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A mini review on the applications of artificial intelligence (AI) in surface chemistry and catalysis

  • Faisal Al-Akayleh

    Prof. Faisal Al-Akayleh studied pharmacy at Jordan University. He obtained his master in 1998 and PhD in physical pharmacy from University of Baghdad (Iraq) in 2004. In 2008 he worked as assistant professor at the University of Petra (Jordan) and was promoted to an associate professor of pharmacy in 2017. Areas of interest are nanotechnology, drug delivery systems, eutectic systems, pharmaceutical additives and formulations.

     EMAIL logo     , Ahmed S. A. Ali Agha

    Dr. Ahmed S. A. Ali Agha obtained his bachelor and master in pharmacy from the University of Petra and currently doing his Ph.D. in pharmacy at the university of Jordan. Areas of interest are nanotechnology, rheology, drug delivery systems, pharmaceutical additives and formulations.

         , Rami A. Abdel Rahem

    Prof. Rami A. Abdel Rahem was born in 1974 (in As Sarih-Jordan), studied applied chemistry at Jordan University of Science and Technology. He obtained his PhD in 2003 from Bayreuth University (Germany) under supervision of Prof. Dr. Heinz Hoffmann. From 2003 until 2011, he worked as assistant professor of physical chemistry at the university of Al-Margeb (Libya) and at King Faisal University (Saudi Arabia). At 2011, he was promoted to an associate professor at King Faisal University. At 2013, he shifted to University of Petra (Jordan) and there he was promoted to a full professor at 2017. Areas of interest are surfactants properties, rheology, electron microscopy, phase behavior, corrosion, and physical properties of polymer composite.

         and Mayyas Al-Remawi

    Prof. Mayyas Al-Remawi was born in 1971, studied pharmacy at Jordan University. He obtained his master in 1998 and PhD in physical pharmacy from Jordan University of Science and Technology (JUST) in 2003. He worked in pharmaceutical industry sector from 2003 till 2010, then he joined Taif University (Kingdom of Saudi Arabia) and worked there as assistant professor of pharmacy till 2012. At 2013, he was promoted to associate professor at the same University. In 2015 he moved to university of Petra (Jordan) and was promoted to a full professor of pharmacy in 2017. Prof. Al-Remawi has about 32 inventions and about 55 journal publications. Areas of interest are nanotechnology, drug delivery systems, pharmaceutical additives and formulations.

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Published/Copyright: April 30, 2024
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Tenside Surfactants Detergents
From the journal Tenside Surfactants Detergents Volume 61 Issue 4

Abstract

This review critically analyzes the incorporation of artificial intelligence (AI) in surface chemistry and catalysis to emphasize the revolutionary impact of AI techniques in this field. The current review examines various studies that using AI techniques, including machine learning (ML), deep learning (DL), and neural networks (NNs), in surface chemistry and catalysis. It reviews the literature on the application of AI models in predicting adsorption behaviours, analyzing spectroscopic data, and improving catalyst screening processes. It combines both theoretical and empirical studies to provide a comprehensive synthesis of the findings. It demonstrates that AI applications have made remarkable progress in predicting the properties of nanostructured catalysts, discovering new materials for energy conversion, and developing efficient bimetallic catalysts for CO2 reduction. AI-based analyses, particularly using advanced NNs, have provided significant insights into the mechanisms and dynamics of catalytic reactions. It will be shown that AI plays a crucial role in surface chemistry and catalysis by significantly accelerating discovery and enhancing process optimization, resulting in enhanced efficiency and selectivity. This mini-review highlights the challenges of data quality, model interpretability, scalability, and ethical, and environmental concerns in AI-driven research. It highlights the importance of continued methodological advancements and responsible implementation of artificial intelligence in catalysis research.

Keywords: artificial intelligence in catalysis; surface chemistry; machine learning in chemical analysis; catalytic optimization; computational chemistry
Corresponding authors: Faisal Al-Akayleh and Mayyas Al-Remawi, Faculty of Pharmacy and Medical Sciences, Department of Pharmaceutics and Pharmaceutical Technology, University of Petra, Amman, Jordan, E-mail: (F. Al-Akayleh), (M. Al-Remawi)
Faisal Al-Akayleh and Ahmed S. A. Ali Agha share first authorship.

About the authors

Faisal Al-Akayleh

Prof. Faisal Al-Akayleh studied pharmacy at Jordan University. He obtained his master in 1998 and PhD in physical pharmacy from University of Baghdad (Iraq) in 2004. In 2008 he worked as assistant professor at the University of Petra (Jordan) and was promoted to an associate professor of pharmacy in 2017. Areas of interest are nanotechnology, drug delivery systems, eutectic systems, pharmaceutical additives and formulations.

