Physics-informed Neural Network (PINN) to Predict Vibrational Stability of Inorganic Semiconductors
Fuente:
arXiv
Guardado en:
| Autores principales: | Zeb, M. H., Kabir, M. Z. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Predicting the Thermal Behavior of Semiconductor Defects with Equivariant Neural Networks
por: Zhu, Xiangzhou, et al.
Publicado: (2025)
por: Zhu, Xiangzhou, et al.
Publicado: (2025)
Machine Learning‐Enhanced Prediction of Inorganic Semiconductor Bandgaps for Advancing Optoelectronic Technologies
por: Muhammad Husnain Zeb, et al.
Publicado: (2024)
por: Muhammad Husnain Zeb, et al.
Publicado: (2024)
Scalable Dielectric Tensor Predictions for Inorganic Materials using Equivariant Graph Neural Networks
por: Hua, Haowei, et al.
Publicado: (2026)
por: Hua, Haowei, et al.
Publicado: (2026)
Deep Neural Network for Phonon-Assisted Optical Spectra in Semiconductors
por: Gu, Qiangqiang, et al.
Publicado: (2025)
por: Gu, Qiangqiang, et al.
Publicado: (2025)
A Physics-Enforced Neural Network to Predict Polymer Melt Viscosity
por: Jain, Ayush, et al.
Publicado: (2024)
por: Jain, Ayush, et al.
Publicado: (2024)
Physics Informed Neural Network Enhanced Denoising for Atomic Resolution STEM Imaging
por: Awan, Z., et al.
Publicado: (2024)
por: Awan, Z., et al.
Publicado: (2024)
Electronic Structure and Vibrational Stability of Copper-substituted Lead Apatite (LK-99)
por: Cabezas-Escares, J., et al.
Publicado: (2023)
por: Cabezas-Escares, J., et al.
Publicado: (2023)
Vibrations and tunneling of strained nanoribbons at finite temperature
por: Hanakata, Paul Z., et al.
Publicado: (2023)
por: Hanakata, Paul Z., et al.
Publicado: (2023)
Retrieval and Use of the Literature of Inorganic Chemistry
por: Woodburn, Henry M.
Publicado: (1972)
por: Woodburn, Henry M.
Publicado: (1972)
Sensing Vibrations using Quantum Geometry of Electrons
por: R, Bhuvaneswari, et al.
Publicado: (2024)
por: R, Bhuvaneswari, et al.
Publicado: (2024)
Genome-Guided Interpretable Screening of Phase-Stable, Lead-Free Double Perovskite Absorbers for All-Inorganic Semiconductors, Sensors, and Photovoltaics with DFT-Validated Design Rules
por: Ahtasu, Nafis, et al.
Publicado: (2026)
por: Ahtasu, Nafis, et al.
Publicado: (2026)
Identification and Prediction of Photoplasticity in Semiconductors Using Feature Engineering and Machine learning
por: Chen, Huicong, et al.
Publicado: (2026)
por: Chen, Huicong, et al.
Publicado: (2026)
General Learning of the Electric Response of Inorganic Materials
por: Martin, Bradley A. A., et al.
Publicado: (2025)
por: Martin, Bradley A. A., et al.
Publicado: (2025)
Predicting the Inorganic Exciton Peak Position in 2D Hybrid Organic-Inorganic Perovskites from Hybrid Density Functional Theory
por: Janke, Svenja
Publicado: (2024)
por: Janke, Svenja
Publicado: (2024)
Emergent Atomic Environments in Twisted Bilayer Graphene and Their Use in the Prediction of the Vibrational Properties
por: Ickecan, Dilara, et al.
Publicado: (2023)
por: Ickecan, Dilara, et al.
Publicado: (2023)
Neural Networks as Physics-Consistent Surrogates: An \textit{Explainable AI} Validation Framework for Learning Constitutive Relations
por: Pati, Chandana, et al.
Publicado: (2025)
por: Pati, Chandana, et al.
Publicado: (2025)
Discovering Melting Temperature Prediction Models of Inorganic Solids by Combining Supervised and Unsupervised Learning
por: Gharakhanyan, Vahe, et al.
Publicado: (2024)
por: Gharakhanyan, Vahe, et al.
Publicado: (2024)
Representation of Inorganic Synthesis Reactions and Prediction: Graphical Framework and Datasets
por: Andrello, Samuel, et al.
Publicado: (2025)
por: Andrello, Samuel, et al.
Publicado: (2025)
A Versatile Post-Doping Towards Two-Dimensional Semiconductors
por: Murai, Y., et al.
Publicado: (2021)
por: Murai, Y., et al.
Publicado: (2021)
Exciton Formation in Two-Dimensional Semiconductors
por: Mourzidis, K., et al.
Publicado: (2025)
por: Mourzidis, K., et al.
Publicado: (2025)
On the Melting Thresholds of Semiconductors under Nanosecond Pulse Laser Irradiation
por: Beranek, J., et al.
Publicado: (2023)
por: Beranek, J., et al.
Publicado: (2023)
InterMat: Accelerating Band Offset Prediction in Semiconductor Interfaces with DFT and Deep Learning
por: Choudhary, Kamal, et al.
Publicado: (2024)
por: Choudhary, Kamal, et al.
