Aitomia: Your Intelligent Assistant for AI-Driven Atomistic and Quantum Chemical Simulations
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Abstract (arXiv)
We have developed Aitomia - a platform powered by AI to assist in performing AI-driven atomistic and quantum chemical (QC) simulations. This evolving intelligent assistant platform is equipped with chatbots and AI agents to help experts and guide non-experts in setting up and running atomistic simulations, analyzing simulation results, and summarizing them for the user in both textual and graphical forms. Aitomia combines LLM-based agents with the MLatom platform to support AI-driven atomistic simulations as well as conventional quantum-chemical calculations, including DFT, semiempirical methods such as GFN2-xTB, and selected high-level wavefunction-based methods, through interfaces to widely used programs such as Gaussian, ORCA, PySCF, and xtb, covering tasks from ground-state and excited-state calculations to geometry optimization, thermochemistry, and spectra simulations. The multi-agent implementation enables autonomous execution of complex computational workflows, such as reaction enthalpy calculations. Aitomia was the first intelligent assistant publicly launched on cloud computing platforms for broad-scope atomistic simulations (Aitomistic Lab@XMU at https://atom.xmu.edu.cn and Aitomistic Hub at https://aitomistic.xyz). Aitomia lowers the barrier to performing atomistic simulations, thereby democratizing simulations and accelerating research and development in relevant fields.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 15 of its 60 references that are in the map. First posted on arXiv 13 May 2025.
Builds on
15 of 60 references.
References · 15
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Citing papers per year: 2025: 2; 2026: 6.
8 papers.
- 2025From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discoverycited by 77
- 2026Harnessing AtomisticSkills for Agentic Atomistic Researchcited by 6
- 2026El Agente Estructural: An Artificially Intelligent Molecular Editorcited by 5
- 2026SimMOF: AI agent for Automated MOF Simulationscited by 5
- 2026El Agente Gr'afico: A Semantic Execution Runtime for Scientific Agentscited by 4
- 2025Exploring Modularity of Agentic Systems for Drug Discoverycited by 3
- 2026La Agente 'Optima: Towards Agentic Self-Driving Laboratoriescited by 1
- 2026El Agente Potente: High-Throughput Agentic Atomistic Simulationscited by 0
- 2026El Agente Potente: High-Throughput Agentic Atomistic Simulations13 Sep 2026
- 2026La Agente 'Optima: Towards Agentic Self-Driving Laboratories3 Sep 2026
- 2026Harnessing AtomisticSkills for Agentic Atomistic Research18 May 2026
- 2026SimMOF: AI agent for Automated MOF Simulations31 Mar 2026
- 2026El Agente Gr'afico: A Semantic Execution Runtime for Scientific Agents19 Feb 2026
- 2026El Agente Estructural: An Artificially Intelligent Molecular Editor4 Feb 2026
- 2025From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery18 Aug 2025
- 2025Exploring Modularity of Agentic Systems for Drug Discovery27 Jun 2025
Similar, not cited
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- 2026QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities
- 2025ChemGraph: An Agentic Framework for Computational Chemistry Workflows
- 2026An Agentic Orchestration of Atomistic Simulations
- 2026El Agente Quntur: A research collaborator agent for quantum chemistry
- 2026Science Done on a Machine by a Machine: AI Agents in Computational Chemistry
- 2024AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence
- 2025Prospects for Using Artificial Intelligence to Understand Intrinsic Kinetics of Heterogeneous Catalytic Reactions
- 2026LLM-Guided Test-Time Discovery of Quantum-Chemical Approximation Algorithms