Image de couverture de livre

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Jaehyung, Ely, Justin, Zhang, Kent, Ajith, Akshaya, Campbell, Charles Rhys, Choudhary, Kamal
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Materials Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

AtomBench: A Benchmark for Generative Atomic Structure Models using GPT, Diffusion, and Flow Architectures
par: Campbell, Charles Rhys, et autres
Publié: (2025)

AtomGPT: Atomistic Generative Pre-trained Transformer for Forward and Inverse Materials Design
par: Choudhary, Kamal
Publié: (2024)

The JARVIS Infrastructure is All You Need for Materials Design
par: Choudhary, Kamal
Publié: (2025)

DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer
par: Choudhary, Kamal
Publié: (2025)

InterMat: Accelerating Band Offset Prediction in Semiconductor Interfaces with DFT and Deep Learning
par: Choudhary, Kamal, et autres
Publié: (2024)

CHIPS-FF: Evaluating Universal Machine Learning Force Fields for Material Properties
par: Wines, Daniel, et autres
Publié: (2024)

Securing AI Agents Against Prompt Injection Attacks
par: Ramakrishnan, Badrinath, et autres
Publié: (2025)

From Materials to Devices: All‐MXene Platforms for Advanced Energy Storage
par: Akshaya Perumal, et autres
Publié: (2025)

Accelerated Inorganic Materials Design with Generative AI Agents
par: Takahara, Izumi, et autres
Publié: (2025)

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

A Deep-learning Model for Fast Prediction of Vacancy Formation in Diverse Materials
par: Choudhary, Kamal, et autres
Publié: (2022)

ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data
par: Choudhary, Kamal, et autres
Publié: (2022)

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN
par: Chatzistefanidis, Ilias, et autres
Publié: (2025)

Accelerated prediction of dielectric functions in solar cell materials with graph neural networks
par: Ginter, Caden, et autres
Publié: (2025)

M-CODE: Materials Categorization via Ontology, Dimensionality and Evolution
par: Biryukov, Vsevolod, et autres
Publié: (2026)

Agentic AI Infrastructure: Platform Economics of Multi-Agent Systems
par: Ivchenko, Oleh
Publié: (2026)

Agentic AI and Machine Learning for Accelerated Materials Discovery and Applications
par: Chen, Jihua, et autres
Publié: (2026)

From Photons to Electrons: Accelerated Materials Discovery via Random Libraries and Automated Scanning Transmission Electron Microscopy
par: Slautin, Boris, et autres
Publié: (2026)

GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design
par: Stewart, Isabella A., et autres
Publié: (2026)

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists
par: Pan, Junshu, et autres
Publié: (2026)

GRACE: an Agentic AI for Particle Physics Experiment Design and Simulation
par: Hill, Justin, et autres
Publié: (2026)

Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access
par: Benkovich, Nikita, et autres
Publié: (2026)

AI-ready design of realistic 2D materials and interfaces with Mat3ra-2D
par: Biryukov, Vsevolod, et autres
Publié: (2026)

OpenHands: An Open Platform for AI Software Developers as Generalist Agents
par: Wang, Xingyao, et autres
Publié: (2024)

Effective Atom Theory: Gradient-Driven ab initio Materials Design
par: Tahmassebpur, Justin, et autres
Publié: (2025)

CHIPS-TB: Evaluating Tight-Binding Models For Metals, Semiconductors, and Insulators
par: Park, In Jun, et autres
Publié: (2025)

BenchQC: A Benchmarking Toolkit for Quantum Computation
par: Pollard, Nia, et autres
Publié: (2025)

BenchQC: A Benchmarking Toolkit for Quantum Computation
par: Nia Pollard, et autres
Publié: (2025)

Next Generation of Phishing Attacks using AI powered Browsers
par: Arun, Akshaya, et autres
Publié: (2024)

Learn Like Feynman: Developing and Testing an AI-Driven Feynman Bot
par: Rajesh, Akshaya, et autres
Publié: (2025)

A3D: Agentic AI flow for autonomous Accelerator Design
par: Nallathambi, Abinand, et autres
Publié: (2026)

LightAgent: Production-level Open-source Agentic AI Framework
par: Cai, Weige, et autres
Publié: (2025)

OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum Materials
par: Pandey, Sankalp, et autres
Publié: (2026)

Materials Acceleration Platform for Electrochemistry: a Platform for Autonomous Electrochemistry
par: Persaud, Daniel, et autres
Publié: (2026)

Access to MAT: Dollars and sense
par: Rob Kent
Publié: (2026)

LAAFD: LLM-based Agents for Accelerated FPGA Design
par: Moraru, Maxim, et autres
Publié: (2026)

Towards Agentic AI on Particle Accelerators
par: Sulc, Antonin, et autres
Publié: (2024)

LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
par: Iqbal, Umar, et autres
Publié: (2023)

Accelerating Drug Discovery Through Agentic AI: A Multi-Agent Approach to Laboratory Automation in the DMTA Cycle
par: Fehlis, Yao, et autres
Publié: (2025)

Effect of Exchange-Correlation Functionals on Schottky Barriers at Si/Metal Interfaces
par: Dovale-Farelo, Viviana, et autres
Publié: (2026)