visualization and analysis of atomistic simulation data with ovito-the open visualization tool (OVITO GmbH)
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OVITO GmbH
visualization and analysis of atomistic simulation data with ovito-the open visualization tool
Visualization And Analysis Of Atomistic Simulation Data With Ovito The Open Visualization Tool, supplied by OVITO GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/visualization+and+analysis+of+atomistic+simulation+data+with+ovito-the+open+visualization+tool/visualization+and+analysis+of+atomistic+simulation+data+with+ovito+the+open+visualization+tool/pm40545751-530-6-15
Average 90 stars, based on 1 article reviews
Visualization And Analysis Of Atomistic Simulation Data With Ovito The Open Visualization Tool, supplied by OVITO GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/visualization+and+analysis+of+atomistic+simulation+data+with+ovito-the+open+visualization+tool/visualization+and+analysis+of+atomistic+simulation+data+with+ovito+the+open+visualization+tool/pm40545751-530-6-15
Average 90 stars, based on 1 article reviews
visualization and analysis of atomistic simulation data with ovito-the open visualization tool - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Nanoscale Structure–Property Relationships of Cyanate Ester as a Function of Extent of Cure Article Snippet: Macromolecules 2020, 53 (22), 9953−9961. (33) Stukowski, A. Visualization and analysis of atomistic simulation data with Article Title: VIAMD: a Software for Visual Interactive Analysis of Molecular Dynamics. Article Snippet: SAMSON. https://www.samson-connect.net/. (7) Stukowski, A. Visualization and analysis of atomistic simulation data with Article Title: Molecular Dynamics Simulations of Oil Detachment from Hydrophobic Surfaces by Using Janus Nanoparticles. Article Snippet: Langmuir 2011, 27, 5264−5274. (46) Stukowski, A. Visualization and analysis of atomistic simulation data with Article Title: Predicted Fracture Tendency of Naturally Occurring Aluminum Surface Coatings under Tensile Loading. Article Snippet: Naturally occurring coatings on aluminum metal, such as its oxide or hydroxide, serve to protect the material from corrosion.. Understanding the conditions under which these coatings mechanically fail is therefore expected to be an important aspect of predictive models for aluminum component lifetimes.. To this end, we develop and apply a molecular dynamics (MD) modeling framework for conducting tension tests that is capable of isolating factors governing the mechanical strength as a function of coating chemistry, defect morphology, and variables associated with the loading path. Article Title: Study on the Erosion Resistance of Different TiN Crystal Planes by Molecular Dynamics. Article Snippet: In this study, we innovatively combined the Fe− Ti−N potential function file to construct simulation models of different crystal facets of TiN/Fe ((001), (110), and (111)), which had not been previously explored.. Employing molecular dynamics (MD) simulations, the research investigates the microscale differences in erosion resistance and surface properties of various TiN crystal planes under continuous impacts at varying velocities and angles.. The results indicate that both surface wear and internal defects of the model increase with the impact velocity. Article Title: Highly accurate and efficient potential for bcc iron assisted by artificial neural networks Article Snippet: Atomic forces and energies, calculated by interatomic potential, are fundamental components of molecular dynamics (MD) and Monte Carlo (MC) simulations.. Compared with traditional potentials, machine-learning (ML) potentials trained by using extensive density-functional theory databases exhibit high accuracy in predicting physical and chemical properties of materials, but their transferability often faces constraints.. To address this limitation, physically informed neural network (PINN) potentials have been developed. Article Title: Theoretical Catalyst Screening of Multielement Alloy Catalysts for Ammonia Synthesis Using Machine Learning Potential and Generative Artificial Intelligence Article Snippet: ACS Omega 2021, 6 (4), 3218−3226. (66) Stukowski, A. Visualization and Analysis of Atomistic Simulation Data with Article Title: Bending Moiré in Twisted Bilayer Graphene. Article Snippet: Moire ́ potentials caused by lattice mismatches significantly alter electrons in two-dimensional materials, inspiring the discovery of numerous unique physical properties.. While strain modulates the structure and symmetry of the moire ́ potential, serving as a tuning mechanism for interactions, the impact of out-of-plane deformation, e.g., bending, on the moire ́ superlattice remains unknown.. Here, we performed large-scale molecular dynamics simulations to study the evolution of the moire ́ superlattice of twisted bilayer graphene under out-of-plane bending deformation. |