Abstract
The variational method is known as a powerful and preferred technique to find both analytical and numerical solutions for numerous forms of anharmonic oscillator potentials. In the present study, we considered certain conditions for the choice of the trial wave function. The current form of the trial wave function is based on the possible polynomial solutions of the Schrödinger equation. The advantage of our modified variational method is its ability to reduce the calculation steps and hence computation time. Also, we compared the results provided by our modified method with the results obtained by different methods in general but particularly Numerov method for the same problem.
1 Introduction
The precise solution of the Schrodinger equation is possible only in few cases such as infinite square well and harmonic oscillator potentials. However, the complete spectra of the anharmonic oscillators are not fully solved yet. In most cases, the conventional approximate methods discussed in most standard textbooks are either unsatisfactory or computationally complicated. Several techniques of approximations have been used over the years to determine the spectral energies of various anharmonic oscillators. These approximations lead to developing many models for the study of many problems in physics which are tedious computationally. However, we observed some very simple and effective models in literature for the same purpose [1].
Here, we present some insight from available literature about variational principle together with appropriate approximations for the electron-electron interactions which are the basis for most practical approaches to solving the Schrödinger equation in condensed matter physics.
For the generalized anharmonic oscillator in D dimensions, Popescu et al. [2, 3] used approximation method along with variational method for the calculation of the ground energy state and first even-parity excited state of a single-well and found improved results. The energy levels of one dimensional quartic anharmonic oscillator were obtained by using neural network system [4], however, the analytical solutions were given by the triconfluent Heun functions [5]. Later on, Popescu et al. [6] considered a different form of the successive variational method based on a solution of a differential equation. They successfully combined the variational method which uses variational global parameter with the finite element method for the study of the generalized anharmonic oscillator in D dimensions [7]. Further, Cooper et al. [8] in another work used a newly suggested algorithm of Gozzi, Reuter and, Thacker to determine the excited states of one-dimensional systems. They determined approximated eigenvalues and eigenfunctions of the anharmonic oscillator. While Karl & Novikov [9] calculated the energies of excited states for two- and three-particle systems with arbitrary blocking potential within the framework of a simple variational approach. In anotherwork, Mei, W. N. [10] used variational method and analytical wave functions which have extremely accurate expectation values for the quartic or sextic oscillators. The Variational Method was also applied within the context of Super-symmetric Quantum Mechanics [11, 12, 13] to provide information to Morse and Hulthén potentials for several diatomic molecules and the results were in agreement with established results.
Borges et al. [14] suggested a method for constructing trial eigenfunctions for excited states to be used in the variational method. This method is a generalization of the one that uses super-potential to obtain the trial functions for the ground state. The first four eigenvalues for a quartic double-well potential were calculated at different values of the potential parameter.
By means of a collocation approach based on little Sinc functions (LSF), Amore and Fernández [15] obtained accurate eigenvalues and eigenfunctions of the stationary Schrödinger equation for systems of coupled oscillators. Gribov and Prokof’eva [16] proposed a variational method of the solutions of anharmonic problems in the theory of molecular vibrations in curvilinear coordinates taking into account the kinematic anharmonicity. VEGA and FLORES [17] used the variational method and super-symmetric quantum mechanics to calculate in an approximate way, the eigenvalues, eigenfunctions and wave functions at the origin of the Cornell potential. Payandeh and Mohammadpour used the Delta method to evaluate the energy of ground and excited stationary states in quantum mechanics. The advantage of the Delta method compared to the variational method is its simplicity and reduction of the calculation procedures [18].
P. M. Gaiki and P. M. Gade [19] demonstrated how a freeware, SAGE, can be employed for the variational solution of simple and complex Hamiltonians in one dimension to estimate the ground state energy. FM Fernández and J Garcia [20] considered Rayleigh-Ritz variational computations with non-orthogonal basic sets with the correct asymptotic behavior. This approach is illustrated by the construction of appropriate basis sets for one-dimensional models such as the two double-well oscillators recently examined by other authors. The convergence rate of the variational method is considerably greater than that of orthogonal.
S. Khuri and A.Wazwaz [21] applied an amended variational scheme for the solution of a second-order nonlinear boundary value problem. However, the variational iteration method was used for solving linear and nonlinear ODEs and scientific models with variable coefficients [22, 23] and the asymptotic iteration method was applied to certain quasinormal modes and non Hermitian systems [24].
