.Giakoumakis, M.C.Katsarioti
&G.Panayiotakis)
15) Nucleation field of the infinite ferromagnetic circular cylinder
at high temperature
Mathematical and computer modeling 16(1992) 59 ( with P.A. Voltairas
and C.V. Massalas )
16) Model calculations of doubly closed shell nuclei in cbf theory (I)
Nuclear Phys. A549 (1992) 439 (with G. Co', A. Fabrocini and S. Fantoni
)
17) Generalised resonance modes in Ferromagnetic Spheres
Int. Journal Eng. Sci. 31(1993) 1391 ( with P.A. Voltairas and C.V.
Massalas )
18)
An efficient method for calculating three-dimensional convolution type of integrals.
Comp. Phys. Commun.76(1993) 80 ( with D.G. Papageorgiou )
19) Modification of phonon spectral densities
of the (001) copper surface due to copper adatoms by molecular dynamics
simulation.
Surf. Sc. Letters 337 (1995)819 (with N. I. Papanicolaou and G. A.
Evangelakis)
20) How many Conformers of the 1,2,3-Propanetriol
Triacetate are present in Gas phase and in Aqueus Solution
Tetrahedron 52(1996)677 (with D.G. Papageorgiou , I.N. Demetropoulos
and P.T. Papadimitriou )
21) An efficient Chebychev-Lanczos Method
for obtaining Eigen Solutions of the Schroedinger Eq. on a grid
J. Comp. Phys.126 (1996)315-327 (with M. Braun, S A Sofianos, D.G.
Papageorgiou)
22) A relaxation method for non-local
and non-Hermitian operators
J. Comp. Phys. 126(1996)229-236 (with D.G. Papageorgiou , M. Braun
and S A Sofianos)
23) Artificial neural network methods
in quantum mechanics
Comput. Phys. Commun. 104(1997)1-14 ( with A. Likas and D. I. Fotiadis)
24) Artificial neural networks for solving
ordinary and partial differential equations.
IEEE Transactions on Neural Networks 9(1998)987-1000 (with A. Likas
and D. I. Fotiadis)
25) MERLIN-3.0 A multidimensional
optimization environment
Comput. Phys. Commun. 109(1998)227-249 (with D. G. Papageorgiou and
I. N. Demetropoulos) (Merlin user's
manual)
26) The Merlin Control Language for strategic
optimization
Comput. Phys. Commun. 109(1998)250-275 (with D. G. Papageorgiou and
I. N. Demetropoulos)
27)
Neural network training and simulation using a multidimensional optimization system.
International Journal of Computer Mathematics 67(1998)33-46 (with A.
Likas and D. A. Karras)
28) Importance of two-body correlations in the 4He molecules
Il Nuovo Cimento 113B(1998)561-573 (with M. Braun, S A Sofianos, D.G.
Papageorgiou)
29) Training reinforcement neurocontrollers
using the polytope algorithm
Neural Processing Letters 9(1999)119-127 (with A. Likas)
30) Neural Network methods for boundary
value problems with irregular boundaries.
IEEE Transactions on Neural Networks 11(2000)1041 (with A. Likas and
D. G. Papageorgiou)
31) Forbidden states and the three-body
bound state collapse
Physical Review C 63(2001) (with G. Pantis and S. A. Sofianos)
32) On the muon-nucleus integrals entering the neutrinoless .- . e- conversion rates
Journal of Physics G:Nucl. Part. Phys. 28 (2002) 2907-2920 (with T. S. Kosmas)
33) MERLIN a versatile optimization environment applied to the design
of metallic alloys and intermetallic compounds.