Ahmed S. A. Ali Agha

Dr. Ahmed S. A. Ali Agha obtained his bachelor and master in pharmacy from the University of Petra and currently doing his Ph.D. in pharmacy at the university of Jordan. Areas of interest are nanotechnology, rheology, drug delivery systems, pharmaceutical additives and formulations.

Rami A. Abdel Rahem

Prof. Rami A. Abdel Rahem was born in 1974 (in As Sarih-Jordan), studied applied chemistry at Jordan University of Science and Technology. He obtained his PhD in 2003 from Bayreuth University (Germany) under supervision of Prof. Dr. Heinz Hoffmann. From 2003 until 2011, he worked as assistant professor of physical chemistry at the university of Al-Margeb (Libya) and at King Faisal University (Saudi Arabia). At 2011, he was promoted to an associate professor at King Faisal University. At 2013, he shifted to University of Petra (Jordan) and there he was promoted to a full professor at 2017. Areas of interest are surfactants properties, rheology, electron microscopy, phase behavior, corrosion, and physical properties of polymer composite.

Mayyas Al-Remawi

Prof. Mayyas Al-Remawi was born in 1971, studied pharmacy at Jordan University. He obtained his master in 1998 and PhD in physical pharmacy from Jordan University of Science and Technology (JUST) in 2003. He worked in pharmaceutical industry sector from 2003 till 2010, then he joined Taif University (Kingdom of Saudi Arabia) and worked there as assistant professor of pharmacy till 2012. At 2013, he was promoted to associate professor at the same University. In 2015 he moved to university of Petra (Jordan) and was promoted to a full professor of pharmacy in 2017. Prof. Al-Remawi has about 32 inventions and about 55 journal publications. Areas of interest are nanotechnology, drug delivery systems, pharmaceutical additives and formulations.

Acknowledgments

The authors acknowledge the faculty of scientific research and higher studies at the University of Petra (UOP) for their support.

  1. Research ethics: Not applicable.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Research funding: Not applicable.

  5. Data availability: Not applicable.

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Received: 2024-01-08
Accepted: 2024-03-28
Published Online: 2024-04-30
Published in Print: 2024-07-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Review Articles
  3. A mini review on the applications of artificial intelligence (AI) in surface chemistry and catalysis
  4. A critical review on scale-up strategies of biosurfactant production and its applications
  5. Physical Chemistry
  6. Adsorption of single and mixed surfactants consisting of cocoamidopropyl betaine (CAPB) and sodium dodecyl benzene sulfonate (SDBS) onto zinc surface
  7. Application
  8. Study on modified graphene oxide-based emulsion cleaner for oily sludge
  9. Gemini Surfactants
  10. Interactions between diester amide Gemini surfactants and polymers, and their application in hair dyes
  11. Surface Active Ionic Liquids
  12. Thermodynamic characteristics and aggregation behavior of surface active ionic liquids in presence of vitamin B7 (biotin)
  13. Drug Delivery System
  14. Determination of resveratrol in nanoformulations using UV-spectroscopy: forced degradation and drug entrapment
  15. Detergent Ingredients
  16. Thermodynamic and surface active investigations of aqueous solution of sodium dodecylbenzene sulfonate in presence of builders: sequestration of Ca2+ ions and interaction with H2O2
https://doi.org/10.1515/tsd-2024-2580
Keywords for this article
artificial intelligence in catalysis; surface chemistry; machine learning in chemical analysis; catalytic optimization; computational chemistry

Articles in the same Issue

  1. Frontmatter
  2. Review Articles
  3. A mini review on the applications of artificial intelligence (AI) in surface chemistry and catalysis
  4. A critical review on scale-up strategies of biosurfactant production and its applications
  5. Physical Chemistry
  6. Adsorption of single and mixed surfactants consisting of cocoamidopropyl betaine (CAPB) and sodium dodecyl benzene sulfonate (SDBS) onto zinc surface
  7. Application
  8. Study on modified graphene oxide-based emulsion cleaner for oily sludge
  9. Gemini Surfactants
  10. Interactions between diester amide Gemini surfactants and polymers, and their application in hair dyes
  11. Surface Active Ionic Liquids
  12. Thermodynamic characteristics and aggregation behavior of surface active ionic liquids in presence of vitamin B7 (biotin)
  13. Drug Delivery System
  14. Determination of resveratrol in nanoformulations using UV-spectroscopy: forced degradation and drug entrapment
  15. Detergent Ingredients
  16. Thermodynamic and surface active investigations of aqueous solution of sodium dodecylbenzene sulfonate in presence of builders: sequestration of Ca2+ ions and interaction with H2O2
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