Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Marjolein Dijkstra"'
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract Computational investigations of biological and soft-matter systems governed by strongly anisotropic interactions typically require resource-demanding methods such as atomistic simulations. However, these techniques frequently prove to be pro
Externí odkaz:
https://doaj.org/article/da5daa3fb62f4163bc96c66c735716aa
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Skyrmions are topologically protected, vortex-like structures found in various condensed-matter systems including helical ferromagnets and liquid crystals, typically arising from chiral interactions. Using extensive particle-based simulation
Externí odkaz:
https://doaj.org/article/3d4c3a9bd7c145228459d4e28ac9c836
Autor:
Susana Marín-Aguilar, Fabrizio Camerin, Stijn van der Ham, Andréa Feasson, Hanumantha Rao Vutukuri, Marjolein Dijkstra
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract It is commonly believed that the most efficient way to pack a finite number of equal-sized spheres is by arranging them tightly in a cluster. However, mathematicians have conjectured that a linear arrangement may actually result in the dense
Externí odkaz:
https://doaj.org/article/53c9a0e8a84c41f2871f2ad6a2b8855c
Autor:
Ramakrishna Kotni, Albert Grau-Carbonell, Massimiliano Chiappini, Marjolein Dijkstra, Alfons van Blaaderen
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Different shapes of molecules or particles can exhibit various liquid crystal phases. The authors report on an experimental discovery of a so called splay-bend nematic liquid crystal phase in a colloidal system of bent silica rods.
Externí odkaz:
https://doaj.org/article/83bcdda1afb641f697276216ac0979de
Autor:
Da Wang, Michiel Hermes, Stan Najmr, Nikos Tasios, Albert Grau-Carbonell, Yang Liu, Sara Bals, Marjolein Dijkstra, Christopher B. Murray, Alfons van Blaaderen
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Nanoplatelets can be used as anisotropic building blocks for constructing novel optoelectronic materials. Here, Wang et al. show a route of assembling nanoplatelets with controllable positional and orientational order in three dimensions facilitated
Externí odkaz:
https://doaj.org/article/2a6115ad8e0d404c96571e85fd17e545
Autor:
Patrick Ober, Willem Q. Boon, Marjolein Dijkstra, Ellen H. G. Backus, René van Roij, Mischa Bonn
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Reactions at the interface between mineral surfaces and flowing liquids are ubiquitous in nature. Here the authors explore, using surface-specific sum frequency generation spectroscopy and numeric calculations, how the liquid flow affects the chargin
Externí odkaz:
https://doaj.org/article/19e716d88c2e485290275d9997f2a964
Autor:
Da Wang, Ernest B. van der Wee, Daniele Zanaga, Thomas Altantzis, Yaoting Wu, Tonnishtha Dasgupta, Marjolein Dijkstra, Christopher B. Murray, Sara Bals, Alfons van Blaaderen
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
3D real-space analysis of thick nanoparticle crystals is non-trivial. Here, the authors demonstrate the structural analysis of a bulk-like Laves phase by imaging an off-stoichiometric binary mixture of hard-sphere-like nanoparticles in spherical conf
Externí odkaz:
https://doaj.org/article/23e485d37e7845058a781e742ab08634
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
The so-called twist-bend and splay-bend nematic liquid crystal phases are important concepts for studying bent-core mesogens. Chiappini et al. use a theory/simulation approach to suggest that the transition proceed via a twist-splay-bend phase which
Externí odkaz:
https://doaj.org/article/4f0ee48d8bed4e4981d381704aca0f85
Autor:
Jean-Louis Barrat, Emanuela Del Gado, Stefan U Egelhaaf, Xiaoming Mao, Marjolein Dijkstra, David J Pine, Sanat K Kumar, Kyle Bishop, Oleg Gang, Allie Obermeyer, Christine M Papadakis, Constantinos Tsitsilianis, Ivan I Smalyukh, Aurelie Hourlier-Fargette, Sebastien Andrieux, Wiebke Drenckhan, Norman Wagner, Ryan P Murphy, Eric R Weeks, Roberto Cerbino, Yilong Han, Luca Cipelletti, Laurence Ramos, Wilson C K Poon, James A Richards, Itai Cohen, Eric M Furst, Alshakim Nelson, Stephen L Craig, Rajesh Ganapathy, Ajay Kumar Sood, Francesco Sciortino, Muhittin Mungan, Srikanth Sastry, Colin Scheibner, Michel Fruchart, Vincenzo Vitelli, S A Ridout, M Stern, I Tah, G Zhang, Andrea J Liu, Chinedum O Osuji, Yuan Xu, Heather M Shewan, Jason R Stokes, Matthias Merkel, Pierre Ronceray, Jean-François Rupprecht, Olga Matsarskaia, Frank Schreiber, Felix Roosen-Runge, Marie-Eve Aubin-Tam, Gijsje H Koenderink, Rosa M Espinosa-Marzal, Joaquin Yus, Jiheon Kwon
Publikováno v:
JPhys Materials, Vol 7, Iss 1, p 012501 (2023)
Soft materials are usually defined as materials made of mesoscopic entities, often self-organised, sensitive to thermal fluctuations and to weak perturbations. Archetypal examples are colloids, polymers, amphiphiles, liquid crystals, foams. The impor
Externí odkaz:
https://doaj.org/article/e3b13890a08a4e0db04b1d218c881f8b
Autor:
Simone Ciarella, Massimiliano Chiappini, Emanuele Boattini, Marjolein Dijkstra, Liesbeth M C Janssen
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 2, p 025010 (2023)
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:
https://doaj.org/article/ef5c796db2bf402780f66b5640baaa0b