In this paper, we start by formulating the problem in Sec. 2. Then, we show in Sec. 3 and 4, that under certain conditions, the harmonic plus linear term and the sextic anharmonic potentials energy is easily solvable by the variational method. In Sec. 5, we explore the non-polynomial exactly solvable quartic potential. The development of this variational method is explained in Sec. 6. Sec. 7 is devoted to some applications and discussions about anharmonic potentials. Finally, the conclusion of the work is presented in Sec. 8.
2 Problem formulation
2.1 Schrödinger equation
Let us consider the one-dimensional time-independent Schrödinger equation:
Where En is the system’s energy and ψn is the wave function (nth eigenstates). V (x) = α1x + α2x2 + α3x3 + α4x4 + · · · + αN xN,
and
and i = 1, 2, . . . N
The Hamiltonian system is consequently:
Under certain conditions applied on the parameters of the potentials as described in earlier work of Maiz et al. [26], some potentials are exactly solvable. However, if there is no exact solution, then we applied an approximation approach like perturbation theory, variational and WKB methods and numerical method such as Numerov method, Airy function approach, and the asymptotic iteration method. The variational method (VM) will be modified to carry out calculations in this work.
To explore the conditions of the existence of polynomial solutions, we use the trial normalized wavefunctionsin the form of:
The expectation value of the energy is E = 〈ΨHΨ〉 . The substitution of the wave function Ψn leads to the following relation:
Applying the Hamiltonian gives:
Eq. 7 states the conditions of the polynomial solution existence; it depends on the potential energy expression.
2.2 The variational method review
The variational method provides a simple way to place an upper bound on the ground state energy of any quantum system and it is particularly useful when trying to demonstrate that existence of bound states. In some cases, it can also be used to estimate higher energy levels. We start with a quantum system with Hamiltonian H, which has a discrete spectrum:
Let’s consider a family of normalized states,
The minimum value of E(α) which is E(αmin) with
offers the upper bound E0 ≤ E(αmin). This is the soul of the variational method. But the variational method does not give the difference between the founded and exact values of energies ΔE = E(αmin)− E0. This difference disappears when the chosen trial wave function coincides with the exact problem solution. This means that the choice of the trial wave function is decisive and, in this case, the variational method gives remarkably accurate results.
3 The harmonic oscillator potential
Considering the well-known case of harmonic oscillator potential energy plus linear term v (y) = b1y + b2y2, the coefficient b1 is real and b2 is positive.
The node-less eigenfunction (ground state) is given by ψ0 (y) = Af0 (y) exp (−h (y)), with f0 (y) = 1 and h (y) =
Note that for
and the eigenenergy value is constant and equal to the exact value of energy
however, the ground state function is ψ0 (y) = A exp
These results were found to be the same as previously published for the same potential energy and level [27].
4 The closely solvable sextic anharmonic oscillator potential energy
Considering the case of sextic anharmonic oscillator potential v (y) = b1y + b2y2 + b3y3 + b4y4 + b5y5 + b6y6, the coefficients bi<6 is real and b6 is positive.
The node-less eigenfunction (ground state) is given by ψ0 (y) = Af0 (y) exp (−h (y)), with f0 (y) = 1 and h (y) =
and the two conditions:
The expectation value of energy remains Ee =
5 The quartic anharmonic potential
Studying the case of quartic anharmonic oscillator potential v (y) = b1y + b2y2 + b3y3 + b4y4, the coefficients bi<4 is real and b4 is positive. It is well known that this potential has no exactly polynomial solutions [26]. To estimate the energy expectation value, we apply the normalized wave function: ψn (y) = Afn (y) exp (−h (y)).
