Prof. Dr. RAMAZAN YILDIRIM

Applied Catalysis B: Environmental , cilt.385, 2026 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

3. Current state of the art and future perspectives for photocatalytic CO2 reduction

Özdemir P., YILDIRIM R.

Journal of Energy Chemistry , cilt.116, ss.914-932, 2026 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

4. Text-mining and bibliometric analyses for proton exchange membrane electrolyzers

Firtin A., Yilmaz A., Eroglu I., YILDIRIM R., EROĞLU PALA D.

International Journal of Hydrogen Energy , cilt.211, 2026 (SCI-Expanded, Scopus)

5. Machine Learning for Catalytic Reaction Systems: A Framework for Complex Chemical Processes

YÜKSEL K., EROĞLU PALA D., YILDIRIM R.

ACS Engineering Au , cilt.6, sa.1, ss.48-67, 2026 (ESCI, Scopus)

6. Data as a Key Resource in Catalysis: A Community Account

Mendes P. S. F., López N., De S., Fushimi R., YILDIRIM R., Trunschke A.

ChemCatChem , cilt.17, sa.24, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

7. Key aspects of sustainable and high-performance K-ion batteries: A machine learning approach

Journal of Power Sources , cilt.657, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

8. Using machine learning to guide the synthesis of supported palladium catalysts with desired palladium dispersion

Tiras K., Oral B., Arslan N. K., Alemdar S., YILDIRIM R., Uzun A.

Journal of Catalysis , cilt.448, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

9. ML@ChemE: Past, Present, and Future of Machine Learning in Chemical Engineering

Özdemir P., YILDIRIM R.

ChemBioEng Reviews , cilt.12, sa.4, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

10. Machine learning analysis of photocatalytic CO2 reduction on perovskite materials

Zırhlıoğlu İ. G., YILDIRIM R.

Materials Research Bulletin , cilt.188, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

11. Machine learning analysis of photocatalytic glycerol reforming for hydrogen production

Oral B., Karakoyun R., Bilgin E., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.142, ss.1014-1025, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

12. Ionic liquid electrolytes for metal-air batteries: High-throughput screening and machine learning modeling

Kilic A., Uzun A., YILDIRIM R., EROĞLU PALA D.

Electrochimica Acta , cilt.524, 2025 (SCI-Expanded, Scopus)

13. Performance Assessment of Catalyst Materials for CO2 Hydrogenation to Methanol Using Explainable Machine Learning

YILMAZ B., Ceylan H. B., Yaz G., YILDIRIM R.

Energy and Fuels , cilt.39, sa.21, ss.9956-9967, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

14. Explainable machine learning analysis of tri-reforming of biogas for sustainable syngas production

International Journal of Hydrogen Energy , cilt.127, ss.595-607, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

15. Machine learning for a sustainable energy future

Oral B., Coşgun A., Kilic A., EROĞLU PALA D., Günay M. E., YILDIRIM R.

Chemical Communications , cilt.61, sa.7, ss.1342-1370, 2024 (SCI-Expanded, Scopus)

16. Machine Learning–Based Analysis of Sustainable Biochar Production Processes

Coşgun A., Oral B., Günay M. E., YILDIRIM R.

Bioenergy Research , cilt.17, sa.4, ss.2311-2327, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

17. Predictive Modeling and SHAP (SHapley Additive ExPlanations) Analysis for Enhancing Natural Dye-Sensitized Solar Cell Performance

Oral B., Maddah H. A., YILDIRIM R.

Solar RRL , cilt.8, sa.22, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

18. Effects of dead volume and inert sweep gas flow on photocatalytic hydrogen evolution over Pt/TiO2

Can Özcan E., ÜNER D., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.75, ss.540-546, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

19. Selection of ionic liquid electrolytes for high-performing lithium-sulfur batteries: An experiment-guided high-throughput machine learning analysis

Kilic A., Abdelaty O., Zeeshan M., Uzun A., YILDIRIM R., EROĞLU PALA D.

Chemical Engineering Journal , cilt.490, 2024 (SCI-Expanded, Scopus)

20. Machine learning-based exploration of biochar for environmental management and remediation

Oral B., Coşgun A., Günay M. E., YILDIRIM R.

Journal of Environmental Management , cilt.360, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

21. Halide Perovskites for Photoelectrochemical Water Splitting and CO2 Reduction: Challenges and Opportunities

Bienkowski K., Solarska R., Trinh L., Widera-Kalinowska J., Al-Anesi B., Liu M., et al.

