Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Ciarella, Simone"'
Autor:
Braat, Quirine J. S., Janzen, Giulia, Jansen, Bas C., Debets, Vincent E., Ciarella, Simone, Janssen, Liesbeth M. C.
Cell motility in dense cell collectives is pivotal in various diseases like cancer metastasis and asthma. A central aspect in these phenomena is the heterogeneity in cell motility, but identifying the motility of individual cells is challenging. Prev
Externí odkaz:
http://arxiv.org/abs/2408.16368
Autor:
Janzen, Giulia, Smit, Casper, Visbeek, Samantha, Debets, Vincent E., Luo, Chengjie, Storm, Cornelis, Ciarella, Simone, Janssen, Liesbeth M. C.
Publikováno v:
2024 Phys. Rev. Materials 8, 025602
It is well established that physical aging of amorphous solids is governed by a marked change in dynamical properties as the material becomes older. Conversely, structural properties such as the radial distribution function exhibit only a very weak a
Externí odkaz:
http://arxiv.org/abs/2303.00636
Autor:
Janzen, Giulia, Smeets, Xander L. J. A., Debets, Vincent E., Luo, Chengjie, Storm, Cornelis, Janssen, Liesbeth M. C., Ciarella, Simone
Publikováno v:
2023 EPL 143 17004
A longstanding open question in the field of dense disordered matter is how precisely structure and dynamics are related to each other. With the advent of machine learning, it has become possible to agnostically predict the dynamic propensity of a pa
Externí odkaz:
http://arxiv.org/abs/2302.07353
Autor:
Ciarella, Simone, Chiappini, Massimiliano, Boattini, Emanuele, Dijkstra, Marjolein, Janssen, Liesbeth M. C.
We introduce a machine-learning approach to predict the complex non-Markovian dynamics of supercooled liquids from static averaged quantities. Compared to techniques based on particle propensity, our method is built upon a theoretical framework that
Externí odkaz:
http://arxiv.org/abs/2212.09338
Autor:
Ciarella, Simone, Khomenko, Dmytro, Berthier, Ludovic, Mocanu, Felix C., Reichman, David R., Scalliet, Camille, Zamponi, Francesco
Publikováno v:
Nature Communications 14, 4229 (2023)
Structural defects control the kinetic, thermodynamic and mechanical properties of glasses. For instance, rare quantum tunneling two-level systems (TLS) govern the physics of glasses at very low temperature. Because of their extremely low density, it
Externí odkaz:
http://arxiv.org/abs/2212.05582
Publikováno v:
Machine Learning: Science and Technology 4, 010501 (2023)
Several strategies have been recently proposed in order to improve Monte Carlo sampling efficiency using machine learning tools. Here, we challenge these methods by considering a class of problems that are known to be exponentially hard to sample usi
Externí odkaz:
http://arxiv.org/abs/2210.11145
Autor:
Mocanu, Felix C., Berthier, Ludovic, Ciarella, Simone, Khomenko, Dmytro, Reichman, David R., Scalliet, Camille, Zamponi, Francesco
Publikováno v:
J. Chem. Phys. 158, 014501 (2023)
The low-temperature quasi-universal behavior of amorphous solids has been attributed to the existence of spatially-localized tunneling defects found in the low-energy regions of the potential energy landscape. Computational models of glasses can be s
Externí odkaz:
http://arxiv.org/abs/2209.09579
Publikováno v:
Phys. Rev. E 104, 065302 (2021)
Generalized mode-coupling theory (GMCT) has recently emerged as a promising first-principles theory to study the poorly understood dynamics of glass-forming materials. Formulated as a hierarchical extension of standard mode-coupling theory (MCT), it
Externí odkaz:
http://arxiv.org/abs/2108.06829
The emergence of glassy dynamics and the glass transition in dense disordered systems is still not fully understood theoretically. Mode-coupling theory (MCT) has shown to be effective in describing some of the non-trivial features of glass formation,
Externí odkaz:
http://arxiv.org/abs/2103.16522
Autor:
Kolker, Jannis, Harrer, Johannes, Ciarella, Simone, Rey, Marcel, Ickler, Maret, Janssen, Liesbeth M. C., Vogel, Nicolas, Löwen, Hartmut
Publikováno v:
Soft Matter, 2021,17, 5581-5589
Thermo-responsive microgel particles can exhibit a drastic volume shrinkage upon increasing the solvent temperature. Recently we found that the spreading of poly(N-isopropylacrylamide)(PNiPAm) microgels at a liquid interface under the influence of su
Externí odkaz:
http://arxiv.org/abs/2102.01536