The node-less eigenfunction is given by
For
and the two conditions:
The expectation value of energy is
Equations (11-12) show the expressions of the coefficients a3 and a4 as a function of the coefficients a1, a2 and the two fists potential energy parameters b1 and b2. It should be noted here that the coefficients a1 and a2 are the acceptable solutions of equations (13-14), they are a function of the potential’s parameters. The minimum of E0 in the vicinity of the coefficients ai(i=1,2,3,4) values give a good estimation of the ground state energy value. This minimum is noted Evm and equal to
where the associated wave function is φ (y) = A exp (−h (y)), with
6 The variational method development
As we noted in section 2.a, using the Lagrange interpolation, a given potential energy v (y) may be approached with high accuracy to a polynomial potential energy vn (y) of degree n [25]:
For non-exactly solvable energy potential, we considered just the fourth firsts terms for a given potential energy, v4 (y), which is the corresponding quartic anharmonic potential energy. As mentioned in the preceding paragraph, for the ground state energy the expectation value of energy is:
The coefficients ai(i=1,2,3,4) were derived in paragraph 4. Using the variational method for the given potential energy v (y), the expectation energy level value is E =
To calculate the ground state energy value E for the given potential energy v (y), we solve this previous system for the coefficients
7 Results and discussions
We applied our developed variational method (DVM) to study three classes of potential designed by the following eight potentials energies:
The well-known harmonic plus linear term potential constitutes the first class; it is exactly solvable potential as described in paragraph 3. It was chosen to make the first test to our developed variational method. The second class is presented by the four sextic anharmonic potentials, while the last quartic formed the last class of potential energy. Profiles of these potentials energy are shown in Figure 1.

Studied potentials energy profiles
7.1 Harmonic plus linear term
The harmonic plus linear potential energy is expressed by v1 (y) = y + y2, it is exactly solvable as shown in paragraph 3. The ground state energy value is
Physical parameters for the potential energy v1 (y) = y + y2
potential energy | polynomial coefficients | ground state energy values | 105ΔE/E | ||||
---|---|---|---|---|---|---|---|
v1 (y) | y + y2 | Evm | Enm | Ee | 1.3 | ||
v e(y) | y + y2 | a1 = 0.5 | a2 = 0.5 | 0.749999 | 0.750009 | 0.750 |
7.2 Sextic potential energy
Some sextic potential energy is exactly solvable. This depends on relations between the potential energy parameters [26]. Sextic potential were found reliable as a potential model for quark confinement in quantum chromodynamics [28]. Furthermore, this model is very important when trying to understand many theories including molecular spectroscopy, quantum-tunneling time, and field theories [29]. In paragraph 4, the study of the sextic anharmonic potential energy demonstrate that under some conditions on its parameters, it may be exactly solvable. In general, we applied numerical and approximated methods to solve the Schrödinger equation. To verify our developed variational method for the non-exactly solvable anharmonic sextic potential energy, we propose to study four examples of potential energy. We start with the symmetric sextic potential as v2 (y) = x2 + x4 + x6. The corresponding exactly solvable potential energy is:
and Ee = 1.431127. For the potential energy v2 (y), the associated normalized wavefunction is φ (y) = A exp (−h (y)), with
Furthermore, the obtained ground state energy value is Evm = 1.615237 while, Numerov method offers Enm = 1.614889. These values agree very closely and the relative energy difference is a less than 10−3. Physical parameters for the potential energy v2 (y) = y2 + y4 + y6 are collected in Table 2.
Physical parameters for the potential energy v2 (y) = y2 + y4 + y6
potential energy | polynomial coefficients | ground state energy values | ||||||
---|---|---|---|---|---|---|---|---|
v2 (y) | Evm | Enm | Ee | 2 | ||||
ve(y) | a1 = 0 | a3 = 0 | 1.615237 | 1.614889 | 1.431127 |
Secondly, we studied the anharmonic sextic potential v3 (y) = y2 − y3 + y4 − y5 + y6. The corresponding potential energy exactly solvable is:
where the exact ground state energy value is Ee = 1.308642 and the associated wavefunction:
For the potential energy v3 (y), the associated normalized wavefunction is: φ (y) = A exp (−h (y)), with h (y) =
Furthermore, the obtained ground state energy value is Evm = 1.472721 while, Numerov method offers Enm = 1.471141. These values agree very closely and the relative energy difference is approximately equal to 10-3. Table 3. shows these parameters.