ACS Catalysis , cilt.14, sa.9, ss.6603-6622, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

22. Analysis of photocatalytic CO2 reduction over MOFs using machine learning

Özsoysal S., Oral B., YILDIRIM R.

Journal of Materials Chemistry A , cilt.12, sa.10, ss.5748-5759, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

23. Phytochemicals in Pancreatic Cancer Treatment: A Machine Learning Study

Genc D. E., ÖZBEK Ö., Oral B., YILDIRIM R., İLERİ ERCAN N.

ACS Omega , cilt.9, sa.1, ss.413-421, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

24. Photocatalytic glycerol reforming on Pt, Au and Cu supported by reduced TiO2 under visible light irradiation

Özdemir P., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.52, ss.283-294, 2024 (SCI-Expanded, Scopus)

25. Machine learning for beyond Li-ion batteries: Powering the research

Kilic A., Oral B., EROĞLU PALA D., YILDIRIM R.

Journal of Energy Storage , cilt.73, 2023 (SCI-Expanded, Scopus)

26. Machine learning analysis of catalytic CO2 methanation

YILMAZ B., Oral B., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.48, sa.64, ss.24904-24914, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

27. Machine learning for algal biofuels: a critical review and perspective for the future

Green Chemistry , cilt.25, sa.9, ss.3354-3373, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

28. A critical review of machine learning for lignocellulosic ethanol production via fermentation route

Kilic A., YILDIRIM R., EROĞLU PALA D.

Biofuel Research Journal , cilt.10, sa.2, ss.1859-1875, 2023 (ESCI, Scopus)

29. Assessment of ionic liquid electrolytes for high-performance lithium-sulfur batteries using machine learning

International Journal of Energy Research , cilt.46, sa.15, ss.21716-21726, 2022 (SCI-Expanded, Scopus)

30. Performance analysis of Na-ion batteries by machine learning

Oral B., Tekin B., EROĞLU PALA D., YILDIRIM R.

Journal of Power Sources , cilt.549, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

31. Machine learning analysis of gas phase photocatalytic CO2 reduction for hydrogen production

Saadetnejad D., Oral B., Can Özcan E., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.47, sa.45, ss.19655-19668, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

32. Analysis of photoelectrochemical water splitting using machine learning

Oral B., Can Özcan E., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.47, sa.45, ss.19633-19654, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

33. Analysis of lipid production from Yarrowia lipolytica for renewable fuel production by machine learning

YILMAZ B., Odabaşı Ç., YILDIRIM R.

Fuel , cilt.315, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

34. Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning

Suvarna M., Jahirul M. I., Aaron-Yeap W. H., Augustine C. V., Umesh A., Rasul M. G., et al.

Renewable Energy , cilt.189, ss.245-258, 2022 (SCI-Expanded, Scopus)

35. Efficiency and Stability Analysis of 2D/3D Perovskite Solar Cells Using Machine Learning

Energy Technology , cilt.10, sa.3, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

36. Enhancing Charge Transfer in Photocatalytic Hydrogen Production over Dye-Sensitized Pt/TiO2by Ionic Liquid Coating

Can Özcan E., URALCAN KILAVUZ B., YILDIRIM R.

ACS Applied Energy Materials , cilt.4, sa.10, ss.10931-10939, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

37. Determining the Key Performance Factors in Lithium-Oxygen Batteries Using Machine Learning

Kilic A., EROĞLU PALA D., YILDIRIM R.

Journal of the Electrochemical Society , cilt.168, sa.9, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

38. Predicting water solubility in ionic liquids using machine learning towards design of hydro-philic/phobic ionic liquids

Can Özcan E., Jalal A., Zirhlioglu İ. G., Uzun A., YILDIRIM R.

Journal of Molecular Liquids , cilt.332, 2021 (SCI-Expanded, Scopus)

39. Machine learning analysis of ni/sic electrodeposition using association rule mining and artificial neural network

Kilic A., YILDIRIM R., EROĞLU PALA D.

Journal of the Electrochemical Society , cilt.168, sa.6, 2021 (SCI-Expanded, Scopus)

40. Machine Learning Meets with Metal Organic Frameworks for Gas Storage and Separation

Altintas C., Altundal O. F., Keskin S., YILDIRIM R.

Journal of Chemical Information and Modeling , cilt.61, sa.5, ss.2131-2146, 2021 (SCI-Expanded, Scopus)

41. Cytotoxicity analysis of nanoparticles by association rule mining

Gul G., YILDIRIM R., İLERİ ERCAN N.

