Image de couverture de livre

A Hybrid Machine Learning Framework for Predicting Hydrogen Storage Capacities in Metal Hydrides: Unsupervised Feature Learning with Deep Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bhattacharjee, Satadeep, Das, Pritam, Ram, Swetarekha, Lee, Seung-Cheol
Format:	Preprint
Publié:	2024
Sujets:	Materials Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Tuning the Electronic and Magnetic Properties of Double Transition Metal MCrCT$_2$ (M = Ti, Mo) Janus MXenes for Enhanced Spintronics and Nanoelectronics
par: Ram, Swetarekha, et autres
Publié: (2024)

Integrating Density Functional Theory with Deep Neural Networks for Accurate Voltage Prediction in Alkali-Metal-Ion Battery Materials
par: Hossain, Sk Mujaffar, et autres
Publié: (2025)

Magnetization dynamics in skyrmions due to high-speed carrier injections from Dirac half-metals
par: Bhattacharjee, Satadeep, et autres
Publié: (2024)

Testing the spin-bath view of self-attention: A Hamiltonian analysis of GPT-2 Transformer
par: Bhattacharjee, Satadeep, et autres
Publié: (2025)

Origin of unexpected weak Gilbert damping in the LSMO/Pt bilayer system
par: Das, Pritam, et autres
Publié: (2024)

SR-CGCNN: Shared Recurrent Convolution in Crystal Graph Neural Networks for Materials Property Prediction
par: Bhattacharjee, Satadeep
Publié: (2026)

LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
par: Khastagir, Subhojyoti, et autres
Publié: (2025)

Customizing PBE Exchange-Correlation functionals: A comprehensive approach for band gap prediction in diverse semiconductors
par: Bhattacharjee, Satadeep, et autres
Publié: (2023)

Quantum Simulations of Battery Electrolytes with VQE-qEOM and SQD: Active-Space Design, Dissociation, and Excited States of LiPF$_6$, NaPF$_6$, and FSI Salts
par: Hossain, Sk Mujaffar, et autres
Publié: (2025)

Role of Oxygen during Methane Oxidation on Pd$_1$/PdO$_1$@CeO$_2$ Surface: A Combined Density Functional Theory, Microkinetic, and Machine Learning Approach
par: Tomar, Shalini, et autres
Publié: (2025)

Integrating Density Functional Theory with Deep Neural Networks for Accurate Voltage Prediction in Alkali‐Metal‐Ion Battery Materials
par: Sk Mujaffar Hossain, et autres
Publié: (2026)

Periodic Materials Generation using Text-Guided Joint Diffusion Model
par: Das, Kishalay, et autres
Publié: (2025)

Controlling Moisture for Enhanced Ozone Decomposition: A Study of Water Effects on CeO$_2$ Surfaces and Catalytic Activity
par: Gupta, Suchitra, et autres
Publié: (2024)

Tunable Thermal Expansion in Functionalized 2D Boron Nitride: A First-Principles Investigation
par: Hossain, Sk Mujaffar, et autres
Publié: (2025)

Calculation of Gilbert damping and magnetic moment of inertia using torque-torque correlation model within ab initio Wannier framework
par: Bajaj, Robin, et autres
Publié: (2024)

Multi-site mixing and entropy stabilization of CsPbI$_{3}$ with potential application in photovoltaics
par: Koshi, Namitha Anna, et autres
Publié: (2025)

Enhancement of spin Hall angle by an order of magnitude via Cu intercalation in MoS$_2$/CoFeB heterostructures
par: Mishra, Abhisek, et autres
Publié: (2024)

Mechanistic Insights into Complete Methane Oxidation on Single-Atom Pd Supported by SSZ-13 Zeolite: A First-Principles Study
par: Behatha, Anuroopa, et autres
Publié: (2025)

Li/Mg‐Based Hydrides for High‐Capacity Hydrogen and Lithium Storage Applications
par: Panyu Gao, et autres
Publié: (2025)

Quantum Simulations of Battery Electrolytes Using Variational Quantum Eigensolver, Equation‐of‐Motion, and Sample‐Based Diagonalization Methods: Active‐Space Design, Dissociation, and Excited States of LiPF6, NaPF6, and FSI Salts
par: Sk Mujaffar Hossain, et autres
Publié: (2026)

Physically Interpretable Descriptors Drive the Materials Design of Metal Hydrides for Hydrogen Storage
par: Jang, Seong-Hoon, et autres
Publié: (2025)

Filtered Spectral Projection for Quantum Principal Component Analysis
par: Hossain, Sk Mujaffar, et autres
Publié: (2026)

Machine Learning-Driven Structure Prediction for Iron Hydrides
par: Tahmasbi, Hossein, et autres
Publié: (2023)

Local Symmetry Breaking in Skyrmion-Hosting Centrosymmetric Hexagonal Compounds
par: Singh, Anupam K., et autres
Publié: (2024)

The Critical Metallization of Hydrogen in Pressurized LaBeH8 Hydride
par: Zhang, Zihan, et autres
Publié: (2024)

Hydrogen Storage in Magnesium Hydride at Room Temperature Enabled by Graphene‐Stabilized Multivalent Niobium Oxides
par: Chaoqun Li, et autres
Publié: (2025)

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks
par: Han, Seunghee, et autres
Publié: (2024)

Atomic-Scale Heterogeneity of Hydrogen in Metal Hydrides Revealed by Electron Ptychography
par: Li, Pengcheng, et autres
Publié: (2025)

A Data-Driven Machine Learning Approach for Predicting Axial Load Capacity in Steel Storage Rack Columns
par: Mammadli, Bakhtiyar, et autres
Publié: (2025)

Deep Eutectic Solvents Formed by Complex Hydrides: A New Class of Hydrogen‐Rich Liquid
par: Loris Lombardo, et autres
Publié: (2025)

N-Graphdiyne as a Tunable Platform for Stabilizing Light Metals toward High-Capacity Reversible Hydrogen Storage
par: Othman, Wael, et autres
Publié: (2026)

Triazacoronene‐Based 2D Conductive Metal–Organic Framework for High‐Capacity Lithium Storage
par: Jia‐Cheng Yin, et autres
Publié: (2024)

Defect-Engineered Beryllium Dinitride (BeN2) Monolayer with Light-Metal Decoration for Reversible High-Capacity Hydrogen Storage
par: Othman, Wael, et autres
Publié: (2026)

Data-driven Design of High Pressure Hydride Superconductors using DFT and Deep Learning
par: Wines, Daniel, et autres
Publié: (2023)

Technoeconomic Insights into Metal Hydrides for Stationary Hydrogen Storage
par: Xinyi Wang, et autres
Publié: (2025)

Composition-Based Machine Learning for Screening Superconducting Ternary Hydrides from a Curated Dataset
par: Tokuyama, Kazuaki, et autres
Publié: (2025)

First-Principles Investigation of X2NiH6 (X = Ca, Sr, Ba) Hydrides for Hydrogen Storage Applications
par: Aafi, K., et autres
Publié: (2025)

Sodium-Decorated P-C3N: A Porous 2D Framework for High-Capacity and Reversible Hydrogen Storage
par: Laranjeira, Jose A. S., et autres
Publié: (2025)

Unsupervised Deep Neural Network Approach To Solve Bosonic Systems
par: Singh, Avishek, et autres
Publié: (2024)

Predicting and Accelerating Nanomaterials Synthesis Using Machine Learning Featurization
par: Price, Christopher C., et autres
Publié: (2024)