Physical parameters for the potential energy v3 (y) = x2 − x3 + x4 − x5 + x6
potential energy | polynomial coefficients | ground state energy values | ||||||
---|---|---|---|---|---|---|---|---|
v3 (y) | Evm | Enm | Ee | 1 | ||||
ve(y) | 1.472721 | 1.471141 | 1.308642 |
Thirdly, we explore the anharmonic sextic potential defined by: v4 (y) = y + y2 + y3 + y4 + y5 + y6. The corresponding potential energy exactly solvable is:
where the exact ground state energy value is Ee = 1.049869. Additionally, the obtained ground state energy value is equal to Evm = 1.230 although, the numerical Numerov method gives: Enm = 1.220. The relative energy difference is in the range of 10-3 (see Table 4).
Physical parameters for the potential energy v4 (y) = y + y2 + y3 + y4 + y5 + y6
potential energy | polynomial coefficients | ground state energy values | ||||||
---|---|---|---|---|---|---|---|---|
v4 (y) | Evm | Enm | Ee | 2 | ||||
v e(y) | 1.223769 | 1.220971 | 1.049869 |
Finally, we investigate the anharmonic sextic potential: v5 (y) = −y + 2y2 − 3y3 + 4y4 − 5y5 + 6y6. The corresponding potential energy exactly solvable as:
where the exact ground state energy value is Ee = 1.812756. Additionally, the obtained ground state energy value is Evm = 2.045453 although, the numerical Numerov method gives Enm = 2.045895. The relative energy difference between these results is less than 10-3. The results are collected in Table 5.
Physical parameters for the potential energy v5 (y) = −y + 2y2 − 3y3 + 4y4 − 5y5 + 6y6
potential energy | polynomial coefficients | ground state energy values | ||||||
---|---|---|---|---|---|---|---|---|
v5 (y) | Evm | Enm | Ee | 1 | ||||
ve(y) | 2.045453 | 2.043194 | 1.812756 |
7.3 Quartic potential energy
Anharmonic octic potential energy has no exactly polynomials solutions. For this class of potentials, we start by studying the given potential energy: v6 (y) = y + y2+y3+y4. The corresponding potential energy is the exactly solvable potential as:
where the exact ground state energy value is Ee = 1.049869897. Moreover, the developed variational and the Numerov methods evaluate, the ground state energy as Evm = 1.034086 and Enm = 1.034035 respectively. The relative energy difference between these results is less than 10−4. We have shown our findings in Table 6.
Physical parameters for the potential energy v6 (y) = y + y2 + y3 + y4
potential energy | polynomial coefficients | ground state energy values | ||||||
---|---|---|---|---|---|---|---|---|
v6 (y) | Evm | Enm | Ee | 1 | ||||
ve(y) | 1.035545 | 1.034035 | 1.049869897 |
The non-exactly polynomials solutions potential energy: v7 (y) = y2 + y3 + y4 is also investigated. ve (y) = y2 + 0.999999y3+0.999999y4+
Physical parameters for the potential energy v7 (y) = y2 + y3 + y4
potential energy | polynomial coefficients | ground state energy values | ||||||
---|---|---|---|---|---|---|---|---|
v7 (y) | Evm | Enm | Ee | 5 | ||||
ve(y) | 1.311036 | 1.31026 | 1.308642 |
Finally, we explore the non-exactly polynomials solutions potential energy given by: v8 (y) = y3 + y4. Here the corresponding potential energy is found to be:
The exact ground state energy value is closed to Ee = 0.912247.Moreover, the use of approximated and numerical methods offers the two following values for the ground
state energy: Evm = 0.905322 and Enm = 0.905322. Physical parameters values are collected in Table 8.
Physical parameters for the potential energy v8 (y) = y3 + y4
potential energy | polynomial coefficients | ground state energy values | ||||||
---|---|---|---|---|---|---|---|---|
v8 (y) | Evm | Enm | Ee | 2 | ||||
v e(y) | 0.907941 | 0.905322 | 0.912247 |
8 Conclusion
The polynomial solutions of the Schrödinger equation for some anharmonic potential energy helped us to our modified and improved variational method. This study shows that under appropriate conditions on the potential’s parameters, the choice of the suitable trial wave function becomes easy. Focusing on the anharmonic potential problem, we have also presented a comparison between the solutions provided by this developed variational method and the results for the same problem by different methods such as the Numerov method. The obtained results for the ground state energy values are found to be accurate. Finally, our results agreed well with those available in literature [27, 30, 31]. We believe that this study will encourage the researchers and scientists for further investigation of general polynomial potentials.
