Copertina

Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Wei, Mojumder, Satyajit, Liu, Wing Kam, Chen, Wei, Apley, Daniel W.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computational Engineering, Finance, and Science Materials Science Machine Learning Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Fire-EnSF: Wildfire Spread Data Assimilation using Ensemble Score Filter
di: Shi, Hongzheng, et al.
Pubblicazione: (2025)

Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data
di: Zhang, Hengrui, et al.
Pubblicazione: (2024)

Value of Information-based assessment of strain-based thickness loss monitoring in ship hull structures
di: Silionis, Nicholas E., et al.
Pubblicazione: (2025)

Mapping Hong Kong's Financial Ecosystem: A Network Analysis of the SFC's Licensed Professionals and Institutions
di: AlKetbi, Abdulla, et al.
Pubblicazione: (2024)

A Geometric Model with Stochastic Error for Abnormal Motion Detection of Portal Crane Bucket Grab
di: Yu, Baichen, et al.
Pubblicazione: (2024)

A Rolling-Horizon Stochastic Optimization Framework for NBA Franchise Management with Distributionally Robust Risk Constraints
di: Zhang, Siming, et al.
Pubblicazione: (2026)

ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics
di: Dupret, Georges, et al.
Pubblicazione: (2024)

A hierarchical Bayesian approach for population-based structural health monitoring in ship hull structures
di: Aravanis, Georgios, et al.
Pubblicazione: (2025)

Population Activity Recovery: Milestones Unfolding, Temporal Interdependencies, and Relationship with Physical and Social Vulnerability
di: Patrascu, Flavia Ioana, et al.
Pubblicazione: (2024)

Analysis of vessel traffic flow characteristics in inland restricted waterways using multi-source data
di: Yang, Wenzhang, et al.
Pubblicazione: (2024)

A Framework for Digital Asset Risks with Insurance Applications
di: Li, Zhengming, et al.
Pubblicazione: (2024)

Robust Optimal Experimental Design Accounting for Sensor Failure
di: White, Rebekah, et al.
Pubblicazione: (2026)

Optimising Kernel-based Multivariate Statistical Process Control
di: Duma, Zina-Sabrina, et al.
Pubblicazione: (2025)

Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars
di: Wright, Austin P., et al.
Pubblicazione: (2024)

Sensor Informativeness, Identifiability, and Uncertainty in Bayesian Inverse Problems for Structural Health Monitoring
di: Bakeer, Tammam, et al.
Pubblicazione: (2025)

Limit Order Book Dynamics and Order Size Modelling Using Compound Hawkes Process
di: Jain, Konark, et al.
Pubblicazione: (2023)

Persistence is All You Need -- A Topological Lens on Microstructural Characterization
di: Szemer, Maksym, et al.
Pubblicazione: (2025)

Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks
di: Clegg, Lawrence, et al.
Pubblicazione: (2023)

Unified Modelling of Infrastructure Asset Performance Deterioration -- a bounded gamma process approach
di: Chen, Wang, et al.
Pubblicazione: (2025)

Modeling Maritime Transportation Behavior Using AIS Trajectories and Markovian Processes in the Gulf of St. Lawrence
di: Spadon, Gabriel, et al.
Pubblicazione: (2025)

Representative Volume Element: Existence and Extent in Cracked Heterogeneous Medium
di: R, Hari Sankar, et al.
Pubblicazione: (2025)

Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials
di: Satyajit Mojumder, et al.
Pubblicazione: (2025)

A Generalizable Framework for Building Executable Domain-Specific LLMs under Data Scarcity: Demonstration on Semiconductor TCAD Simulation
di: Wang, Di, et al.
Pubblicazione: (2026)

Bayesian Parameter Inference and Uncertainty Quantification for a Computational Pulmonary Hemodynamics Model Using Gaussian Processes
di: Kachabi, Amirreza, et al.
Pubblicazione: (2025)

Modeling the Evolutionary Trends in Corporate ESG Reporting: A Study based on Knowledge Management Model
di: Xia, Ziyuan, et al.
Pubblicazione: (2023)

InferenceEvolve: Towards Automated Causal Effect Estimators through Self-Evolving AI
di: Wang, Can, et al.
Pubblicazione: (2026)

ML-Based Bidding Price Prediction for Pay-As-Bid Ancillary Services Markets: A Use Case in the German Control Reserve Market
di: Bezold, Vincent, et al.
Pubblicazione: (2025)

Collective Noise Filtering in Complex Networks
di: Zhao, Tingyu, et al.
Pubblicazione: (2026)

A practical scenario generation method for electricity prices on day-ahead and intraday spot markets
di: Papadimitriou, Chrysanthi, et al.
Pubblicazione: (2024)

Dynamic causal discovery in Alzheimer's disease through latent pseudotime modelling
di: Glazman, Natalia, et al.
Pubblicazione: (2025)

Battery Lifetime Prediction using Data-driven Modeling Approaches
di: Patil, Vikram C
Pubblicazione: (2026)

Use ADAS Data to Predict Near-Miss Events: A Group-Based Zero-Inflated Poisson Approach
di: Zhang, Xinbo, et al.
Pubblicazione: (2025)

Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies
di: Adebiyi, Taiwo A., et al.
Pubblicazione: (2024)

Simulating progressive failure in laminated glass beams with a layer-wise randomized phase-field solver
di: Schmidt, Jaroslav, et al.
Pubblicazione: (2023)

Multi-objective Bayesian Optimisation of Spinodoid Cellular Structures for Crush Energy Absorption
di: Kansara, Hirak, et al.
Pubblicazione: (2024)

Information-Theoretic Grid Topology Reconstruction using Low-Precision Smart Meter Data
di: Speckhard, Daniel T.
Pubblicazione: (2025)

Accurate and efficient predictions of keyhole dynamics in laser materials processing using machine learning-aided simulations
di: Zhang, Jiahui, et al.
Pubblicazione: (2024)

Approaching multifractal complexity in decentralized cryptocurrency trading
di: Wątorek, Marcin, et al.
Pubblicazione: (2024)

Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
di: Guo, Jiachen, et al.
Pubblicazione: (2024)

Physics-Aware POD-Based Learning for Ab initio QEM-Galerkin Simulations of Periodic Nanostructures
di: Veresko, Martin, et al.
Pubblicazione: (2025)