Computational Approaches for Chemistry Under Extreme Conditions Computational Approaches for Chemistry Under Extreme Conditions
Book 28 - Challenges and Advances in Computational Chemistry and Physics

Computational Approaches for Chemistry Under Extreme Conditions

    • 109,99 €
    • 109,99 €

Publisher Description

This book presents recently developed computational approaches for the study of reactive materials under extreme physical and thermodynamic conditions. It delves into cutting edge developments in simulation methods for reactive materials, including quantum calculations spanning nanometer length scales and picosecond timescales, to reactive force fields, coarse-grained approaches, and machine learning methods spanning microns and nanoseconds and beyond. These methods are discussed in the context of a broad range of fields, including prebiotic chemistry in impacting comets, studies of planetary interiors, high pressure synthesis of new compounds, and detonations of energetic materials. The book presents a pedagogical approach for these state-of-the-art approaches, compiled into a single source for the first time. Ultimately, the volume aims to make valuable research tools accessible to experimentalists and theoreticians alike for any number of scientific efforts, spanning many differenttypes of compounds and reactive conditions.

GENRE
Science & Nature
RELEASED
2019
18 February
LANGUAGE
EN
English
LENGTH
301
Pages
PUBLISHER
Springer International Publishing
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
45
MB
Transition Metals in Coordination Environments Transition Metals in Coordination Environments
2019
Advances in Computational Toxicology Advances in Computational Toxicology
2019
QM/MM Studies of Light-responsive Biological Systems QM/MM Studies of Light-responsive Biological Systems
2020
Development of Solar Cells Development of Solar Cells
2021
QSPR/QSAR Analysis Using SMILES and Quasi-SMILES QSPR/QSAR Analysis Using SMILES and Quasi-SMILES
2023
Computational Modelling of Molecular Nanomagnets Computational Modelling of Molecular Nanomagnets
2023