Acknowledgement
The authors would like to express their gratitude to King Khalid University, Saudi Arabia for providing administrative and technical support.
References
[1] Graen T, Grubmüller H. NuSol – Numerical solver for the 3D stationary nuclear Schrödinger equation. Comput Phys Commun. 2016;198:169-78.10.1016/j.cpc.2015.08.023Search in Google Scholar
[2] Popescu VA, Popescu IM, Rusescu MC. Application of the successive variational method to the D-dimensional generalized anharmonic oscillator. Phys Lett A. 1988;132(8,9):423-8.10.1016/0375-9601(88)90506-3Search in Google Scholar
[3] Popescu V. Application of an improved variational method to the D-dimensional generalized anharmonic oscillator. Phys Lett Sect A Gen At Solid State Phys. 2002;299(2-3):197-200.10.1016/S0375-9601(02)00653-9Search in Google Scholar
[4] Mutuk H. Energy levels of one-dimensional anharmonic oscillator via neural networks. Mod Phys Lett A. 2019;34(12):1950088.10.1142/S0217732319500883Search in Google Scholar
[5] Dong Q, Sun GH, Aoki MA, Chen CY, Dong SH. Exact solutions of a quartic potential. Mod Phys Lett A. 2019;34(26):1-10.10.1142/S0217732319502080Search in Google Scholar
[6] Popescu V. A new form of the successive variational method for the D-dimensional generalized anharmonic oscillator. Phys Lett A. 1994; 193:431-6.10.1016/0375-9601(94)90535-5Search in Google Scholar
[7] Popescu V. Combination of the variational and finite element methods for the D-dimensional generalized anharmonic oscillator. Phys Lett Sect A Gen At Solid State Phys. 2002;297(5-6):33843.10.1016/S0375-9601(02)00372-9Search in Google Scholar
[8] Cooper F, Dawson J, Shepard H. SUSY-based variational method for the anharmonic oscillator. Phys Lett A. 1994;187(2):140-4.10.1016/0375-9601(94)90051-5Search in Google Scholar
[9] Karl G, Novikov VA. Variational estimates of the energy of excited states. JETP. 1995;80(5):783-92.Search in Google Scholar
[10] Mei WN. Combined variational-perturbative approach to anharmonic oscillator problems. Int J Math Educ Sci Technol. 1998;29(6):875-93.10.1080/0020739980290609Search in Google Scholar
[11] Filho ED, Ricotta RM. Morse potential energy spectra through the variational method and supersymmetry. Phys Lett Sect A Gen At Solid State Phys. 2000; 269:269-76.10.1016/S0375-9601(00)00267-XSearch in Google Scholar
[12] Filho ED, Ricotta RM. Supersymmetry, Variational Method and Hulthen Potential. Mod Phys Lett A. 1995;10:1613-8.10.1142/S0217732395001733Search in Google Scholar
[13] Drigo Filho E, Ricotta RM. Induced variational method from supersymmetric quantum mechanics and the screened Coulomb potential. Mod Phys Lett A. 2000;15(19):1253-9.10.1142/S0217732300001092Search in Google Scholar
[14] Borges GR, Dutra A de S, Drigo E, Ruggiero JR. Variational method for excited states from supersymmetric techniques. Can J Phys. 2003;81(11):1283-91.10.1139/p03-096Search in Google Scholar
[15] Amore P, Fernández FM. Variational collocation for systems of coupled anharmonic oscillators. Phys Scr. 2010;81(4).10.1088/0031-8949/81/04/045011Search in Google Scholar
[16] Gribov LA, Prokof’eva NI. Variational solution of the problem of anharmonic vibrations of molecules in the central force field. J Struct Chem. 2015;56(4):752-4.10.1134/S0022476615040198Search in Google Scholar
[17] Vega A, Flores J. Heavy quarkonium properties from Cornell potential using variational method and supersymmetric quantum mechanics. Pramana –J Phys. 2016;87(5):73.10.1007/s12043-016-1278-7Search in Google Scholar
[18] Payandeh F, Mohammadpour T. Calculation of the Approximate Energy of Ground and Excited Stationary States in Quantum Mechanics Using Delta Method. J Appl Math Phys. 2016;4(January):130-9.10.4236/jamp.2016.41016Search in Google Scholar
[19] Gaiki PM, Gade PM. Using a variational method to obtain the ground state of the quantum Hamiltonian: symbolic computation approach. Eur J Phys. IOP Publishing; 2019; 40:15806.10.1088/1361-6404/aaf115Search in Google Scholar
[20] Fernández FM, Garcia J. Rayleigh-Ritz variational method with suitable asymptotic behaviour. Cent Eur J Phys. 2014;12(8):554-8.10.2478/s11534-014-0477-4Search in Google Scholar
