Atomic-Scale Mechanisms of SiO$_2$ Plasma-Enhanced Chemical Vapor Deposition Revealed by Molecular Dynamics with a Machine-Learning Interatomic Potential
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Jaehoon, Moon, Minseok, Cho, Hyunsung, Kim, Hyeon-Deuk, Kim, Rokyeon, Park, Gyehyun, Han, Seungwu, Kang, Youngho |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Atomistic insights into hydrogen migration in IGZO from machine-learning interatomic potential: linking atomic diffusion to device performance
by: Cho, Hyunsung, et al.
Published: (2025)
by: Cho, Hyunsung, et al.
Published: (2025)
Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations
by: Park, Yutack, et al.
Published: (2024)
by: Park, Yutack, et al.
Published: (2024)
Data-efficient multi-fidelity training for high-fidelity machine learning interatomic potentials
by: Kim, Jaesun, et al.
Published: (2024)
by: Kim, Jaesun, et al.
Published: (2024)
A Lightweight Universal Machine-Learning Interatomic Potential via Knowledge Distillation for Scalable Atomistic Simulations
by: Oh, Sangmin, et al.
Published: (2026)
by: Oh, Sangmin, et al.
Published: (2026)
Electronic structures of crystalline and amorphous GeSe and GeSbTe compounds using machine learning empirical pseudopotentials
by: Kang, Sungmo, et al.
Published: (2025)
by: Kang, Sungmo, et al.
Published: (2025)
Neural Network-Driven Molecular Insights into Alkaline Wet Etching of GaN: Toward Atomistic Precision in Nanostructure Fabrication
by: Kim, Purun-hanul, et al.
Published: (2025)
by: Kim, Purun-hanul, et al.
Published: (2025)
Atomistic Insights into Cu/amorphous-Ta$_x$N Interfacial Adhesion via Machine Learning Interatomic Potentials: Effects of Stoichiometry and Interface Construction
by: Choi, Jeong Min, et al.
Published: (2025)
by: Choi, Jeong Min, et al.
Published: (2025)
Unveiling defect motifs in amorphous GeSe using machine learning interatomic potentials
by: Moon, Minseok, et al.
Published: (2025)
by: Moon, Minseok, et al.
Published: (2025)
Unveiling defect motifs in amorphous GeSe using machine learning interatomic potentials
by: Moon, Minseok, et al.
Published: (2025)
by: Moon, Minseok, et al.
Published: (2025)
Optimizing Cross-Domain Transfer for Universal Machine Learning Interatomic Potentials
by: Kim, Jaesun, et al.
Published: (2025)
by: Kim, Jaesun, et al.
Published: (2025)
Ultra‐High Mobility Atomically‐Ordered InGaZnO Transistors Through Atomic Layer Deposition
by: Yoon‐Seo Kim, et al.
Published: (2025)
by: Yoon‐Seo Kim, et al.
Published: (2025)
A Computational Study for Screening High-Selectivity Inhibitors in Area-Selective Atomic Layer Deposition on Amorphous Surfaces
by: Kim, Gijin, et al.
Published: (2025)
by: Kim, Gijin, et al.
Published: (2025)
On the Sum of Reciprocals of Primes
by: Kim, Young Deuk
Published: (2024)
by: Kim, Young Deuk
Published: (2024)
Ordinality and Riemann Hypothesis II
by: Kim, Young Deuk
Published: (2024)
by: Kim, Young Deuk
Published: (2024)
Ordinality and Riemann Hypothesis I
by: Kim, Young Deuk
Published: (2023)
by: Kim, Young Deuk
Published: (2023)
Transferable empirical pseudopotenials from machine learning
by: Kim, Rokyeon, et al.
Published: (2023)
by: Kim, Rokyeon, et al.
Published: (2023)
Plasma‐Sequence‐Engineered Atomic Layer Deposition of Ultra‐Thin SiN x for Enhanced Etching Resistance in Extreme Ultraviolet Pellicles
by: Hye‐Young Kim, et al.
Published: (2026)
by: Hye‐Young Kim, et al.
Published: (2026)
Advancements in Chemical Vapor Deposited Carbon Films for Secondary Battery Applications
by: Jiwoo Kim, et al.
Published: (2025)
by: Jiwoo Kim, et al.
Published: (2025)
An efficient forgetting-aware fine-tuning framework for pretrained universal machine-learning interatomic potentials
by: Kim, Jisu, et al.
Published: (2025)
by: Kim, Jisu, et al.
Published: (2025)
Comparison of SiNx Dielectric Layer Grown by Plasma‐Enhanced Chemical Vapor Deposition, Low‐Pressure Chemical Vapor Deposition, and Metal‐Organic Chemical Vapor Deposition in Diamond‐ and GaN‐Based Integrated Devices
by: Haolun Sun, et al.
Published: (2024)
by: Haolun Sun, et al.
Published: (2024)
Improving the Optical Properties of SiNx:H Thin Film by Optimizing NH3:SiH4 Gas Ratio Using Plasma‐Enhanced Chemical Vapor Deposition
by: Alamgeer, et al.
