Exploration and Optimization in Crystal Structure Prediction: Combining Basin Hopping with Quasi-Random Sampling

نویسندگان

چکیده

We describe the implementation of a Monte Carlo basin hopping (BH) global optimization procedure for prediction molecular crystal structures. The BH method is combined with quasi-random (QR) structure generation in hybrid prediction, QR-BH, which combines low-discrepancy sampling provided by QR sequences efficiency at locating low energy Through tests on set single-component crystals and co-crystals, we demonstrate that QR-BH provides faster location structures than pure sampling, while maintaining efficient higher are important identifying polymorphs.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Convergence Properties of Crystal Structure Prediction by Quasi-Random Sampling

Generating sets of trial structures that sample the configurational space of crystal packing possibilities is an essential step in the process of ab initio crystal structure prediction (CSP). One effective methodology for performing such a search relies on low-discrepancy, quasi-random sampling, and our implementation of such a search for molecular crystals is described in this paper. Herein we...

متن کامل

Protein structure prediction using basin-hopping.

Associative memory Hamiltonian structure prediction potentials are not overly rugged, thereby suggesting their landscapes are like those of actual proteins. In the present contribution we show how basin-hopping global optimization can identify low-lying minima for the corresponding mildly frustrated energy landscapes. For small systems the basin-hopping algorithm succeeds in locating both lower...

متن کامل

Crystal structure prediction using the minima hopping method.

A structure prediction method is presented based on the minima hopping method. To escape local minima, moves on the configurational enthalpy surface are performed by variable cell shape molecular dynamics. To optimize the escape steps the initial atomic and cell velocities are aligned to low curvature directions of the current local minimum. The method is applied to both silicon crystals and we...

متن کامل

Interleaving Optimization with Sampling-Based Motion Planning (IOS-MP): Combining Local Optimization with Global Exploration

Computing globally optimal motion plans for a robot is challenging in part because it requires analyzing a robot’s configuration space simultaneously from both a macroscopic viewpoint (i.e., considering paths in multiple homotopic classes) and a microscopic viewpoint (i.e., locally optimizing path quality). We introduce Interleaved Optimization with Sampling-based Motion Planning (IOS-MP), a ne...

متن کامل

Crystal structure prediction via particle-swarm optimization

We have developed a method for crystal structure prediction from “scratch” through particle-swarm optimization PSO algorithm within the evolutionary scheme. PSO technique is different with the genetic algorithm and has apparently avoided the use of evolution operators e.g., crossover and mutation . The approach is based on an efficient global minimization of free-energy surfaces merging total-e...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Chemical Theory and Computation

سال: 2021

ISSN: ['1549-9618', '1549-9626']

DOI: https://doi.org/10.1021/acs.jctc.0c01101