[21] Khuri SA, Wazwaz AM. A variational approach to a BVP arising in the modelling of electrically conducting solids. Cent Eur J Eng. 2013;3(1):106-12.10.2478/s13531-012-0046-9Search in Google Scholar
[22] Wazwaz AM. The variational iteration method for solving linear and nonlinear ODEs and scientific models with variable coefficients. Cent Eur J Eng. 2014;4(1):64-71.10.2478/s13531-013-0141-6Search in Google Scholar
[23] Vahabzadeh A, Fakour M, Ganji DD, Rahimipetroudi I. Analytical accuracy of the one dimensional heat transfer in geometry with logarithmic various surfaces. Cent Eur J Eng. 2014;4(4):341-51.10.2478/s13531-013-0176-8Search in Google Scholar
[24] Özer O, Roy P. The asymptotic iteration method applied to certain quasinormal modes and non Hermitian systems. Cent Eur J Phys. 2009;7(4):747-52.10.2478/s11534-009-0007-ySearch in Google Scholar
[25] Berrut J-P, Trefethen LN. Barycentric Lagrange Interpolation. SIAM Rev. 2004;46(3):501-17.10.1137/S0036144502417715Search in Google Scholar
[26] Maiz F, Alqahtani MM, Al Sdran N, Ghnaim I. Sextic and decatic anharmonic oscillator potentials: Polynomial solutions. Phys B Condens Matter. Elsevier Ltd; 2018; 530:101-5.10.1016/j.physb.2017.11.010Search in Google Scholar
[27] Maiz F. Development of the perturbation theory using polynomial solutions. J Math Phys. 2019; 60:12103.10.1063/1.5043487Search in Google Scholar
[28] Quigg C, Rosner JL. Quantum mechanics with applications to quarkonium. Phys Rep. 1979;56(4):167-235.10.1016/0370-1573(79)90095-4Search in Google Scholar
[29] Bender CM, Hook DW. Quantum tunneling as a classical anomaly. J Phys A Math Theor. 2011;44(37).10.1088/1751-8113/44/37/372001Search in Google Scholar
[30] Sdran N Al, Maiz F. Airy function approach and Numerov method to study the anharmonic oscillator potentials V (x) = Ax2α + Bx2 AIP Adv. 2016; 6:65323.10.1063/1.4954923Search in Google Scholar
[31] Maiz F. An investigation of some quantum systems using modified quantization rule form. Phys B Condens Matter. 2014; 449:104-8.10.1016/j.physb.2014.05.020Search in Google Scholar
© 2020 F.Maiz, published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
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- Numerical Simulation of Laser Welding Dissimilar Low Carbon and Austenitic Steel Joint
- Assessment of Mechanical and Tribological Properties of Diamond-Like Carbon Coatings on the Ti13Nb13Zr Alloy
- Characteristics of selected measures of stress triaxiality near the crack tip for 145Cr6 steel - 3D issues for stationary cracks
- Assessment of technical risk in maintenance and improvement of a manufacturing process
- Experimental studies on the possibility of using a pulsed laser for spot welding of thin metallic foils
- Angular position control system of pneumatic artificial muscles
- The properties of lubricated friction pairs with diamond-like carbon coatings
- Effect of laser beam trajectory on pocket geometry in laser micromachining
- Special Issue: Annual Engineering and Vocational Education Conference
- The Employability Skills Needed To Face the Demands of Work in the Future: Systematic Literature Reviews
- Enhancing Higher-Order Thinking Skills in Vocational Education through Scaffolding-Problem Based Learning
- Technology-Integrated Project-Based Learning for Pre-Service Teacher Education: A Systematic Literature Review
- A Study on Water Absorption and Mechanical Properties in Epoxy-Bamboo Laminate Composite with Varying Immersion Temperatures
- Enhancing Students’ Ability in Learning Process of Programming Language using Adaptive Learning Systems: A Literature Review
- Topical Issue on Mathematical Modelling in Applied Sciences, III
- An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network
- Hands-on Learning In STEM: Revisiting Educational Robotics as a Learning Style Precursor
Articles in the same Issue
- Regular Articles
- Fabrication of aluminium covetic casts under different voltages and amperages of direct current
- Inhibition effect of the synergistic properties of 4-methyl-norvalin and 2-methoxy-4-formylphenol on the electrochemical deterioration of P4 low carbon mold steel
- Logistic regression in modeling and assessment of transport services
- Design and development of ultra-light front and rear axle of experimental vehicle
