Machine Learning For Interatomic Potentials

Media Summary: This video was recorded as part of the 4th IKZ - FAIRmat winter school, a hybrid event, online and on-site in Berlin, January 23 -25 ... This lecture covers an specific challenge with large importance to 2021.01.27 Yunxing Zuo, University of California, San Diego This video is part of NCN's Hands-on Data Science and

Machine Learning For Interatomic Potentials - Detailed Analysis & Overview

This video was recorded as part of the 4th IKZ - FAIRmat winter school, a hybrid event, online and on-site in Berlin, January 23 -25 ... This lecture covers an specific challenge with large importance to 2021.01.27 Yunxing Zuo, University of California, San Diego This video is part of NCN's Hands-on Data Science and QISCA Journal Club 2026 winter break - January 26th Presentation by Seungbin Gweon(권승빈), KHUantum Title: In Episode 3 of Let's Talk Research, we dive into the fast-evolving world of Recorded 22 May 2023. Justin Smith of NVIDIA presents "The state of neural network

Message Passing Atomic Cluster Expansion, Lennard-Jones Centre discussion group seminar by Dr Claudio Zeni from International School for Advanced Studies in Trieste. Join Portal to connect with the speakers: This is a recording from the 2024 IMA Data Science Seminar Speaker: Yangshuai Wang, University of British Columbia "Advancing 12 February, 2026 15:00 (local Swedish time)

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Daniel Schwalbe Koda: Machine learning for interatomic potentials

Lecture 7: Interatomic Potentials

Machine Learning Meets Molecular Dynamics: A Crash Course in MLIPs for Solids

Convenient and efficient development of Machine Learning Interatomic Potentials

[JC] Machine Learning Interatomic Potentials

Let's Talk Research Episode 3: Machine-learned interatomic potentials (MLIPs)

Justin Smith - The state of neural network interatomic potentials - IPAM at UCLA

Lec 43 Machine learned interatomic potentials hands on

Machine learning potentials always extrapolate, it does not matter

Day 2 - Learning ML Interatomic Potentials | Gianni De Fabritiis

Advancing Machine-Learned Interatomic Potentials: Enhancing Accuracy & Robustness in Materials Sci.

Beyond Interatomic Potentials - Further Acceleration of Atomic-Scale SImulations

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Daniel Schwalbe Koda: Machine learning for interatomic potentials

Daniel Schwalbe Koda: Machine learning for interatomic potentials

This video was recorded as part of the 4th IKZ - FAIRmat winter school, a hybrid event, online and on-site in Berlin, January 23 -25 ...

Lecture 7: Interatomic Potentials

Lecture 7: Interatomic Potentials

This lecture covers an specific challenge with large importance to

Machine Learning Meets Molecular Dynamics: A Crash Course in MLIPs for Solids

Machine Learning Meets Molecular Dynamics: A Crash Course in MLIPs for Solids

... the evolution of

Convenient and efficient development of Machine Learning Interatomic Potentials

Convenient and efficient development of Machine Learning Interatomic Potentials

2021.01.27 Yunxing Zuo, University of California, San Diego This video is part of NCN's Hands-on Data Science and

[JC] Machine Learning Interatomic Potentials

[JC] Machine Learning Interatomic Potentials

QISCA Journal Club 2026 winter break - January 26th Presentation by Seungbin Gweon(권승빈), KHUantum Title:

Let's Talk Research Episode 3: Machine-learned interatomic potentials (MLIPs)

Let's Talk Research Episode 3: Machine-learned interatomic potentials (MLIPs)

In Episode 3 of Let's Talk Research, we dive into the fast-evolving world of

Justin Smith - The state of neural network interatomic potentials - IPAM at UCLA

Justin Smith - The state of neural network interatomic potentials - IPAM at UCLA

Recorded 22 May 2023. Justin Smith of NVIDIA presents "The state of neural network

Lec 43 Machine learned interatomic potentials hands on

Lec 43 Machine learned interatomic potentials hands on

Message Passing Atomic Cluster Expansion,

Machine learning potentials always extrapolate, it does not matter

Machine learning potentials always extrapolate, it does not matter

Lennard-Jones Centre discussion group seminar by Dr Claudio Zeni from International School for Advanced Studies in Trieste.

Day 2 - Learning ML Interatomic Potentials | Gianni De Fabritiis

Day 2 - Learning ML Interatomic Potentials | Gianni De Fabritiis

Join Portal to connect with the speakers: https://portal.valencelabs.com/ This is a recording from the 2024

Advancing Machine-Learned Interatomic Potentials: Enhancing Accuracy & Robustness in Materials Sci.

Advancing Machine-Learned Interatomic Potentials: Enhancing Accuracy & Robustness in Materials Sci.

IMA Data Science Seminar Speaker: Yangshuai Wang, University of British Columbia "Advancing

Beyond Interatomic Potentials - Further Acceleration of Atomic-Scale SImulations

Beyond Interatomic Potentials - Further Acceleration of Atomic-Scale SImulations

Machine

Dr. Volker Deringer (Oxford) --- Machine-learned interatomic potentials for materials chemistry

Dr. Volker Deringer (Oxford) --- Machine-learned interatomic potentials for materials chemistry

12 February, 2026 15:00 (local Swedish time)