With high resolution （1 kin）, the distribution of wind energy resources in Hainan province and over its offshore waters is numerically simulated by using the Wind Energy Simulation Toolkit （WEST） model developed b...With high resolution （1 kin）, the distribution of wind energy resources in Hainan province and over its offshore waters is numerically simulated by using the Wind Energy Simulation Toolkit （WEST） model developed by Meteorological Research Branch of Environment Canada. Compared with observations from eight coastal anemometric towers and 18 existing stations in the province, the simulations show good reproduction of the real distribution of wind resources in Hainan and over its offshore waters, with the relative error of annual mean wind speed being no more than 9% at the 70-m level. Moreover, based on the simulated results of WEST grids that are closest to where the eight wind towers are located, the annual mean wind speeds are further estimated by using the Danish software Wasp （Wind Atlas Analysis and Application Program）. The estimated results are then compared with the observations from the towers. It shows that the relative error is also less than 9%. Therefore, WEST and WEST＋WAsP will be useful tools for the assessment of wind energy resources in high resolution and selection of wind farm sites in Hainan province and over its offshore waters.展开更多
Multi-scale modeling of polymer systems remains a fundamental challenge in materials sci-ence due to the strongly coupled structures and dynamics across atomic,mesoscopic,and macroscopic scales.Here,we present PyGAMD-...Multi-scale modeling of polymer systems remains a fundamental challenge in materials sci-ence due to the strongly coupled structures and dynamics across atomic,mesoscopic,and macroscopic scales.Here,we present PyGAMD-ChemFAST(Python GPU-accelerated molecular dynamics-chemical-friendly automated simulation toolkit),an integrated modeling and simulation framework that combines a molecular simulation platform with an automated modeling and processing toolkit.The framework supports bidirectional cross-scale modeling,integrating the mapping from all-atom(AA)to coarse-grained(CG)models in coarse-grain-ing and from CG back to AA in fine-graining,while automating the entire workflow from model parameterization through dynamics simulation to property analysis.It accommodates complex polymer topologies and ensures cross-scale force field compatibility.By unifying modeling and simulation in a programmable environment,PyGAMD-ChemFAST enhances computational efficiency and ensures parameter consistency,especially in studying phase sep-aration,glass transition,crystallization,and mechanical behavior.This integrated framework provides an efficient and reliable platform for high-throughput,multi-scale polymer research.展开更多
基金Project for Popularization of Advanced Meteorological Technology for 2006, China Meteorological Administration (CMATG2006M41)
文摘With high resolution （1 kin）, the distribution of wind energy resources in Hainan province and over its offshore waters is numerically simulated by using the Wind Energy Simulation Toolkit （WEST） model developed by Meteorological Research Branch of Environment Canada. Compared with observations from eight coastal anemometric towers and 18 existing stations in the province, the simulations show good reproduction of the real distribution of wind resources in Hainan and over its offshore waters, with the relative error of annual mean wind speed being no more than 9% at the 70-m level. Moreover, based on the simulated results of WEST grids that are closest to where the eight wind towers are located, the annual mean wind speeds are further estimated by using the Danish software Wasp （Wind Atlas Analysis and Application Program）. The estimated results are then compared with the observations from the towers. It shows that the relative error is also less than 9%. Therefore, WEST and WEST＋WAsP will be useful tools for the assessment of wind energy resources in high resolution and selection of wind farm sites in Hainan province and over its offshore waters.
基金supported by Advanced Materials-Na-tional Science and Technology Major Project(No.2025ZD0618702)the National Natural Science Foundation of China(No.22273031)+1 种基金the National Key R&D Program of China(No.2022YFB3707300)the Program for the Jilin University Science and Tech-nology Innovative Research Team.
文摘Multi-scale modeling of polymer systems remains a fundamental challenge in materials sci-ence due to the strongly coupled structures and dynamics across atomic,mesoscopic,and macroscopic scales.Here,we present PyGAMD-ChemFAST(Python GPU-accelerated molecular dynamics-chemical-friendly automated simulation toolkit),an integrated modeling and simulation framework that combines a molecular simulation platform with an automated modeling and processing toolkit.The framework supports bidirectional cross-scale modeling,integrating the mapping from all-atom(AA)to coarse-grained(CG)models in coarse-grain-ing and from CG back to AA in fine-graining,while automating the entire workflow from model parameterization through dynamics simulation to property analysis.It accommodates complex polymer topologies and ensures cross-scale force field compatibility.By unifying modeling and simulation in a programmable environment,PyGAMD-ChemFAST enhances computational efficiency and ensures parameter consistency,especially in studying phase sep-aration,glass transition,crystallization,and mechanical behavior.This integrated framework provides an efficient and reliable platform for high-throughput,multi-scale polymer research.
