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A new approach for the prediction of partition functions using machine learning techniques
American Institute of Physics | 2018| -
Free energy calculations along entropic pathways. I. Homogeneous vapor-liquid nucleation for atomic and molecular systems
American Institute of Physics | 2016| -
Evaluation of the grand-canonical partition function using expanded Wang-Landau simulations. III. Impact of combining rules on mixtures properties
American Institute of Physics | 2014| -
Free energy calculations along entropic pathways. III. Nucleation of capillary bridges and bubbles
American Institute of Physics | 2017| -
Many-Body Effects on the Thermodynamics of Fluids, Mixtures, and Nanoconfined Fluids
American Chemical Society | 2015| -
Coarse-Grained Model and Boiling Point Prediction for Asphaltene Model Compounds via HMC-WL Simulations
American Chemical Society | 2017| -
Unraveling the Coupling between Demixing and Crystallization in Mixtures
American Chemical Society | 2014| -
Free energy calculations along entropic pathways. II. Droplet nucleation in binary mixtures
American Institute of Physics | 2016| -
Effect of the Composition on the Free Energy of Crystal Nucleation for CuPd Nanoalloys
American Chemical Society | 2016| -
Entropy production in model colloidal suspensions under shear via the fluctuation theorem
American Institute of Physics | 2020| -
Benchmark Free Energies and Entropies for Saturated and Compressed Water
American Chemical Society | 2017| -
Role of Liquid Polymorphism during the Crystallization of Silicon
American Chemical Society | 2011|
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