Environmental Science: Nano , cilt.8, sa.4, ss.937-949, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

42. Critical review of machine learning applications in perovskite solar research

Erdem Günay M., YILDIRIM R.

Nano Energy , cilt.80, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

43. Recent advances in knowledge discovery for heterogeneous catalysis using machine learning

Catalysis Reviews - Science and Engineering , cilt.63, sa.1, ss.120-164, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

44. Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning

Yildiz M. G., Davran-Candan T., Günay M. E., YILDIRIM R.

Renewable Energy , cilt.163, ss.1299-1317, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

45. Assessment of Reproducibility, Hysteresis, and Stability Relations in Perovskite Solar Cells Using Machine Learning

Odabaşı Ç., YILDIRIM R.

Energy Technology , cilt.8, sa.12, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

46. Photocatalytic hydrogen production on chemically etched strontium titanate surfaces

Oral B., Saadetnejad D., YILDIRIM R.

Reaction Kinetics, Mechanisms and Catalysis , cilt.131, sa.2, ss.953-963, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

47. Assessment of critical materials and cell design factors for high performance lithium-sulfur batteries using machine learning

Kilic A., Odabaşı Ç., YILDIRIM R., EROĞLU PALA D.

Chemical Engineering Journal , cilt.390, 2020 (SCI-Expanded, Scopus)

48. Determining most effective structural form of nickel-cobalt catalysts for dry reforming of methane

Leba A., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.45, sa.7, ss.4268-4283, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

49. Machine learning analysis on stability of perovskite solar cells

Odabaşı Ç., YILDIRIM R.

Solar Energy Materials and Solar Cells , cilt.205, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

50. Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures

Khenkin M. V., Katz E. A., Abate A., Bardizza G., Berry J. J., Brabec C., et al.

Nature Energy , cilt.5, sa.1, ss.35-49, 2020 (SCI-Expanded, Scopus)

51. Selection rules for estimating the solubility of C 4 -hydrocarbons in imidazolium ionic liquids determined by machine-learning tools

Jalal A., Can Özcan E., Keskin S., YILDIRIM R., Uzun A.

Journal of Molecular Liquids , cilt.284, ss.511-521, 2019 (SCI-Expanded, Scopus)

52. CO2 capture over amine-functionalized MCM-41 and SBA-15: Exploratory analysis and decision tree classification of past data

Journal of CO2 Utilization , cilt.31, ss.27-42, 2019 (SCI-Expanded, Scopus)

53. Data mining in photocatalytic water splitting over perovskites literature for higher hydrogen production

Can Özcan E., YILDIRIM R.

Applied Catalysis B: Environmental , cilt.242, ss.267-283, 2019 (SCI-Expanded, Scopus)

54. Performance analysis of perovskite solar cells in 2013–2018 using machine-learning tools

Odabaşı Özer Ç., YILDIRIM R.

Nano Energy , cilt.56, ss.770-791, 2019 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

55. Photocatalytic hydrogen production by water splitting over Au/Al-SrTiO3

Saadetnejad D., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.43, sa.2, ss.1116-1122, 2018 (SCI-Expanded, Scopus)

56. Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis

Şener A. N., Günay M. E., Leba A., YILDIRIM R.

Catalysis Today , cilt.299, ss.289-302, 2018 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

57. Oxidative coupling of methane over Mn-Na2WO4 catalyst supported by monolithic SiO2

Uzunoglu C., Leba A., YILDIRIM R.

Applied Catalysis A: General , cilt.547, ss.22-29, 2017 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

58. Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: A statistical review

Baysal M., Günay M. E., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.42, sa.1, ss.243-254, 2017 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

59. Analysis of past experimental data in literature to determine conditions for high performance in biodiesel production

Alper Tapan N., YILDIRIM R., Günay M.

Biofuels, Bioproducts and Biorefining , cilt.10, sa.4, ss.422-434, 2016 (SCI-Expanded, Scopus)

60. Water gas shift activity of Au-Re catalyst over microstructured cordierite monolith wash-coated by ceria

Özyönüm G. N., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.41, sa.12, ss.5513-5521, 2016 (SCI-Expanded, Scopus)

61. Constructing global models from past publications to improve design and operating conditions for direct alcohol fuel cells

TAPAN N. A., Günay M. E., YILDIRIM R.