Published: (2024)
by: Alamgeer, et al.
Published: (2024)
Discovery of oxide Li-conducting electrolytes in uncharted chemical space via topology-constrained crystal structure prediction
by: Hwang, Seungwoo, et al.
Published: (2025)
by: Hwang, Seungwoo, et al.
Published: (2025)
Loss-Optimized Reconfigurable Nonlocal Metasurface-aided Cavity Antenna
by: Cho, Minwoo, et al.
Published: (2026)
by: Cho, Minwoo, et al.
Published: (2026)
Composition‐Controlled Cathode Protective Layer via Powder‐Atomic Layer Deposition for All‐Solid‐State Batteries
by: Kyu Moon Kwon, et al.
Published: (2025)
by: Kyu Moon Kwon, et al.
Published: (2025)
Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach
by: Kim, Yeongjong, et al.
Published: (2025)
by: Kim, Yeongjong, et al.
Published: (2025)
Physics-informed approach for exploratory Hamilton--Jacobi--Bellman equations via policy iterations
by: Kim, Yeongjong, et al.
Published: (2025)
by: Kim, Yeongjong, et al.
Published: (2025)
Stabilized neural Hamilton--Jacobi--Bellman solvers: Error analysis and applications in model-based reinforcement learning
by: Kim, Minseok, et al.
Published: (2026)
by: Kim, Minseok, et al.
Published: (2026)
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation
by: Park, Yeachan, et al.
Published: (2024)
by: Park, Yeachan, et al.
Published: (2024)
Adaptive Graph Rewiring to Mitigate Over-Squashing in Mesh-Based GNNs for Fluid Dynamics Simulations
by: Seo, Sangwoo, et al.
Published: (2025)
by: Seo, Sangwoo, et al.
Published: (2025)
Wide Effective Work-Function Tuning of Al/SiO$_2$/Si Junction Achieved with Graphene Interlayer at Al/SiO$_2$ Interface
by: Song, Wonho, et al.
Published: (2022)
by: Song, Wonho, et al.
Published: (2022)
Composition‐Controlled Cathode Protective Layer via Powder‐Atomic Layer Deposition for All‐Solid‐State Batteries (Adv. Sci. 4/2026)
by: Kyu Moon Kwon, et al.
Published: (2026)
by: Kyu Moon Kwon, et al.
Published: (2026)
MoS2–WS2 Heterostructures with Vertical Nanosheets for Enhanced Photocatalytic Hydrogen Generation through Morphology‐Controlled Chemical Vapor Deposition
by: Dong‐Bum Seo, et al.
Published: (2025)
by: Dong‐Bum Seo, et al.
Published: (2025)
Chemical Mechanical Polishing of Plasma‐Modified Cu/Polymer Interfaces for Advanced Hybrid Bonding
by: Sukkyung Kang, et al.
Published: (2025)
by: Sukkyung Kang, et al.
Published: (2025)
Increasing the p-Selmer rank by twisting
by: Kim, Minseok
Published: (2025)
by: Kim, Minseok
Published: (2025)
$p$-twisted Selmer near-companion curves
by: Kim, Minseok
Published: (2025)
by: Kim, Minseok
Published: (2025)
Operando Characterization and Molecular Simulations Reveal the Growth Kinetics of Graphene on Liquid Copper during Chemical Vapor Deposition
by: Rein, Valentina, et al.
Published: (2023)
by: Rein, Valentina, et al.
Published: (2023)
Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing
by: Willow, Soohaeng Yoo, et al.
Published: (2025)
by: Willow, Soohaeng Yoo, et al.
Published: (2025)
Ultrahigh Sensitivity for Thermographic Human–Machine Interface via Precious Metals Atomic Layer Deposition on V‐MXene: Computational and Experimental Exploration
by: Debananda Mohapatra, et al.
Published: (2024)
by: Debananda Mohapatra, et al.
Published: (2024)
From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras
by: Kim, Youngho, et al.
Published: (2025)
by: Kim, Youngho, et al.
Published: (2025)
Inside Front Cover: High‐Performance Telecom‐Wavelength Biphoton Source from a Hot Atomic Vapor Cell (Adv. Quantum Technol. 1/2024)
by: Hansol Jeong, et al.
Published: (2024)
by: Hansol Jeong, et al.
Published: (2024)
Similar Items
-
Atomistic insights into hydrogen migration in IGZO from machine-learning interatomic potential: linking atomic diffusion to device performance
by: Cho, Hyunsung, et al.
Published: (2025) -
Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations
by: Park, Yutack, et al.
Published: (2024) -
Data-efficient multi-fidelity training for high-fidelity machine learning interatomic potentials
by: Kim, Jaesun, et al.
Published: (2024) -
A Lightweight Universal Machine-Learning Interatomic Potential via Knowledge Distillation for Scalable Atomistic Simulations
by: Oh, Sangmin, et al.
Published: (2026) -
Electronic structures of crystalline and amorphous GeSe and GeSbTe compounds using machine learning empirical pseudopotentials
by: Kang, Sungmo, et al.
Published: (2025)