Enhancing Coarse-Grained Models through Machine Learning

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The system size and sampling time issues can be lessened by representing the system in a low-resolution “Coarse-Grained” (CG) model which significantly reduces the number of particles in the system. ... and material properties is of basic concern in modern soft material science and includes std. properties of bulk materials and surface and ...
Diorite : Properties, Formation, Composition and Uses - Geology Science
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Diorite: Diorite has a coarse-grained texture with visible mineral grains. Its color range is generally light to dark gray. Granite: Granite can have a coarse to medium-grained texture and is often speckled due to the presence of quartz and feldspar. Its color varies widely, including pink, gray, black, and white. Applications:
Granite | Composition, Properties, Types, & Uses | Britannica
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granite, coarse- or medium-grained intrusive igneous rock that is rich in quartz and feldspar; it is the most common plutonic rock of the Earth’s crust, forming by the cooling of magma (silicate melt) at depth. Learn about the use of gamma-ray spectroscopy to identify the quarry that was the source of granite found in ancient Roman ruins. See ...
Coarse-grained models - Latest research and news | Nature
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Coarse-grained models are computational models that mimic the behaviour of a complex system by breaking it down into simpler sub-components. ... Revealing process and material parameter effects on ...
Formations of force network and softening of amorphous elastic ... - Nature
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Recently, coarse-grained models have successfully demonstrated the fracture of amorphous materials 22,23. In these models, it is assumed that density is heterogeneous, and the shear modulus ...
Uncertainty driven active learning of coarse grained free ... - Nature
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Top-down coarse grained force fields are well established with widespread use across different applications 3,4,12,13,14,15,16,17,18,20,21, while the development of bottom-up coarse grained models ...
Coarse-Grained Crystal Graph Neural Networks for Reticular Materials ...
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Coarse-grained crystal graph neural networks showed decent accuracy at low computational costs, making them a valuable alternative to omnipresent atomic-level algorithms. Moreover, the presented models can be successfully integrated into an inverse materials design pipeline as estimators of the objective function.
Structural Coarse-Graining via Multiobjective Optimization with ...
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In the realm of multiscale molecular simulations, structure-based coarse-graining is a prominent approach for creating efficient coarse-grained (CG) representations of soft matter systems, such as polymers. This involves optimizing CG interactions by matching static correlation functions of the corresponding degrees of freedom in all-atom (AA) models. Here, we present a versatile method ...
Coarse‐grained molecular dynamics simulation of polymers: Structures ...
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State Key Laboratory of Supramolecular Structure and Materials, Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun, China. ... For the simulations of polymeric systems, coarse-grained (CG) molecular dynamics simulations are computationally demanding not only because of their high computational efficiency, but ...
Studying the mechanical behavior of a generic thermoplastic by means of ...
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In general, coarse graining is divided into bottom-up and top-down strategies. 21 The former establishes a structural mapping based on atomistic reference simulations and thus transfers the chemical and physical characteristics to the coarse-grained scale. 20 Bottom-up coarse graining typically suffers limited transferability to different ...
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Distilling coarse-grained representations of molecular electronic ...
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Bottom-up methods for coarse-grained (CG) molecular modeling are critically needed to establish rigorous links between atomistic reference data and reduced molecular representations. For a target molecule, the ideal reduced CG representation is a function of both the conformational ensemble of the system and the target physical observable(s) to ...
Coarse-grained crystal graph neural networks for reticular materials design
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Coarse-grained crystal graph neural networks showed decent accuracy at low computational costs, making them a valuable alternative to omnipresent atomic-level algorithms. Moreover, the presented models can be successfully integrated into an inverse materials design pipeline as estimators of the objective function.
Learning Collective Variables and Coarse Grained Models
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Lightning Talks. Luke Evans, Model Misspecification and Collective Variables in Simulation-based inference for cryo-EM Matteo Carli, Nonparametric free energy estimation in high-dimensional CV spaces John Maier, Designing target-optimized coarse-grained representations for soft materials using attentive message-passing Xiaoou Cheng, The surprising efficiency of temporal difference learning for ...
Coarse-grained force field for ZIF-8: A study on adsorption, diffusion ...
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The intricate architecture of these materials necessitates the use of advanced computational techniques for a comprehensive understanding of their molecular structure and prediction of their physical properties. Coarse-grained (CG) simulations shine a spotlight on the often-neglected influences of defects, pressure effects, and spatial ...
Gaussian representation of coarse-grained interactions of liquids ...
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Low resolution coarse-grained (CG) models provide remarkable com- putational and conceptual advantages for simulating soft materials. In principle, bottom-up CG models can reproduce all structural and thermodynamic properties of atomically detailed models that can be observed at the resolution of the CG model.
Coarse-Grained Crystal Graph Neural Networks for Reticular Materials Design
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A new way of representing materials is proposed, aiming to overcome the limitations of existing methods; the message passing is performed on the coarse-grained crystal graph that comprises molecular building units, which aims to challenge the prevailing atomic-centric perspective on reticular materials design. Reticular materials, including metal-organic frameworks and covalent organic ...
Granularity: Coarse-Grained vs. Fine-Grained - Baeldung
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So, we’ll compare coarse-grained and fine-grained concepts in a systematic summary. 2. Coarse Granularity. We can see coarse-grained entities as a small collection of components (or even a monolithic entity) executing high-level operations or representing complex elements. But, granularity is a dynamic concept: the scenario defines which is ...
Strengthening mechanisms analysis and tailoring of bimodal grain ...
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In particular, materials with a bimodal grain size distribution demonstrate high strength and high ductility; ultrafine grains contribute to strength and coarse grains ensure ductility [18,19,20,21,22]. HEAs with bimodal grain size distributions have been fabricated using both traditional ingot metallurgy and powder metallurgy processes.
Igneous Rocks - Types, Properties, and Examples
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Phaneritic: Coarse-grained texture due to slow cooling (typical of plutonic rocks). Granite is a common example of a phaneritic igneous rock. This rock has large, visible crystals of minerals such as quartz, feldspar, and mica. Aphanitic: Fine-grained texture due to rapid cooling (typical of volcanic rocks).
Diabase or Dolerite : Properties, Composition, Formation - Geology Science
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1. Texture and Grain Size: Diabase typically exhibits a medium- to coarse-grained texture, meaning that its mineral crystals are visible to the naked eye. The size of the crystals can vary depending on the rate of cooling during the rock’s formation. Slower cooling leads to larger crystals, while faster cooling results in smaller crystals.