Chemical Engineering Research and Design , cilt.105, ss.162-170, 2016 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

62. Knowledge extraction for water gas shift reaction over noble metal catalysts from publications in the literature between 2002 and 2012

Odabaşi Ç., Günay M. E., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.39, sa.11, ss.5733-5746, 2014 (SCI-Expanded, Scopus)

63. Developing global reaction rate model for CO oxidation over Au catalysts from past data in literature using artificial neural networks

Applied Catalysis A: General , cilt.468, ss.395-402, 2013 (SCI-Expanded, Scopus)

64. Knowledge Extraction from Catalysis of the Past: A Case of Selective CO Oxidation over Noble Metal Catalysts between 2000 and 2012

ChemCatChem , cilt.5, sa.6, ss.1395-1406, 2013 (SCI-Expanded, Scopus)

65. Modeling preferential CO oxidation over promoted Au/Al2O3 catalysts using decision trees and modular neural networks

Günay M. E., Davran-Candan T., YILDIRIM R.

Chemical Engineering Research and Design , cilt.91, sa.5, ss.874-882, 2013 (SCI-Expanded, Scopus)

66. DRIFTS study of selective CO oxidation over Au/γAl2O 3 catalyst

Leba A., Davran-Candan T., ÖNSAN Z. İ., YILDIRIM R.

Catalysis Communications , cilt.29, ss.6-10, 2012 (SCI-Expanded, Scopus)

67. Analysis of O 2 Adsorption Stability and Strength Over Gold Clusters Using DFT and Logistic Regression

Journal of Cluster Science , cilt.23, sa.2, ss.221-235, 2012 (SCI-Expanded, Scopus)

68. Investigation of water gas-shift activity of Pt-MOx-CeO 2/Al2O3 (M = K, Ni, Co) using modular artificial neural networks

Günay M. E., Akpinar F., ÖNSAN Z. İ., YILDIRIM R.

International Journal of Hydrogen Energy , cilt.37, sa.3, ss.2094-2102, 2012 (SCI-Expanded, Scopus)

69. Selective CO oxidation over monolithic Au-MgO/Al 2O 3 catalysts

Özdemir S., ÖNSAN Z. İ., YILDIRIM R.

Journal of Chemical Technology and Biotechnology , cilt.87, sa.1, ss.58-64, 2012 (SCI-Expanded, Scopus)

70. Analysis of reaction mechanisms and kinetics of preferential CO oxidation over Au/γ-Al2O3

Davran-Candan T., Demir M., YILDIRIM R.

Reaction Kinetics, Mechanisms and Catalysis , cilt.104, sa.2, ss.389-398, 2011 (SCI-Expanded, Scopus)

71. Neural network analysis of selective CO oxidation over copper-based catalysts for knowledge extraction from published data in the literature

Davran-Candan T., Tezcanli S. T., YILDIRIM R.

Industrial and Engineering Chemistry Research , cilt.50, sa.22, ss.12488-12500, 2011 (SCI-Expanded, Scopus)

72. Selective CO oxidation over promoted Au/γ-Al2O3 catalysts in the presence of CO2 and H2O in the feed

Catalysis Communications , cilt.12, sa.12, ss.1149-1152, 2011 (SCI-Expanded, Scopus)

73. Structure and activity relationship for CO and O2 adsorption over gold nanoparticles using density functional theory and artificial neural networks

Davran-Candan T., Günay M. E., YILDIRIM R.

Journal of Chemical Physics , cilt.132, sa.17, 2010 (SCI-Expanded, Scopus)

74. Analysis of selective CO oxidation over promoted Pt/Al2O3 catalysts using modular neural networks: Combining preparation and operational variables

Davran-Candan T., AKSOYLU A. E., YILDIRIM R.

Applied Catalysis A: General , cilt.377, sa.1-2, ss.174-180, 2010 (SCI-Expanded, Scopus)

75. Low temperature water-gas shift reaction on Au-CeO2/Al 2O3 catalysts

Gunes H., YILDIRIM R.

International Journal of Chemical Reactor Engineering , cilt.8, 2010 (SCI-Expanded, Scopus)

76. Comparative study of selective CO oxidation over Pt-Co-M/Al2O3 catalysts (M=Ce, Mg, Mn, Zr, Fe) in hydrogen-rich streams: Effects of a second promoter

Uǧuz K. E., YILDIRIM R.