Computational Materials Science 28 (2003) 125-133
(With D.G. Papageorgiou, N.I. Papanicolaouc, G. Petsos, H.M. Polatoglou)
34) A portable decision making tool for
health professionals based on neural networks
Health Informatics Journal 9 (2003) 273-282
( with F. Vartziotis, D.I. Fotiadis, A. Likas)
35) Merlin-3.1.1 A new version of the
Merlin Optimization Environment
Computer Physics Communications 159 (2004) 70-71 (with D. G. Papageorgiou
and I. N. Demetropoulos)
36) PANMIN: Sequential and Parallel
Global Optimization Procedures with a variety of options for the
Local Search Strategy
Computer Physics Communications 159 (2004) 63-69 (with D. G. Papageorgiou
and F. V. Theos) PANMIN Manual
37) A Spatially Constrained
Mixture Model for Image Segmentation
IEEE Transactions on Neural Networks 16 (2005) 494-498
(with K. Blekas, A. Likas, N. P. Galatsanos)
38)
Neural Splines: Exploiting Parallelism for Function approximation
Using Modular Neural Networks
Neural, Parallel and Scientific Computations 13 (2005) 161-178
(with I. G. Tsoulos, A. Likas)
39)
Mixture Model Analysis of DNA Microarray Images
IEEE Transactions on Medical Imaging,
40)
Genetically controlled random search: a global optimization method for continuous multidimensional functions
Computer Physics Communications 174 (2006) 152-159
(with Ioannis G. Tsoulos)
41)
MinFinder: Locating all the local minima of a function
Computer Physics Communications 174 (2006) 166-179
(with Ioannis G. Tsoulos)
42)
Solving Differential equations with Genetic Programming
Genetic Programming & Evolvable Machines 7 (2006) 33-54
(with Ioannis G. Tsoulos)
43)
GenAnneal: Genetically modified Simulated Annealing
Computer Physics Communications 174 (2006) 846-851
(with Ioannis G. Tsoulos)
44)
A Global Optimization Approach to Neural Network Training .
Neural, Parallel & Scientific Computations 14 (2006) 231-240
(With C. Voglis)
45)
Mechanical properties of nano-grained Zr2Ni systems by molecular
dynamics simulations
Journal of Alloys and Compounds 434-435 (2007) 546-549
(With G.A. Evangelakis, D.G. Papageorgiou and Ch.E. Lekka)
46)
Design of Quantum Filters with Pre-determined Reflection and
Transmission Properties
Microelectronics Journal 38 (2007)235-244
(With S. A. Sofianos, G.J. Rampho, H. A. Donfack & H. Leeb)
47)
Newtonian clustering: An approach based on molecular dynamics
and global optimization
Pattern Recognition 40 (2007) 1734-1744
(With K. Blekas)
48)
Global minimization in few-body systems
Nuclear Physics, 790 (2007) 655-658 (with
C. Voglis, M.L. Lekala, G.J. Rampho and S.A. Sofianos)
49)
Stopping rules for box-constrained stochastic global optimization
Appl. Math. Comput. 197 (2008) 622-632
(with I. Tsoulos)
50)
GenMin: An enhanced genetic algorithm for global optimization
Computer Physics Communications 178 (2008)843-851,
(with I.G. Tsoulos)
51)
MinFinder v2.0: An improved version of MinFinder
Computer Physics Communications 179(2008)614, (with Ioannis Tsoulos)
52)
A numerical differentiation library exploiting parallel architectures
Computer Physics Communications 180(2009)1404-1415, (with C. Voglis, P.E. Hadjidoukas and D. G. Papageorgiou)
53)
Towards "Ideal Multistart". A stochastic approach for locating the minima of a continuous function inside a bounded domain
Appl. Math. Comput. 213(2009)216-229, (with C. Voglis)
54)
One-Dimensional Inverse Scattering Problem in Acoustics
Brazilian Journal of Physics (2011) 41, 248-257 (DOI 10.1007/s13538-011-0039-9)
(with D. Gerogiannis, S.A. Sofianos, G.A. Evangelakis)
55)
MEMPSODE: A global optimization software based on hybridization of
population-based algorithms and local searches
Computer Physics Communications 183 (2012) 1139 1154
