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Digital
Advances in Artificial Intelligence : 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015 Albacete, Spain, November 9–12, 2015 Proceedings
Authors: --- --- --- --- --- et al.
ISBN: 9783319245980 9783319245973 9783319245997 Year: 2015 Publisher: Cham Springer International Publishing

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Abstract

This book constitutes the refereed proceedings of the 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, held in Albacete, Spain, in November 2015. The 31 revised full papers presented were carefully selected from 175 submissions. The papers are organized in topical sections on Bayesian networks and uncertainty modeling; fuzzy logic and soft computing; knowledge representation, reasoning, and logic; intelligent systems and environment; intelligent Web and recommender systems; machine learning and data mining; metaheuristics and evolutionary computation; and social robotics.


Dissertation
Automation techniques for exploring potential energy surfaces of chemical reactions with quantum chemistry
Authors: --- --- ---
Year: 2022 Publisher: Leuven KU Leuven. Faculty of Science

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Abstract

Due to the large chemical space in which realistic multi-step chemical transformations take place, the exhaustive exploration of the region of this space that is relevant for the full description of this transformation, including locating all relevant intermediates and transition states, is a very hard task to perform. Not only the computational time needed is large, but also the amount of user time needed to set up and analyze calculations for each of the species.Therefore, it becomes essential to look for new methodologies that allow the mapping of stationary points on the potential energy surface in an automatic way. The computational efficiency development along the last years allows the grow of data management, with the consequent arise of new and faster algorithms that let us tackling the described problem. In this research we will focus on the automation of reaction mechanisms using tools such as graph theory, machine learning, etc. The goal of our research will be to apply these new techniques to realistic chemical reactions of relevance in the chemical industry.

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