Literatura académica sobre el tema "Industrial Chemistry - Computational Study - Molecules and Processes"
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Artículos de revistas sobre el tema "Industrial Chemistry - Computational Study - Molecules and Processes"
Oyewola, David Opeoluwa, Emmanuel Gbenga Dada, Onyeka Emebo y Olugbenga Oluseun Oluwagbemi. "Using Deep 1D Convolutional Grated Recurrent Unit Neural Network to Optimize Quantum Molecular Properties and Predict Intramolecular Coupling Constants of Molecules of Potential Health Medications and Other Generic Molecules". Applied Sciences 12, n.º 14 (18 de julio de 2022): 7228. http://dx.doi.org/10.3390/app12147228.
Texto completoLanero, Francesco, Bianca Maria Bresolin, Anna Scettri, Marco Nogarole, Elisabetta Schievano, Stefano Mammi, Giacomo Saielli et al. "Activation of Vegetable Oils by Reaction with Maleic Anhydride as a Renewable Source in Chemical Processes: New Experimental and Computational NMR Evidence". Molecules 27, n.º 23 (23 de noviembre de 2022): 8142. http://dx.doi.org/10.3390/molecules27238142.
Texto completoAng, Dale L., Mubasher Zahir Hoque, Md Abir Hossain, Gea Guerriero, Roberto Berni, Jean-Francois Hausman, Saleem A. Bokhari, Wallace J. Bridge y Khawar Sohail Siddiqui. "Computational Analysis of Thermal Adaptation in Extremophilic Chitinases: The Achilles’ Heel in Protein Structure and Industrial Utilization". Molecules 26, n.º 3 (29 de enero de 2021): 707. http://dx.doi.org/10.3390/molecules26030707.
Texto completoCruz, Guillermo, Javier Acosta, Jose Miguel Mancheño, Jon Del Arco y Jesús Fernández-Lucas. "Rational Design of a Thermostable 2′-Deoxyribosyltransferase for Nelarabine Production by Prediction of Disulfide Bond Engineering Sites". International Journal of Molecular Sciences 23, n.º 19 (5 de octubre de 2022): 11806. http://dx.doi.org/10.3390/ijms231911806.
Texto completoPilon, Alan Cesar, Marcelo Del Grande, Maíra R. S. Silvério, Ricardo R. Silva, Lorena C. Albernaz, Paulo Cézar Vieira, João Luis Callegari Lopes, Laila S. Espindola y Norberto Peporine Lopes. "Combination of GC-MS Molecular Networking and Larvicidal Effect against Aedes aegypti for the Discovery of Bioactive Substances in Commercial Essential Oils". Molecules 27, n.º 5 (28 de febrero de 2022): 1588. http://dx.doi.org/10.3390/molecules27051588.
Texto completoToghan, Arafat, Ahmed Fawzy, Areej Al Bahir, Nada Alqarni, Moustafa M. S. Sanad, Mohamed Khairy, Abbas I. Alakhras y Ahmed A. Farag. "Computational Foretelling and Experimental Implementation of the Performance of Polyacrylic Acid and Polyacrylamide Polymers as Eco-Friendly Corrosion Inhibitors for Copper in Nitric Acid". Polymers 14, n.º 22 (8 de noviembre de 2022): 4802. http://dx.doi.org/10.3390/polym14224802.
Texto completoVillalba-Diez, Javier y Xiaochen Zheng. "Quantum Strategic Organizational Design: Alignment in Industry 4.0 Complex-Networked Cyber-Physical Lean Management Systems". Sensors 20, n.º 20 (16 de octubre de 2020): 5856. http://dx.doi.org/10.3390/s20205856.
Texto completoHu, Youxi, Chao Liu, Ming Zhang, Yu Jia y Yuchun Xu. "A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing". Sensors 23, n.º 3 (2 de febrero de 2023): 1652. http://dx.doi.org/10.3390/s23031652.
Texto completoAndrade, Ana, Kennedy Lopes, Bernardo Lima y André Maitelli. "Development of a Methodology Using Artificial Neural Network in the Detection and Diagnosis of Faults for Pneumatic Control Valves". Sensors 21, n.º 3 (27 de enero de 2021): 853. http://dx.doi.org/10.3390/s21030853.
Texto completoMarinov, Marin B., Nikolay Nikolov, Slav Dimitrov, Todor Todorov, Yana Stoyanova y Georgi T. Nikolov. "Linear Interval Approximation for Smart Sensors and IoT Devices". Sensors 22, n.º 3 (26 de enero de 2022): 949. http://dx.doi.org/10.3390/s22030949.
Texto completoCapítulos de libros sobre el tema "Industrial Chemistry - Computational Study - Molecules and Processes"
Germain, Aurèle, Marta Corno y Piero Ugliengo. "Computing Binding Energies of Interstellar Molecules by Semiempirical Quantum Methods: Comparison Between DFT and GFN2 on Crystalline Ice". En Computational Science and Its Applications – ICCSA 2021, 632–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86976-2_43.
Texto completoActas de conferencias sobre el tema "Industrial Chemistry - Computational Study - Molecules and Processes"
Mallouppas, George, Graham Goldin, Yongzhe Zhang, Piyush Thakre y Jim Rogerson. "Validation of Chemistry Acceleration Techniques With an Industrial Gas Turbine". En ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90218.
Texto completoKrzhizhanovskaya, V. V., M. A. Zatevakhin, A. A. Ignatiev, Yu E. Gorbachev, W. J. Goedheer y P. M. A. Sloot. "A 3D Virtual Reactor for Simulation of Silicon-Based Film Production". En ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-3120.
Texto completoMoiseeva, Elena F., Victor L. Malyshev, Dmitriy F. Marin, Nail A. Gumerov y Iskander Sh Akhatov. "Molecular Dynamics Simulations of Nanobubbles Formation Near the Substrate in a Liquid With Dissolved Gas". En ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37050.
Texto completoCristea, Eugen-Dan y Pierangelo Conti. "Numerical Investigation on Multiphase Reacting/Combusting Turbulent Flows: Aerodynamics, Kinetics, Heat and Mass Transfer Inside a Cement Kiln Precalciner". En ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ajkfluids2019-5033.
Texto completoSavarese, Matteo, Alberto Cuoci, Ward De Paepe y Alessandro Parente. "Automatic extraction of Chemical Reactor Networks from CFD data via advanced clustering algorithms". En GPPS Xi'an21. GPPS, 2022. http://dx.doi.org/10.33737/gpps21-tc-349.
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