(with C. Voglis, D. G. Papageorgiou, K.E. Parsopoulos, M. N. Vrahatis)
56)
Particle Swarm Optimization with Deliberate Loss of Information
Soft Computing 16 (2012)1373-1392 {(28 March 2012), pp. 1-20, doi:10.1007/s00500-012-0841-5}
(with C. A. Voglis, K. E. Parsopoulos)
57)
A Spectral Clustering Approach Based on
Newton's Equations of Motion
International Journal of Intelligent systems 28 (2013) 394-410
(with K. Blekas )
58)
A parallel hybrid optimization algorithm for fitting interatomic potentials
Applied Soft Computing 13 (2013) 4481-4492
(with C. Voglis, P.E. Hadjidoukas and
D. G. Papageorgiou)
59)
"Supporting adaptive and irregular parallelism for non-linear numerical optimization"
Applied Mathematics and Computation 231 (2014) 544-559
(with C. Voglis, P.E. Hadjidoukas, V. Dimakopoulos and
D. G. Papageorgiou)
60)
NDL-v2.0: Anew version of the numerical differentiation library for parallel architectures
Computer Physics Communications 185 (2014) 2217-2219
(with P. E. Hadjidoukas, P. Angelikopoulos, C. Voglis, D. G. Papageorgiou)
61)
p-MEMPSODE: Parallel and Irregular Memetic Global Optimization
Computer Physics Communications 197 (2015) 190-211
(with C. Voglis, P. E. Hadjidoukas,K.E. Parsopoulos, D. G. Papageorgiou and M.N. Vrahatis)
DOI link
62)
Systematic Construction of Neural Forms for Solving Partial Differential Equations Inside Rectangular Domains, Subject to Initial, Boundary and Interface Conditions
International Journal on Artificial Intelligence Tools 29 (2020) 2050009 (12 pages),
(with Pola Lydia Lagari, Lefteri H. Tsoukalas, and Salar Safarkhani)
63)
Variance Counter Balancing for Stochastic Large-scale Learning
International Journal on Artificial Intelligence Tools 29 (2020) 2050010 (10 pages),
(with Pola Lydia Lagari and Lefteri H. Tsoukalas)
64)
Functionally weighted neural networks: frugal models with high accuracy
SN Applied Sciences (2020) 2:1954 | https://doi.org/10.1007/s42452-020-03713-y
(with K. Blekas)
65)
A Hybrid Numerical-Experimental Method for Determining Thermal Conductivities
Journal of Heat Transfer, 2021 Vol. 143/ 011702-1,
(with G. A. Evangelakis, D. G. Papageorgiou, K. Prouskas, A..E. Zisopoulou)
66)
Graphene-Based Phase Change Composite Nano-Materials for Thermal StorageApplications
Energies 2022, 15, 1192.
https://doi.org/10.3390/en15031192
(with Tselepi, M.; Prouskas, C.; Papageorgiou, D.G.; Evangelakis, G.A.)
67)
Effect of fins and nanoparticles in the discharge performance of PCM thermal storage system with a multi pass finned tube heat exchange
Applied Thermal Engineering 212(2022) 118569
(with J. Pássaro, A.Rebola, L.Coelho, J.Conde, G.A.Evangelakis, C.Prouskas, D.G.Papageorgiou, A.Zisopoulou)
68)
Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning /
Applied Soft Computing,
Volume 142 (2023) 110331
(with D. G. Triantali and K.E. Parsopoulos)
Local copy
69)
SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning/
Software Impacts 17 (2023) 100526
(with D. G. Triantali and K.E. Parsopoulos)
Local copy
70)
Augmented neural forms with parametric condition-matching operators for solving ordinary differential equations /
Mach. Learn. Comput. Sci. Eng 1, 6 (2025) (with Adam D. Kypriadis, Aristidis Likas and Konstantinos E. Parsopoulos)
Local copy
71)
An enthalpy method for heat conduction in tube containing phase change material.
Thermal Science and Engineering. 2025; 8(1): 9781.
(with G. A. Evangelakis, D. G. Papageorgiou and C. Prouskas)
Local copy
72)
An Active-Set Algorithm for Convex Quadratic Programming Subject to Box Constraints
with Applications in Non-Linear Optimization and Machine Learning
(with K. Vogklis)
Local copy