AI-Driven Atomistic Modeling with Advance/NanoLabo: Bridging Simulation and Machine Learning

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2026 IEEE NTC TC10 Modeling & Simulation May Webinar


Abstract:

In this talk, we present the latest developments and applications of Advance/NanoLabo, an integrated platform for first-principles calculations and molecular dynamics simulations. In particular, we highlight the “Autopilot” feature, which enables automatic generation of atomistic models from natural language input, significantly reducing the complexity and expertise traditionally required for modeling tasks.

We also demonstrate large-scale simulation results using machine learning interatomic potentials accelerated by GPU clusters, showcasing both computational efficiency and predictive accuracy. In addition, we briefly introduce our recent progress in orbital-free density functional theory (OF-DFT), based on our proprietary “Theory of Graphical.”



  Date and Time

  Location

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  • Contact Event Host
  • Dr. Bettermann, Chair IEEE Region 2 Susquehanna Section Nano Chapter CH02177 

    bettermann@ieee.org

    Register for free here:

    2026 IEEE NTC TC10 Modeling & Simulation May Webinar | IEEE Nanotechnology Council
    (Zoom (link) details will be sent by email after registration)

     

     
  • Co-sponsored by IEEE Nanotechnology Council


  Speakers

Dr. Satomichi of Department of Electronics and Telecommunications at Politecnico di Torino (Turin, Italy)

Topic:

AI-Driven Atomistic Modeling with Advance/NanoLabo: Bridging Simulation and Machine Learning

 

Abstract:

In this talk, we present the latest developments and applications of Advance/NanoLabo, an integrated platform for first-principles calculations and molecular dynamics simulations. In particular, we highlight the “Autopilot” feature, which enables automatic generation of atomistic models from natural language input, significantly reducing the complexity and expertise traditionally required for modeling tasks.

We also demonstrate large-scale simulation results using machine learning interatomic potentials accelerated by GPU clusters, showcasing both computational efficiency and predictive accuracy. In addition, we briefly introduce our recent progress in orbital-free density functional theory (OF-DFT), based on our proprietary “Theory of Graphical.”

Biography:

Bio:

Satomichi Nishihara is a software developer and Executive Officer at AdvanceSoft Corporation. He received his M.Sc. in Science from Osaka University in 2009 and joined AdvanceSoft in 2018.

As an open-source contributor, he has implemented several key methods in Quantum ESPRESSO, including RMM-DIIS and 3D-RISM/ESM-RISM. His work also includes the development of neural network-based interatomic potentials and machine learning-based density functionals, covering both algorithm design and software implementation.

 

Address:Tokyo, Japan





Agenda

Title: AI-Driven Atomistic Modeling with Advance/NanoLabo: Bridging Simulation and Machine Learning

Date/Time: 13 May 2026, 5:00 am EDT (New York) ,18:00 Japan Standard Time (17:00 China, 11:00 Central European Summer Time, 10:00 UK)

Speaker: Satomichi Nishihara, Executive Officer and Software Developer ,AdvanceSoft Corporation

 

ZOOM LINK

Date: ​13 May 2026

 

Time: 5:00 am EDT (New York)

 

Zoom link: https://zoom.us/j/94892424748?pwd=oNMaJyHHmYIoy6aXgxXqPzNpmvO9uA.1

Meeting ID:  948 9242 4748

Passcode: 206370