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molecular dynamics language model  (Molecular Dynamics Inc)

 
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    Molecular Dynamics Inc molecular dynamics language model
    Molecular Dynamics Language Model, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/molecular-dynamics+model/dynamics+language+model+molecular/pm41924827-70-12-12
    Average 86 stars, based on 1 article reviews
    molecular dynamics language model - by Bioz Stars, 2026-10
    86/100 stars

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    Article Title: Electric Dipole Moments of Nanosolvated Acid Molecules in Water Clusters
    Article Snippet: Additionally, a molecular-dynamics model suggests that even with a nominally bound impurity an enhanced dipole moment can arise due to the thermal and zero-point motion of the proton and the water molecules.

    Article Title: Phase Transformation, Twinning, and Detwinning of NiTi Shape-Memory Alloy Subject to a Shock Wave Based on Molecular-Dynamics Simulation
    Article Snippet: Based on the molecular-dynamics model as shown in , a total thickness of 6a, which approximates to a few layers of atoms, was set as the impact piston, and atomic potential energy E p was colored by using OVITO software to distinguish between the piston and the target; the gray part on the left side represents the piston, and the other represents the target, as shown in .

    Article Title: Electric Dipole Moments of Nanosolvated Acid Molecules in Water Clusters
    Article Snippet: Alternatively, a molecular-dynamics model suggests that the dynamical rovibrational polarization of the cluster’s water molecules can give rise to a large dipole moment even when the impurity remains nominally bound.

    Article Title: Disorder by design: A data-driven approach to amorphous semiconductors without total-energy functionals
    Article Snippet: In order to demonstrate the efficacy of the data-driven CMC19 approach over conventional approaches, using total-energy and forces, we now compare the results with an array of models from molecular dynamics and Monte Carlo simulations.

    Article Title: Hexatic smectic phase with algebraically decaying bond-orientational order
    Article Snippet: We investigated a molecular-dynamics model of 50000 identical particles confined to a cubic box with periodic boundary conditions interacting via the pair potential shown in Fig.1.

    Article Title: Imprinting bulk amorphous alloy at room temperature
    Article Snippet: It is theoretically proposed that a wide range of viscoplastic deformation occurring in a simple molecular-dynamics model of amorphous solids at low temperature .

    Article Title: Complexin-1 regulated assembly of single neuronal SNARE complex revealed by single-molecule optical tweezers
    Article Snippet: Interaction of the Complexin Accessory Helix with the C-Terminus of the SNARE Complex: Molecular-Dynamics Model of the Fusion Clamp.

    Article Title: The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents
    Article Snippet: Numerous factors impacting the NPF are identified and quantified in our observation analyses and simulations by a molecular-dynamics model. Turbulence generates higher local supersaturation that facilitates condensable vapor to be clustered to form new particles and thus favors the nucleation process.



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    Methods for characterizing the <t>dynamics</t> of IDR conformation ensembles. A. Experimental techniques suited for IDRs’ structural analysis. Experimental methods can provide actual conformations of IDRs, but often low resolution and low throughput. Currently, experimental data is primarily used to assist <t>Molecular</t> Dynamics (MD) <t>modeling,</t> which can significantly reduce computational requirements. B. Various levels of MD simulations for IDRs’ structural analysis. When selecting appropriate methods, it is important to balance the complexity of the research subject with efficiency. C. Machine learning, particularly the integration of ML with MD simulations, plays a crucial role in predicting IDR conformational ensembles. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
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    Methods for characterizing the dynamics of IDR conformation ensembles. A. Experimental techniques suited for IDRs’ structural analysis. Experimental methods can provide actual conformations of IDRs, but often low resolution and low throughput. Currently, experimental data is primarily used to assist Molecular Dynamics (MD) modeling, which can significantly reduce computational requirements. B. Various levels of MD simulations for IDRs’ structural analysis. When selecting appropriate methods, it is important to balance the complexity of the research subject with efficiency. C. Machine learning, particularly the integration of ML with MD simulations, plays a crucial role in predicting IDR conformational ensembles. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

    Journal: Fundamental Research

    Article Title: Decoding intrinsically disordered regions in biomolecular condensates

    doi: 10.1016/j.fmre.2025.01.013

    Figure Lengend Snippet: Methods for characterizing the dynamics of IDR conformation ensembles. A. Experimental techniques suited for IDRs’ structural analysis. Experimental methods can provide actual conformations of IDRs, but often low resolution and low throughput. Currently, experimental data is primarily used to assist Molecular Dynamics (MD) modeling, which can significantly reduce computational requirements. B. Various levels of MD simulations for IDRs’ structural analysis. When selecting appropriate methods, it is important to balance the complexity of the research subject with efficiency. C. Machine learning, particularly the integration of ML with MD simulations, plays a crucial role in predicting IDR conformational ensembles. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

    Article Snippet: Currently, experimental data is primarily used to assist Molecular Dynamics (MD) modeling, which can significantly reduce computational requirements.

    Techniques: