1 code implementation • 24 May 2021 • Jeta Molla, Alejandro Ponce de León Chávez, Takayuki Hiraoka, Tapio Ala-Nissila, Mikko Kivelä, Lasse Leskelä
We evaluate the efficiency of various heuristic strategies for allocating vaccines against COVID-19 and compare them to strategies found using optimal control theory.
no code implementations • 7 Jan 2021 • Alberto Scacchi, Sousa Javan Nikkhah, Maria Sammalkorpi, Tapio Ala-Nissila
We develop here a microscopic theoretical model based on effective interactions between the constituents of a soft matter system to explain self-organization both at single and multiple length scales.
Soft Condensed Matter
1 code implementation • 25 Sep 2019 • Zheyong Fan, Yanzhou Wang, Xiaokun Gu, Ping Qian, Yanjing Su, Tapio Ala-Nissila
Silicon is an important material and many empirical interatomic potentials have been developed for atomistic simulations of it.
Materials Science Computational Physics
1 code implementation • 15 Aug 2019 • Petri Hirvonen, Vili Heinonen, Haikuan Dong, Zheyong Fan, Ken R. Elder, Tapio Ala-Nissila
We extensively benchmark the model for two-dimensional binary systems in terms of their elastic properties and phase boundary configurations and their energetics.
Mesoscale and Nanoscale Physics
no code implementations • 27 May 2019 • Zhen Li, Shiyun Xiong, Charles Sievers, Yue Hu, Zheyong Fan, Ning Wei, Hua Bao, Shunda Chen, Davide Donadio, Tapio Ala-Nissila
Conventionally, the thermal conductivity of a finite system is calculated as the ratio between the heat flux and the temperature gradient extracted from the linear part of the temperature profile away from the local thermostats.
Mesoscale and Nanoscale Physics Statistical Mechanics Computational Physics
