Zobrazeno 1 - 10
of 876
pro vyhledávání: '"Karttunen Mikko"'
Autor:
Glova, Artem, Karttunen, Mikko
Machine learning (ML) methods provide advanced means for understanding inherent patterns within large and complex datasets. Here, we employ the principal component analysis (PCA) and the diffusion map (DM) techniques to evaluate the glass transition
Externí odkaz:
http://arxiv.org/abs/2406.20018
We use lattice-Boltzmann molecular dynamics (LBMD) simulations to study the compression of a confined polymer immersed in a fluid and pushed by a large spherical colloid with a diameter comparable to the channel width. We examined the chain's deforma
Externí odkaz:
http://arxiv.org/abs/2406.14741
Electromagnetically propelled helical nanoswimmers offer great potential for nanorobotic applications. Here, the effect of confinement on their propulsion is characterized using lattice-Boltzmann simulations. Two principal mechanisms give rise to the
Externí odkaz:
http://arxiv.org/abs/2311.00839
Autor:
Kiyani, Elham, Kooshkbaghi, Mahdi, Shukla, Khemraj, Koneru, Rahul Babu, Li, Zhen, Bravo, Luis, Ghoshal, Anindya, Karniadakis, George Em, Karttunen, Mikko
The molten sand, a mixture of calcia, magnesia, alumina, and silicate, known as CMAS, is characterized by its high viscosity, density, and surface tension. The unique properties of CMAS make it a challenging material to deal with in high-temperature
Externí odkaz:
http://arxiv.org/abs/2307.09142
Autor:
Kiyani, Elham, Sarvestani, Hamidreza Yazdani, Ravanbakhsh, Hossein, Behbahani, Razyeh, Ashrafi, Behnam, Rahmat, Meysam, Karttunen, Mikko
Topologically interlocking architectures can generate tough ceramics with attractive thermo-mechanical properties. This concept can make the material design pathway a challenging task, since modeling the whole design space is neither effective nor fe
Externí odkaz:
http://arxiv.org/abs/2305.11632
We propose a framework and an algorithm to uncover the unknown parts of nonlinear equations directly from data. The framework is based on eXtended Physics-Informed Neural Networks (X-PINNs), domain decomposition in space-time, but we augment the orig
Externí odkaz:
http://arxiv.org/abs/2305.10706
Tissue growth kinetics and interface dynamics depend on the properties of the tissue environment and cell-cell interactions. In cellular environments, substrate heterogeneity and geometry arise from a variety factors, such as the structure of the ext
Externí odkaz:
http://arxiv.org/abs/2303.10850
Autor:
Behbahani, Razyeh, Sarvestani, Hamidreza Yazdani, Fatehi, Erfan, Kiyani, Elham, Ashrafi, Behnam, Karttunen, Mikko, Rahmat, Meysam
Laser machining is a highly flexible non-contact manufacturing technique that has been employed widely across academia and industry. Due to nonlinear interactions between light and matter, simulation methods are extremely crucial, as they help enhanc
Externí odkaz:
http://arxiv.org/abs/2206.08747
One of the main questions regarding complex systems at large scales concerns the effective interactions and driving forces that emerge from the detailed microscopic properties. Coarse-grained models aim to describe complex systems in terms of coarse-
Externí odkaz:
http://arxiv.org/abs/2203.16692
Universality of interfacial roughness in growing epithelial tissue has remained a controversial issue. Kardar-Parisi-Zhang (KPZ) and Molecular Beam Epitaxy (MBE) universality classes have been reported among other behaviors including total lack of un
Externí odkaz:
http://arxiv.org/abs/2203.15883