Ahmed Salih Mohammed 
- : Multivariate analysis of variance in nano-silica in concrete evolution: modelling strength and sustainability. In: Asian Journal of Civil Engineering.
- (2024): Reinventing concrete: a comprehensive review of mechanical strength with recycled plastic waste integration. In: Journal of Building Pathology and Rehabilitation, v. 9, n. 2 (29 Mai 2024).
- (2024): Optimizing building insulation with silica nanoparticles: a study on lime-based roof and screed pastes for enhanced compressive strength and thermogravimetric analysis. In: European Journal of Environmental and Civil Engineering, v. 28, n. 11 (März 2024).
- (2024): Sustainable innovation in self-compacted concrete: Integrating by-products and waste rubber for green construction practices. In: Structures, v. 62 (April 2024).
- (2023): Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete. In: Construction and Building Materials, v. 400 (Oktober 2023).
- (2023): Soft computing models to evaluate the effect of fly ash and ground granulated blast furnace slag (GGBS) on the compressive strength of concrete in normal and high strength ranges. In: Structures, v. 58 (Dezember 2023).
- (2024): Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar. In: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 3 (März 2024).
- (2023): Prediction of the compressive strength of strain‐hardening cement‐based composites using soft computing models. In: Structural Concrete, v. 24, n. 5 (Oktober 2023).
- (2023): Compressive strength and piezoresistivity of smart cement paste modified with waste steel slag. In: Journal of Building Engineering, v. 70 (Juli 2023).
- (2023): Effitioned soft computing models to evaluate the impact of silicon dioxide (SiO2) to calcium oxide (CaO) ratio in fly ash on the compressive strength of concrete. In: Journal of Building Engineering, v. 74 (September 2023).
- (2023): Analysis and prediction of the effect of Nanosilica on the compressive strength of concrete with different mix proportions and specimen sizes using various numerical approaches. In: Structural Concrete, v. 24, n. 3 (April 2023).
- (2023): Efficient models to evaluate the effect of C3S, C2S, C3A, and C4AF contents on the long-term compressive strength of cement paste. In: Structures, v. 47 (Januar 2023).
- (2023): Effect of temperature on the internal components including portlandite, weight loss, and compression stress-strain behavior of lime-based roof and screed paste. In: Journal of Building Engineering, v. 69 (Juni 2023).
- (2022): Efficient Models to Evaluate the Effect of Temperature on the Water Loss, Filter Cake, and Yield Stress of Polymerized Clay Bentonite Using in the Oil Well Drilling Operation. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 47, n. 2 (Juli 2022).
- (2022): Microstructure and chemo-physical characterizations, thermal properties, and modeling of the compression stress-strain behavior of lime-based roof and screed paste. In: European Journal of Environmental and Civil Engineering, v. 27, n. 12 (Dezember 2022).
- (2022): Prediction of concrete materials compressive strength using surrogate models. In: Structures, v. 46 (Dezember 2022).
- (2023): Multifunctional computational models to predict the long‐term compressive strength of concrete incorporated with waste steel slag. In: Structural Concrete, v. 24, n. 2 (April 2023).
- (2022): Metamodel techniques to estimate the compressive strength of UHPFRC using various mix proportions and a high range of curing temperatures. In: Construction and Building Materials, v. 349 (September 2022).
- (2022): Microstructure characterizations, thermal analysis, and compression stress–strain behavior of lime-based plaster. In: Construction and Building Materials, v. 350 (Oktober 2022).
- (2022): The impact of GGBS and ferrous on the flow of electrical current and compressive strength of concrete. In: Construction and Building Materials, v. 349 (September 2022).
- (2022): Improving the performance of recycled aggregate concrete using nylon waste fibers. In: Case Studies in Construction Materials, v. 17 (Dezember 2022).
- (2022): A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance. In: Buildings, v. 12, n. 7 (5 Juli 2022).
- (2022): Microstructure, chemical compositions, and soft computing models to evaluate the influence of silicon dioxide and calcium oxide on the compressive strength of cement mortar modified with cement kiln dust. In: Construction and Building Materials, v. 341 (Juli 2022).
- (2022): Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms. In: Buildings, v. 12, n. 2 (18 Januar 2022).
- (2021): Novel Fuzzy-Based Optimization Approaches for the Prediction of Ultimate Axial Load of Circular Concrete-Filled Steel Tubes. In: Buildings, v. 11, n. 12 (23 November 2021).
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