- Enhancement of cured cement using environmental waste: particleboards incorporating nano slag
- Evaluating ERP System Merging Success In Chemical Companies: System Quality, Information Quality, And Service Quality
- Accuracy of boundary layer treatments at different Reynolds scales
- Evaluation of stabiliser material using a waste additive mixture
- Optimisation of stress distribution in a highly loaded radial-axial gas microturbine using FEM
- Analysis of modern approaches for the prediction of electric energy consumption
- Surface Hardening of Aluminium Alloy with Addition of Zinc Particles by Friction Stir Processing
- Development and refinement of the Variational Method based on Polynomial Solutions of Schrödinger Equation
- Comparison of two methods for determining Q95 reference flow in the mouth of the surface catchment basin of the Meia Ponte river, state of Goiás, Brazil
- Applying Intelligent Portfolio Management to the Evaluation of Stalled Construction Projects
- Disjoint Sum of Products by Orthogonalizing Difference-Building ⴱ
- The Development of Information System with Strategic Planning for Integrated System in the Indonesian Pharmaceutical Company
- Simulation for Design and Material Selection of a Deep Placement Fertilizer Applicator for Soybean Cultivation
- Modeling transportation routes of the pick-up system using location problem: a case study
- Pinless friction stir spot welding of aluminium alloy with copper interlayer
- Roof Geometry in Building Design
- Review Articles
- Silicon-Germanium Dioxide and Aluminum Indium Gallium Arsenide-Based Acoustic Optic Modulators
- RZ Line Coding Scheme With Direct Laser Modulation for Upgrading Optical Transmission Systems
- LOGI Conference 2019
- Autonomous vans - the planning process of transport tasks
- Drivers ’reaction time research in the conditions in the real traffic
- Design and evaluation of a new intersection model to minimize congestions using VISSIM software
- Mathematical approaches for improving the efficiency of railway transport
- An experimental analysis of the driver’s attention during train driving
- Risks associated with Logistics 4.0 and their minimization using Blockchain
- Service quality of the urban public transport companies and sustainable city logistics
- Charging electric cars as a way to increase the use of energy produced from RES
- The impact of the truck loads on the braking efficiency assessment
- Application of virtual and augmented reality in automotive
- Dispatching policy evaluation for transport of ready mixed concrete
- Use of mathematical models and computer software for analysis of traffic noise
- New developments on EDR (Event Data Recorder) for automated vehicles
- General Application of Multiple Criteria Decision Making Methods for Finding the Optimal Solution in City Logistics
- The influence of the cargo weight and its position on the braking characteristics of light commercial vehicles
- Modeling the Delivery Routes Carried out by Automated Guided Vehicles when Using the Specific Mathematical Optimization Method
- Modelling of the system “driver - automation - autonomous vehicle - road”
- Limitations of the effectiveness of Weigh in Motion systems
- Long-term urban traffic monitoring based on wireless multi-sensor network
- The issue of addressing the lack of parking spaces for road freight transport in cities - a case study
- Simulation of the Use of the Material Handling Equipment in the Operation Process
- The use of simulation modelling for determining the capacity of railway lines in the Czech conditions
- Proposals for Using the NFC Technology in Regional Passenger Transport in the Slovak Republic
- Optimisation of Transport Capacity of a Railway Siding Through Construction-Reconstruction Measures
- Proposal of Methodology to Calculate Necessary Number of Autonomous Trucks for Trolleys and Efficiency Evaluation
- Special Issue: Automation in Finland
- 5G Based Machine Remote Operation Development Utilizing Digital Twin
- On-line moisture content estimation of saw dust via machine vision
- Data analysis of a paste thickener
- Programming and control for skill-based robots
- Using Digital Twin Technology in Engineering Education – Course Concept to Explore Benefits and Barriers
