Dr. Öğr. Üyesi AIMAN TARIQ

Yayın Ağı

Makaleler 22

1. Physics-informed federated scientific machine learning for constitutive modeling under heterogeneous and decentralized data conditions

DELİKTAŞ B., TARIQ A.

COMPUTERS & STRUCTURES , cilt.331, 2026 (SCI-Expanded, Scopus)

2. On the development of neural network and phenomenological constitutive models for polycarbonate under thermomechanical and impact loading: Experimental and numerical approaches

Kapci C. I., TARIQ A., YAZICI M., DELİKTAŞ B., Voyiadjis G. Z.

EUROPEAN JOURNAL OF MECHANICS A-SOLIDS , cilt.119, 2026 (SCI-Expanded, Scopus)

3. Size-dependent bending, buckling, and vibration behavior of a nanobeam with periodically distributed holes via a PINN-based method

AKPINAR M., TARIQ A., DELİKTAŞ B., YAYLI M. Ö.

ENGINEERING WITH COMPUTERS , cilt.42, sa.5, 2026 (SCI-Expanded, Scopus)

4. A validated computational framework for investigating the manufacturing heterogeneities induced from injection molding

Polat A., Kurt G., TARIQ A., DELİKTAŞ B., YAZICI M., Voyiadjis G. Z.

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES , cilt.322, 2026 (SCI-Expanded, Scopus)

5. Thermodynamically consistent physics-informed neural network approach for thin films with nonstandard boundary conditions

TARIQ A., DELİKTAŞ B., Voyiadjis G. Z.

THIN-WALLED STRUCTURES , cilt.225, 2026 (SCI-Expanded, Scopus)

6. On the machine learning approach for computational homogenization of short fiber-reinforced composites with elastoplastic behavior

Polat A., TARIQ A., DELİKTAŞ B., YAZICI M., Voyiadjis G. Z.

JOURNAL OF REINFORCED PLASTICS AND COMPOSITES , cilt.45, sa.11-12, ss.2726-2746, 2026 (SCI-Expanded, Scopus)

7. Boosting machine learning algorithms for predicting the macroscopic material behavior of continuous fiber reinforced composite

TARIQ A., Polat A., DELİKTAŞ B.

JOURNAL OF REINFORCED PLASTICS AND COMPOSITES , cilt.45, sa.3-4, ss.781-799, 2026 (SCI-Expanded, Scopus)

8. Developing a Vertical Federated Machine Learning Framework for Predicting Energy Consumption in Wastewater Treatment Plants: A Case Study of Melbourne

DELİKTAŞ B., TARIQ A., Kurt G., UYGUR A.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH , cilt.20, sa.2, 2026 (SCI-Expanded, Scopus)

9. Semi-analytical and machine learning approaches for investigating the torsional vibration behavior of nano-sized viscoelastic tubes

TARIQ A., Kadioglu H. G., UZUN B., DELİKTAŞ B., YAYLI M. Ö.

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES , cilt.33, sa.1, 2026 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

10. Investigation of the torsional dynamics of viscoelastic nanorod through Gaussian process-based surrogate modeling and semi-analytical approaches

Kadioglu H. G., TARIQ A., DELİKTAŞ B., YAYLI M. Ö.

MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES , cilt.54, sa.1, 2026 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

11. Bending analysis of cantilever microbeams with three porosity distributions using physics-informed neural network and modified couple stress theory

TARIQ A., UZUN B., DELİKTAŞ B., YAYLI M. Ö.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , cilt.159, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

12. Investigation of the critical buckling load of a column with linearly varying moment of inertia using analytical, numerical, and hybrid machine learning approaches

Polat A., TARIQ A., OKAY F., DELİKTAŞ B.

JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN , cilt.60, sa.8, ss.612-631, 2025 (SCI-Expanded, Scopus)

13. Modeling the viscoelastic behavior of a FG nonlocal beam with deformable boundaries based on hybrid machine learning and semi-analytical approaches

TARIQ A., Kadioglu H. G., UZUN B., DELİKTAŞ B., YAYLI M. Ö.

