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An Electric Vehicle Simulator for Realistic Battery Signals Generation from Data-sheet and Real-world Data.

, , , , , , and . COMPSAC, page 1501-1506. IEEE, (2023)

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A 3D-QSAR-Driven Approach to Binding Mode and Affinity Prediction., and . J. Chem. Inf. Model., 52 (2): 302-307 (2012)An Electric Vehicle Simulator for Realistic Battery Signals Generation from Data-sheet and Real-world Data., , , , , , and . COMPSAC, page 1501-1506. IEEE, (2023)Hybrid Alchemical Free Energy/Machine-Learning Methodology for the Computation of Hydration Free Energies., , , , , and . J. Chem. Inf. Model., 60 (11): 5331-5339 (2020)Comparative Analysis of Neural Networks Techniques for Lithium-ion Battery SOH Estimation., , , , , , , and . COMPSAC, page 1355-1361. IEEE, (2022)COSMOsar3D: Molecular Field Analysis Based on Local COSMO σ-Profiles., , , and . Journal of Chemical Information and Modeling, 52 (8): 2157-2164 (2012)Bringing the MMFF force field to the RDKit: implementation and validation., , and . J. Cheminformatics, 6 (1): 37 (2014)Assessment of Binding Affinity via Alchemical Free-Energy Calculations., , , , , and . J. Chem. Inf. Model., 60 (6): 3120-3130 (2020)The integration of Open3DTOOLS into the RDKit and KNIME., , and . J. Cheminformatics, 6 (S-1): 8 (2014)3D-QSAR reloaded: Open3DALIGN meets COSMOsar3D., and . J. Cheminformatics, 5 (S-1): 13 (2013)Open3DALIGN: an open-source software aimed at unsupervised ligand alignment., , and . J. Comput. Aided Mol. Des., 25 (8): 777-783 (2011)