AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up
Fuente:
arXiv
Saved in:
| Main Authors: | Srinivas, Sakhinana Sagar, Gupta, Shivam, Runkana, Venkataramana |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
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)
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)
Agentic Retrieval-Augmented Generation for Time Series Analysis
by: Ravuru, Chidaksh, et al.
Published: (2024)
by: Ravuru, Chidaksh, 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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
AutoVerifier: An Agentic Automated Verification Framework Using Large Language Models
by: Du, Yuntao, et al.
Published: (2026)
by: Du, Yuntao, et al.
Published: (2026)
PointSAGE: Mesh-independent superresolution approach to fluid flow predictions
by: Sarkar, Rajat, et al.
Published: (2024)
by: Sarkar, Rajat, et al.
Published: (2024)
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data
by: Qi, Danrui, et al.
Published: (2023)
by: Qi, Danrui, et al.
Published: (2023)
EMCNet : Graph-Nets for Electron Micrographs Classification
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
From AutoRecSys to AutoRecLab: A Call to Build, Evaluate, and Govern Autonomous Recommender-Systems Research Labs
by: Beel, Joeran, et al.
Published: (2025)
by: Beel, Joeran, et al.
Published: (2025)
No-Human in the Loop: Agentic Evaluation at Scale for Recommendation
by: Zhang, Tao, et al.
Published: (2025)
by: Zhang, Tao, et al.
Published: (2025)
Physics-Grounded Multi-Agent Architecture for Traceable, Risk-Aware Human-AI Decision Support in Manufacturing
by: Hoang, Danny, et al.
Published: (2026)
by: Hoang, Danny, et al.
Published: (2026)
Agentic Personalisation of Cross-Channel Marketing Experiences
by: Abboud, Sami, et al.
Published: (2025)
by: Abboud, Sami, et al.
Published: (2025)
AgentSLR: Automating Systematic Literature Reviews in Epidemiology with Agentic AI
by: Padarha, Shreyansh, et al.
Published: (2026)
by: Padarha, Shreyansh, et al.
Published: (2026)
A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI
by: Kılıç, Deniz Kenan, et al.
Published: (2023)
by: Kılıç, Deniz Kenan, et al.
Published: (2023)
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining
by: Chen, Kexin, et al.
Published: (2024)
by: Chen, Kexin, et al.
Published: (2024)
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning
by: Färber, Michael, et al.
Published: (2024)
by: Färber, Michael, et al.
Published: (2024)
Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies
by: Zhang, Mingming, et al.
Published: (2026)
by: Zhang, Mingming, et al.
Published: (2026)
AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance
by: Guo, Shouchang, et al.
Published: (2024)
by: Guo, Shouchang, et al.
Published: (2024)
Similar Items
-
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) -
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025) -
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) -
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) -
Agentic Retrieval-Augmented Generation for Time Series Analysis
by: Ravuru, Chidaksh, et al.
Published: (2024)