PointSAGE: Mesh-independent superresolution approach to fluid flow predictions
Fuente:
arXiv
Saved in:
| Main Authors: | Sarkar, Rajat, Aripirala, Krishna Sai Sudhir, Jadhav, Vishal Sudam, Sakhinana, Sagar Srinivas, Runkana, Venkataramana |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Multi-Knowledge Fusion Network for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
EMCNet : Graph-Nets for Electron Micrographs Classification
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Agentic Retrieval-Augmented Generation for Time Series Analysis
by: Ravuru, Chidaksh, et al.
Published: (2024)
by: Ravuru, Chidaksh, et al.
Published: (2024)
Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
by: Sannidhi, Geethan, et al.
Published: (2024)
by: Sannidhi, Geethan, et al.
Published: (2024)
Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Lagrangian approach for modal analysis of fluid flows
by: Shinde, Vilas J., et al.
Published: (2021)
by: Shinde, Vilas J., et al.
Published: (2021)
Unsteady separation and oscillations in a compressible wake of a cylinder
by: Gai, Sudhir, et al.
Published: (2024)
by: Gai, Sudhir, et al.
Published: (2024)
Viscosity-model-independent generalized Reynolds number for laminar flow of shear-thinning and viscoplastic fluids
by: Bilgi, Coskun, et al.
Published: (2023)
by: Bilgi, Coskun, et al.
Published: (2023)
Sedimentation of spheroids in Newtonian fluids with spatially varying viscosity
by: Anand, Vishal, et al.
Published: (2023)
by: Anand, Vishal, et al.
Published: (2023)
Slip length estimation for flow over lubricant-impregnated surface
by: Goyal, Vishal, et al.
Published: (2025)
by: Goyal, Vishal, et al.
Published: (2025)
Instabilities and bifurcations in turbulent porous media flow
by: Srikanth, Vishal, et al.
Published: (2025)
by: Srikanth, Vishal, et al.
Published: (2025)
Symmetry-breaking of turbulent flow due to asymmetric vortex shedding in periodic porous media
by: Srikanth, Vishal, et al.
Published: (2024)
by: Srikanth, Vishal, et al.
Published: (2024)
From vortices to forces - a data-driven framework for unsteady lift generation in three-dimensional vortex-dominated flows
by: Prakhar, Suryansh, et al.
Published: (2025)
by: Prakhar, Suryansh, et al.
Published: (2025)
Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation
by: Rincón, M. J., et al.
Published: (2023)
by: Rincón, M. J., et al.
Published: (2023)
Analysis of fluid flow in fractal microfluidic channels
by: Hu, Jun, et al.
Published: (2024)
by: Hu, Jun, et al.
Published: (2024)
Vielbein Lattice Boltzmann approach for fluid flows on spherical surfaces
by: Ambrus, Victor E., et al.
Published: (2025)
by: Ambrus, Victor E., et al.
Published: (2025)
A sharp and conservative method for modeling interfacial flows with insoluble surfactants in the framework of a geometric volume-of-fluid approach
by: Xue, Zhong-Han, et al.
Published: (2025)
by: Xue, Zhong-Han, et al.
Published: (2025)
Implicit factorized transformer approach to fast prediction of turbulent channel flows
by: Yang, Huiyu, et al.
Published: (2024)
by: Yang, Huiyu, et al.
Published: (2024)
Similar Items
-
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024) -
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024) -
Multi-Knowledge Fusion Network for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024) -
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024) -
EMCNet : Graph-Nets for Electron Micrographs Classification
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)