Tag Archives: lectures

Videos from SMLQC-2023

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SMLQC-2023 (The Second International Symposium on Machine Learning in Quantum Chemistry) is over, but we have a collection of videos with the talks!

All SMLQC-2023 videos: https://www.youtube.com/playlist… (originally from the conference host’s channel: https://www.youtube.com/playlist… – worth subscribing!)

Browse and subscribe to the YouTube channel of SMLQC https://www.youtube.com/@mlqc/playlists

Here is the talk by the first speaker Olexandr Isayev on AIMNet 2: A Neural Network Potential to Meet your Neutral, Charged, Organic, & Elemental-Organic Needs:

Recordings of the 4th SMLQC seminar are now available, Speaker Daniel Schwalbe-Koda 

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The 4th seminar was given by Daniel Schwalbe-Koda on Adversarial Sampling and Extrapolation Trends in NN Potentials. The 1st part of the seminar was a Lecture (https://youtu.be/K9yfi_qZ2OU) followed by a 2nd part with hands-on Tutorial (https://youtu.be/Yn8N34cBeLg). Recordings are also embedded below.

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Recordings of the 3rd SMLQC seminar are now available, Speaker Pascal Friederich

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The 3rd seminar was given by Pascal Friederich on ML for Simulation, Understanding, and Design of Molecules and Materials. The 1st part of the seminar was a Lecture (https://youtu.be/WWxdZjXeK7w) followed by the 2nd part with hands-on Tutorial (https://youtu.be/8c8KB0V1bC4). Recordings are also embedded below.

To get updated

Lecture
Tutorial

Recordings of the 2nd SMLQC seminar are now available, Speaker Max Pinheiro Jr

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The 2nd seminar was given by Max Pinheiro Jr about his work on nonadiabatic molecular dynamics with machine learning. The 1st part of the seminar was a Lecture (https://youtu.be/9jRxeMzpkLg) followed by the 2nd part with hands-on Tutorial (https://youtu.be/yMDUKhzipj0). Recordings are also embedded below.

To get updated

Lecture
Tutorial

Recordings of the 1st SMLQC seminar are now available, Speaker Arif Ullah

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The 2nd seminar was given by Arif Ullah about his work on Quantum Dissipative Dynamics with Machine Learning. The 1st part of the seminar was a Lecture (https://youtu.be/Nx0mSPUaof8) followed by the 2nd part with hands-on Tutorial (https://youtu.be/AuWGiK53P6Y). Recordings are also embedded below.

To get updated

Lecture
Tutorial

Seminars on Machine Learning in  Quantum Chemistry and Quantum Computing for Quantum Chemistry (SMLQC)

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We are pleased to announce the launch of Seminars on Machine Learning in  Quantum Chemistry and Quantum Computing for Quantum Chemistry (SMLQC) that are flexible online lectures and tutorials for highlighting recent developments and providing hands-on experience on the title topics as well as networking opportunities. SMLQC sessions are organized to bridge Symposia on Machine Learning and Quantum Chemistry, the first one held in 2021 in Xiamen, China (online) and the second one to be held in 2023 in Uppsala, Sweden (hybrid). The real-time interaction is enabled via a dedicated Slack workspace which already has many researchers active in the title fields.

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