Turkish Journal of Chemistry , cilt.33, sa.4, ss.545-553, 2009 (SCI-Expanded, Scopus, TRDizin)

77. Reaction pathway analysis for CO oxidation over anionic gold hexamers using DFT

Journal of Molecular Catalysis A: Chemical , cilt.306, sa.1-2, ss.118-122, 2009 (SCI-Expanded, Scopus)

78. Simultaneous modeling of enzyme production and biomass growth in recombinant Escherichia coli using artificial neural networks

Günay M. E., Nikerel I. E., TOKSOY ÖNER E., Kirdar B., YILDIRIM R.

Biochemical Engineering Journal , cilt.42, sa.3, ss.329-335, 2008 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

79. Neural network aided design of Pt-Co-Ce/Al2O3 catalyst for selective CO oxidation in hydrogen-rich streams

Özyönüm G. N., AKIN A. N., YILDIRIM R.

Chemical Engineering Journal , cilt.140, sa.1-3, ss.324-331, 2008 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

80. Development of an active platine-based catalyst for the reaction of H2 production from NaBH4

Ersoz Y., YILDIRIM R., AKIN A. N.

Chemical Engineering Journal , cilt.134, sa.1-3, ss.282-287, 2007 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

81. Kinetic study of selective CO oxidation over Pt-Co-Ce/Al2O 3 catalyst in hydrogen-rich streams

Turkish Journal of Chemistry , cilt.31, sa.5, ss.445-453, 2007 (SCI-Expanded, Scopus, TRDizin)

82. Optimization of medium composition for biomass production of recombinant Escherichia coli cells using response surface methodology

Nikerel I. E., TOKSOY ÖNER E., Kirdar B., YILDIRIM R.

Biochemical Engineering Journal , cilt.32, sa.1, ss.1-6, 2006 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

83. Preferential CO oxidation over Pt-SnO2/Al2O 3 in hydrogen rich streams containing CO2 and H 2O (CO removal from H2 with PROX)

Uysal G., AKIN A. N., ÖNSAN Z. İ., YILDIRIM R.

Catalysis Letters , cilt.111, sa.3-4, ss.173-176, 2006 (SCI-Expanded, Scopus)

84. Hydrogen clean-up by preferential CO oxidation over Pt-Co-Ce/MgO

Uysal G., AKIN A. N., ÖNSAN Z. İ., YILDIRIM R.

Catalysis Letters , cilt.108, sa.3-4, ss.193-196, 2006 (SCI-Expanded, Scopus)

85. Selective low-temperature CO oxidation over Pt-Co-Ce/Al2O 3 in hydrogen-rich streams

Ince T., Uysal G., AKIN A. N., YILDIRIM R.

Applied Catalysis A: General , cilt.292, sa.1-2, ss.171-176, 2005 (Scopus)

86. Optimizing medium composition for TaqI endonuclease production by recombinant Escherichia coli cells using response surface methodology

Nikerel I. E., TOKSOY ÖNER E., Kirdar B., YILDIRIM R.

Process Biochemistry , cilt.40, sa.5, ss.1633-1639, 2005 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

87. Low temperature CO oxidation in hydrogen rich streams on Pt-SnO 2/Al2O3 catalyst using Taguchi method

Özdemir C., AKIN A. N., YILDIRIM R.

Applied Catalysis A: General , cilt.258, sa.2, ss.145-152, 2004 (Scopus)

88. Maximization of total surface area of Pt-SnO2/Al2O3 catalyst by the Taguchi method

Özdemir C., AKIN A. N., YILDIRIM R.

Korean Journal of Chemical Engineering , cilt.20, sa.5, ss.840-843, 2003 (SCI-Expanded, Scopus)

89. Adsorption parameters of some C5-C8 paraffinic hydrocarbons on platinum-alumina by gas Chromatographic pulse techniques

Gönenç Z., YILDIRIM R., Beler-Baykal A., ÖNSAN Z. İ.

Applied Catalysis A, General , cilt.103, sa.1, ss.35-42, 1993 (Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 29

1. Machine Learning for Sustainable Energy Materials and Technologies

YILDIRIM R.

9th International Symposium on Materials for Energy Storage and Conversion, Türkiye, 01 Eylül 2025, (Özet Bildiri)

2. Machine learning analysis of halide perovskite for photocatalytic CO2 reduction and water splitting

13th International Conference on Environmental Catalysis, Palermo, İtalya, 02 Haziran 2025, (Tam Metin Bildiri)

3. MACHINE LEARNING ANALYSIS OF PHOTOCATALYTIC HYDROGEN PRODUCTION OVER HALIDE PEROVSKITES