ARCHIVE OF APPLIED MECHANICS , cilt.95, sa.4, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

14. An Inverse Parameter Identification in Finite Element Problems Using Machine Learning-Aided Optimization Framework

TARIQ A., DELİKTAŞ B.

EXPERIMENTAL MECHANICS , cilt.65, sa.3, ss.325-349, 2025 (SCI-Expanded, Scopus)

15. On the use of physics-based constraints and validation KPI for data-driven elastoplastic constitutive modelling

Lourenco R., TARIQ A., Georgieva P., Andrade-Campos A., DELİKTAŞ B.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING , cilt.437, 2025 (SCI-Expanded, Scopus)

16. Application of machine learning methodology for investigating the vibration behavior of functionally graded porous nanobeams

TARIQ A., UZUN B., DELİKTAŞ B., YAYLI M. Ö.

JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN , cilt.60, sa.2, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

17. A machine learning approach for buckling analysis of a bi-directional FG microbeam

TARIQ A., UZUN B., DELİKTAŞ B., YAYLI M. Ö.

MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS , cilt.31, sa.1, ss.177-198, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

18. Size dependent dynamics of a bi-directional functionally graded nanobeam via machine learning methods

TARIQ A., UZUN B., AKPINAR M., YAYLI M. Ö., DELİKTAŞ B.

ADVANCES IN NANO RESEARCH , cilt.18, sa.1, ss.33-52, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

19. Vibration analysis of embedded porous nanobeams under thermal effects using boosting machine learning algorithms and semi-analytical approach

TARIQ A., UZUN B., DELİKTAŞ B., YAYLI M. Ö.

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES , cilt.31, sa.29, ss.12320-12343, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

20. An investigation on ensemble machine learning algorithms for nonlinear stability response of a two-dimensional FG nanobeam

TARIQ A., UZUN B., DELİKTAŞ B., YAYLI M. Ö.

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING , cilt.46, sa.9, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

21. ANN-based evaluation system for erosion resistant highway shoulder rocks

TARIQ A., Abualshar B., DELİKTAŞ B., Song C. R., Al-Nimri B., Barret B., et al.

INTERNATIONAL JOURNAL OF GEO-ENGINEERING , cilt.15, sa.1, 2024 (ESCI, Scopus)

22. Assessment of machine learning methods predicting the axial vibration frequencies of microbars

TARIQ A., UZUN B., DELİKTAŞ B., YAYLI M. Ö.

ZAMM-ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK , cilt.104, sa.3, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 7

1. Machine learning-assisted homogenization approach for predicting the elastoplastic behavior of short fiber reinforced composite

Polat A., Tarıq A., Deliktaş B., Yazıcı M., Yaylı M. Ö.

INTERNATIONAL CONGRESS ON NEW TRENDS IN MECHANICS, Baku, Azerbaycan, 2 - 05 Eylül 2025, ss.829-842, (Tam Metin Bildiri)

2. Sonlu elemanlar analizinde malzeme modellerinin verimli kalibrasyonu için yeni bir makine öğrenimi destekli ters metodolojisi

Tarıq A., Deliktaş B., Yaylı M. Ö.

24. ULUSAL MEKANİK KONGRESİ, Baku, Azerbaycan, 2 - 05 Eylül 2025, ss.200-212, (Tam Metin Bildiri)

7. Computational modeling the non-linear behavior of critical members causing progressive collapse in steel lattice towers

Tariq A., Deliktaş B.

22. ULUSAL MEKANİK KONGRESİ, 6 - 08 Eylül 2021, ss.814-825, (Tam Metin Bildiri)

Metrikler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

343

H-İndeks (WoS)

Atıf (Scopus)

356

H-İndeks (Scopus)

Atıf (Scholar)

449

H-İndeks (Scholar)

Proje

Açık Erişim

BM Sürdürülebilir Kalkınma Amaçları

SDG 6: AMAÇ 6: TEMİZ SU VE SIHHİ KOŞULLAR

Yayınlar & Eserler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Proje

Açık Erişim