Publicado: (2024)
PySlice: Routine Vibrational Electron Energy Loss Spectroscopy Prediction with Universal Interatomic Potentials
por: Walker, Harrison A., et al.
Publicado: (2026)
por: Walker, Harrison A., et al.
Publicado: (2026)
Stability Criteria and Optoelectronic Properties of Mg3ZBr3 (Z = As, Sb, Bi) Perovskites for Evaluating the Performance in PIN Photo Diode
por: Mohiuddin, Md, et al.
Publicado: (2025)
por: Mohiuddin, Md, et al.
Publicado: (2025)
Understanding and Controlling V-Doping and S-Vacancy Behavior in Two-Dimensional Semiconductors- Toward Predictive Design
por: Mathela, Shreya, et al.
Publicado: (2025)
por: Mathela, Shreya, et al.
Publicado: (2025)
Vibrational Fingerprints of Strained Polymers: A Spectroscopic Pathway to Mechanical State Prediction
por: Konrad, Julian, et al.
Publicado: (2025)
por: Konrad, Julian, et al.
Publicado: (2025)
From Data-Driven Models to Physical Insight: Vibrational Entropy Governed by Atomic Volume
por: Tripathi, Shivam, et al.
Publicado: (2026)
por: Tripathi, Shivam, et al.
Publicado: (2026)
Assessing Band Gap Stability of Organic Semiconductor Thin Films for Flexible Electronic Applications
por: Ghorab, Mahya, et al.
Publicado: (2025)
por: Ghorab, Mahya, et al.
Publicado: (2025)
Physical Basis for Band Transport and Dimensionality in Amorphous Oxide Semiconductor Field-Effect Transistors
por: Dodabalapur, Ananth, et al.
Publicado: (2026)
por: Dodabalapur, Ananth, et al.
Publicado: (2026)
Structural, Energetic, Electronic, and Vibrational Properties of Boron-Substituted Tungsten Clusters
por: Waghmare, Akshata M., et al.
Publicado: (2025)
por: Waghmare, Akshata M., et al.
Publicado: (2025)
First-principles Prediction of Carrier Mobility in Semiconductor Nanowires Based on the Spatially Dependent Boltzmann Transport Equation
por: He, Zirui, et al.
Publicado: (2025)
por: He, Zirui, et al.
Publicado: (2025)
Study of Entropy-Driven Polymorphic Stability for Aspirin Using Accurate Neural Network Interatomic Potential
por: Hattori, Shinnosuke, et al.
Publicado: (2024)
por: Hattori, Shinnosuke, et al.
Publicado: (2024)
Thermodynamic Phase Stability, Structural, Mechanical, Optoelectronic, and Thermoelectric Properties of the III-V Semiconductor AlSb for Energy Conversion Applications
por: Raufov, Iskandar, et al.
Publicado: (2025)
por: Raufov, Iskandar, et al.
Publicado: (2025)
Enantiopurity-Controlled Magnetism in a Two-Dimensional Organic-Inorganic Material
por: Hegel, P. Garrett, et al.
Publicado: (2026)
por: Hegel, P. Garrett, et al.
Publicado: (2026)
Tuning the Electronic and Optical Properties of Impurity-Engineered Two-Dimensional Graphullerene Half-Semiconductors
por: Khan, M. A., et al.
Publicado: (2024)
por: Khan, M. A., et al.
Publicado: (2024)
Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials
por: Staley, Edward W., et al.
Publicado: (2026)
por: Staley, Edward W., et al.
Publicado: (2026)
Inorganic/inorganic composites through emulsion templating
por: Jiang, Tianhui, et al.
Publicado: (2024)
por: Jiang, Tianhui, et al.
Publicado: (2024)
Sequential Quenching to Predict Semiconductor Defect Concentrations from Formation & Migration Energies: The Case of CdTe:As Doping
por: Arnab, Khandakar Aaditta, et al.
Publicado: (2026)
por: Arnab, Khandakar Aaditta, et al.
Publicado: (2026)
Predicting Ti-Al Binary Phase Diagram with an Artificial Neural Network Potential
por: Nichols, Micah, et al.
Publicado: (2024)
por: Nichols, Micah, et al.
Publicado: (2024)
EOSnet: Embedded Overlap Structures for Graph Neural Networks in Predicting Material Properties
por: Tao, Shuo, et al.
Publicado: (2024)
por: Tao, Shuo, et al.
Publicado: (2024)
Ejemplares similares
-
Predicting the Thermal Behavior of Semiconductor Defects with Equivariant Neural Networks
por: Zhu, Xiangzhou, et al.
Publicado: (2025) -
Machine Learning‐Enhanced Prediction of Inorganic Semiconductor Bandgaps for Advancing Optoelectronic Technologies
por: Muhammad Husnain Zeb, et al.
Publicado: (2024) -
Scalable Dielectric Tensor Predictions for Inorganic Materials using Equivariant Graph Neural Networks
por: Hua, Haowei, et al.
Publicado: (2026) -
Deep Neural Network for Phonon-Assisted Optical Spectra in Semiconductors
por: Gu, Qiangqiang, et al.
Publicado: (2025) -
A Physics-Enforced Neural Network to Predict Polymer Melt Viscosity
por: Jain, Ayush, et al.
Publicado: (2024)