| Trends in computational molecular catalyst design A Soyemi, T Szilvási Dalton Transactions 50 (30), 10325-10339, 2021 | 26 | 2021 |
| Cationic Tetrylene‐Iron (0) Complexes: Access Points for Cooperative, Reversible Bond Activation and Open‐Shell Iron (− I) Ferrato‐Tetrylenes PM Keil, A Soyemi, K Weisser, T Szilvási, C Limberg, TJ Hadlington Angewandte Chemie, e202218141, 2023 | 21 | 2023 |
| Calculated physicochemical properties of glycerol-derived solvents to drive plastic waste recycling A Soyemi, T Szilvási Industrial & Engineering Chemistry Research 62 (15), 6322-6337, 2023 | 13 | 2023 |
| Benchmarking Semiempirical QM Methods for Calculating the Dipole Moment of Organic Molecules A Soyemi, T Szilvási The Journal of Physical Chemistry A 126 (11), 1905-1921, 2022 | 11 | 2022 |
| Enhancing the Quality and Reliability of Machine Learning Interatomic Potentials through Better Reporting Practices T Maxson, A Soyemi, BWJ Chen, T Szilvási The Journal of Physical Chemistry C 128 (16), 6524-6537, 2024 | 5 | 2024 |
| Multiscale simulation of plastic transformations: The case of base‐assisted dehydrochlorination of polyvinyl chloride S Ezendu, A Soyemi, T Szilvási AIChE Journal 70 (12), e18559, 2024 | 2 | 2024 |
| Experimental and Computational Study of the Properties of Imidazole Compounds with Branched and Cycloalkyl Substituents S Qian, P Mileski, AC Irvin, A Soyemi, T Szilvási, JE Bara Liquids 2 (1), 14-25, 2022 | 2 | 2022 |
| Metal Phthalocyanines Encapsulated in Faujasite Zeolites for Gas-Phase CO Oxidation EP Iaia, GR Rana, A Soyemi, AB Shrestha, MES Martin, JL Groeber, ... ACS Applied Nano Materials 7 (16), 18824-18840, 2024 | 1 | 2024 |
| Predicting the melting point of liquid crystals with directed message passing neural networks A Soyemi, SK Pandey, SA Vaara, T Szilvási Liquid Crystals 51 (1), 78-92, 2024 | 1 | 2024 |
| Synthesis and Properties of 2-Halo-1, 3-diether-propanes: Diversifying the Range of Functionality in Glycerol-Derived Compounds S Chatterjee, S Qian, A Soyemi, T Szilvási, JE Bara Industrial & Engineering Chemistry Research 62 (6), 2959-2967, 2023 | 1 | 2023 |
| Understanding the Role of Potential and Ion Concentration on the Structure of the Electric Double Layer Using Machine-Learning Interatomic Potential Simulations A Soyemi 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Understanding the Structure of the Electric Double Layer Using Machine-Learning Interatomic Potential Simulations A Soyemi, T Szilvasi 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Multiscale Simulation Framework to Study Plastic Transformations S Ezendu, A Soyemi, T Szilvasi 2024 AIChE Annual Meeting, 2024 | | 2024 |
| CO Oxidation over Metal Phthalocyanines Encapsulated in Faujasite Zeolites E Iaia, G Rana, A Soyemi, T Szilvasi, MG Bakker, JW Harris 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Computational High-Throughput Screening of Glycerol-Derived Solvents for Plastic Waste Recycling A Soyemi, T Szilvasi 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Developing Physically Meaningful and Accurate Machine Learning Interatomic Potentials for Catalysis T Maxson, A Soyemi, T Szilvasi 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Zeolite encapsulated organometallic complexes as model catalysts EP Iaia, A Soyemi, T Szilvási, JW Harris Dalton Transactions 52 (44), 16103-16112, 2023 | | 2023 |
| Properties of Imidazolium Ionic Liquids with Glycerol-Derived Functional Groups S Qian, JD Leah, S Chatterjee, A Soyemi, T Szilvási, JE Bara Journal of Chemical & Engineering Data 67 (8), 1905-1914, 2022 | | 2022 |
Tibor SzilvásiThe University of AlabamaVerified email at ua.edu