- Intelligent methods for root cause analysis behind the center line deviation of the steel strip
- Engaging Building Automation Data Visualisation Using Building Information Modelling and Progressive Web Application
- Real-time measurement system for determining metal concentrations in water-intensive processes
- A tool for finding inclusion clusters in steel SEM specimens
- An overview of current safety requirements for autonomous machines – review of standards
- Expertise and Uncertainty Processing with Nonlinear Scaling and Fuzzy Systems for Automation
- Towards online adaptation of digital twins
- Special Issue: ICE-SEAM 2019
- Fatigue Strength Analysis of S34MnV Steel by Accelerated Staircase Test
- The Effect of Discharge Current and Pulse-On Time on Biocompatible Zr-based BMG Sinking-EDM
- Dynamic characteristic of partially debonded sandwich of ferry ro-ro’s car deck: a numerical modeling
- Vibration-based damage identification for ship sandwich plate using finite element method
- Investigation of post-weld heat treatment (T6) and welding orientation on the strength of TIG-welded AL6061
- The effect of nozzle hole diameter of 3D printing on porosity and tensile strength parts using polylactic acid material
- Investigation of Meshing Strategy on Mechanical Behaviour of Hip Stem Implant Design Using FEA
- The effect of multi-stage modification on the performance of Savonius water turbines under the horizontal axis condition
- Special Issue: Recent Advances in Civil Engineering
- The effects of various parameters on the strengths of adhesives layer in a lightweight floor system
- Analysis of reliability of compressed masonry structures
- Estimation of Sport Facilities by Means of Technical-Economic Indicator
- Integral bridge and culvert design, Designer’s experience
- A FEM analysis of the settlement of a tall building situated on loess subsoil
- Behaviour of steel sheeting connections with self-drilling screws under variable loading
- Resistance of plug & play N type RHS truss connections
- Comparison of strength and stiffness parameters of purlins with different cross-sections of profiles
- Bearing capacity of floating geosynthetic encased columns (GEC) determined on the basis of CPTU penetration tests
- The effect of the stress distribution of anchorage and stress in the textured layer on the durability of new anchorages
- Analysis of tender procedure phases parameters for railroad construction works
- Special Issue: Terotechnology 2019
- The Use of Statistical Functions for the Selection of Laser Texturing Parameters
- Properties of Laser Additive Deposited Metallic Powder of Inconel 625
- Numerical Simulation of Laser Welding Dissimilar Low Carbon and Austenitic Steel Joint
- Assessment of Mechanical and Tribological Properties of Diamond-Like Carbon Coatings on the Ti13Nb13Zr Alloy
- Characteristics of selected measures of stress triaxiality near the crack tip for 145Cr6 steel - 3D issues for stationary cracks
- Assessment of technical risk in maintenance and improvement of a manufacturing process
- Experimental studies on the possibility of using a pulsed laser for spot welding of thin metallic foils
- Angular position control system of pneumatic artificial muscles
- The properties of lubricated friction pairs with diamond-like carbon coatings
- Effect of laser beam trajectory on pocket geometry in laser micromachining
- Special Issue: Annual Engineering and Vocational Education Conference
- The Employability Skills Needed To Face the Demands of Work in the Future: Systematic Literature Reviews
- Enhancing Higher-Order Thinking Skills in Vocational Education through Scaffolding-Problem Based Learning
- Technology-Integrated Project-Based Learning for Pre-Service Teacher Education: A Systematic Literature Review
- A Study on Water Absorption and Mechanical Properties in Epoxy-Bamboo Laminate Composite with Varying Immersion Temperatures
- Enhancing Students’ Ability in Learning Process of Programming Language using Adaptive Learning Systems: A Literature Review
- Topical Issue on Mathematical Modelling in Applied Sciences, III
- An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network
- Hands-on Learning In STEM: Revisiting Educational Robotics as a Learning Style Precursor