Cover Image

Physics-Informed Residual Learning for Safe and Adaptive Battery Charging Under Extreme Conditions

Fuente: Zenodo

Saved in:

Bibliographic Details
Main Author:	Pasupuleti, Ramakrishna
Format:	Recurso digital
Published:	Zenodo 2026
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A K–R Constant–Based Framework for Predictive Stabilization, Uncertainty Regulation, and Physical Reservoir Computing
by: Pasupuleti, Ramakrishna
Published: (2026)

KR-Regulated Nonlinear Parabolic and Fractional Evolution Equations: Attractor Scaling Laws, Critical Thresholds, and Computational Efficiency
by: Pasupuleti, Ramakrishna
Published: (2026)

Pre Seismic Quiescence and Dynamical Regime Transitions in the Japan and Chile Earthquake Catalogs Evidence from KR Critical Slowing Down Indicators
by: Pasupuleti, Ramakrishna
Published: (2026)

Nonlinear-Feature K-R Receiver for LiFi: Physics-Driven Residual Correction with Closed-Form Per-Slot Training
by: Paupuleti, Ramakrishna
Published: (2026)

Adaptive Safe Reinforcement Learning-Enabled Optimization of Battery Fast-Charging Protocols
by: Chowdhury, Myisha A., et al.
Published: (2024)

Interfacial Chemistry Design for Hybrid Lithium‐Ion/Metal Batteries Under Extreme Conditions
by: Taiyu Lyu, et al.
Published: (2024)

Cylindrical Battery Fault Detection under Extreme Fast Charging: A Physics-based Learning Approach
by: Firoozi, Roya, et al.
Published: (2021)

A Unified Two-Parameter K–R Framework for Generalized Jensen, Hölder, Young, and Stability Inequalities
by: Pasupuleti, RamaKrishna
Published: (2026)

Solution‐Processed MoS2‐Expanded Graphite as a Fast‐Charging Anode for Lithium‐Ion Batteries
by: Kenneth Lobo, et al.
Published: (2025)

Strongly Interacting Matter Under Extreme Conditions
by: Pal, Somenath
Published: (2025)

Droplet Dynamics Under Extreme Ambient Conditions
Published: (2022)

Ultrahigh‐Efficiency and Long‐Calendar‐Life Aqueous Cadmium Metal Batteries Under Extremely Harsh Conditions
by: Songyang Chang, et al.
Published: (2026)

Stabilized Adaptive Loss and Residual-Based Collocation for Physics-Informed Neural Networks
by: Singh, Divyavardhan, et al.
Published: (2026)

Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
by: Pasupuleti, Vinil, et al.
Published: (2026)

Safe Physics-Informed Machine Learning for Dynamics and Control
by: Drgona, Jan, et al.
Published: (2025)

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging
by: Hirt, Sebastian, et al.
Published: (2024)

An Efficient Wavelet-based Physics Informed Residual Neural Networks for Flow Field Reconstruction with Extremely Sparse Data
by: Barman, Biswanath, et al.
Published: (2026)

A Physics-Informed Reinforcement Learning Approach for Degradation-Aware Long-Term Charging Optimization in Batteries
by: Padisala, Shanthan Kumar, et al.
Published: (2025)

Experimental and Theoretical Insights on Interface Engineered FeS/rGO as Anode for Fast‐Charging Lithium‐ and Sodium‐Ion Batteries
by: Savithri Vishwanathan, et al.
Published: (2025)

A Blockchain-Based Approach for Pharmaceutical Drug Authentication
by: Pasupuleti, Venkata Sai shyam
Published: (2026)

Physics-Informed Extreme Learning Machine (PIELM): Opportunities and Challenges
by: Yang, He, et al.
Published: (2025)

Viologen as an Electrolyte Additive for Extreme Fast Charging of Lithium‐Ion Batteries
by: Murugavel Kathiresan, et al.
Published: (2025)

AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition
by: Botvinick-Greenhouse, Jonah, et al.
Published: (2025)

Extreme Value Policy Optimization for Safe Reinforcement Learning
by: Gao, Shiqing, et al.
Published: (2026)

Adaptive Habitability of Exoplanets: Thriving Under Extreme Environmental Change
by: Weintraub, Itay, et al.
Published: (2024)

Microwave‐Assisted, Multicomponent Synthesis of Pyrazolo [3, 4‐b] Pyridines Under Green Conditions
by: Shravya Pachipulusu, et al.
Published: (2024)

Ternary‐Anions‐Driven Minimized Solvent Coordination for Extreme Condition‐Adaptive Weakly Solvating Lithium‐Ion Batteries Electrolytes
by: Yulin Zhang, et al.
Published: (2025)

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
by: Alaa Selim, et al.
Published: (2026)

Safe Online Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2025)

Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning
by: Mondal, Tanmoy, et al.
Published: (2024)

Diagnosis of Abnormal Overcharge Internal Pressure in Lithium Battery Based on Physics‐Informed Neural Network's Residual Distribution
by: Hangyu Luo, et al.
Published: (2024)

PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
by: Wang, Sifan, et al.
Published: (2024)

Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather
by: Abubakkar, Md, et al.
Published: (2026)

Residual-Informed Learning of Solutions to Algebraic Loops
by: Brandt, Felix, et al.
Published: (2025)

Adaptive Movement Sampling Physics-Informed Residual Network (AM-PIRN) for Solving Nonlinear Option Pricing models
by: Gao, Qinjiao, et al.
Published: (2025)

Toward Certifying Maps for Safe Registration-based Localization Under Adverse Conditions
by: Laconte, Johann, et al.
Published: (2023)

Observation of Exceptional Stability in a Nonlinear Optical Crystal Under Extreme Conditions
by: Yuejian Wang, et al.
Published: (2025)

European Option Pricing in Regime Switching Framework via Physics-Informed Residual Learning
by: Pande, Naman Krishna, et al.
Published: (2024)

Physics-Informed Neural ODEs with Scale-Aware Residuals for Learning Stiff Biophysical Dynamics
by: Kainth, Kamalpreet Singh, et al.
Published: (2025)

Multi-Fidelity Physics-Informed Neural Networks with Bayesian Uncertainty Quantification and Adaptive Residual Learning for Efficient Solution of Parametric Partial Differential Equations
by: Imanov, Olaf Yunus Laitinen
Published: (2026)