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SUMMARY:Automated Data Generation for Machine Learning Force Fields with a
 ims-PAX and FHI-aims
DTSTART:20261007T120000Z
DTEND:20261008T153000Z
DTSTAMP:20260910T024200Z
UID:indico-event-23@events.ms1p.org
CONTACT:aims-coordinators@ms1p.org
DESCRIPTION:Speakers: Tobias Henkes (University of Luxembourg\, Luxembourg
 )\n\n\n\n \n\nSave the date(Calendar Entry / Zoom Link)\n\n\nWatch on You
 Tube\n\nWatch on KouShare\n\nJoin us for this webinar\, consisting of an e
 xpert talk and interactive hands-on sessions\, on automated data generatio
 n for machine learning force fields with aims-PAX and FHI-aims.\nMachine l
 earning force fields (MLFFs) have transformed molecular and materials simu
 lations. They have become the method of choice for simulating the dynamics
  of large and complex systems\, from flexible biomolecules to bulk materia
 ls\, with near quantum-chemical accuracy at a fraction of the computationa
 l cost of ab initio methods. Yet the accuracy and reliability of any MLFF 
 depends upon the data it is trained on. Collecting representative\, high-q
 uality reference data sets remains a bottleneck. It is often labor-intensi
 ve\, requires expert knowledge\, and consumes substantial computational re
 sources.\nActive learning has proven to be a successful strategy for addre
 ssing this data challenge\, allowing the model itself to decide which conf
 igurations are most informative and should be labeled with expensive ab in
 itio calculations. In this webinar\, we will explore how aims-PAX (Paralle
 l Active eXploration)\, a fully automated\, open-source framework integrat
 ed with FHI-aims\, streamlines the data generation process. Tobias Henkes 
 will showcase how aims-PAX autonomously builds high-quality reference data
  sets by coupling diversified multi-trajectory sampling with scalable trai
 ning across CPU and GPU architectures\, and how general-purpose (often ref
 erred to as "foundational") force fields can kick-start data acquisition f
 or diverse molecular and materials systems.\nThe webinar will demonstrate 
 how aims-PAX reduces the number of required reference calculations by up t
 o three orders of magnitude while enabling a 10-fold speedup in active lea
 rning time through optimized resource utilization. It will also demonstrat
 e how the framework can generate data across gas-phase\, solvated\, and pe
 riodic systems\, from highly flexible peptides and multiple organic molecu
 les to explicitly solvated molecules and materials such as perovskites. Ad
 ditionally\, it will be shown how the automatically collected data sets ar
 e used to train state-of-the-art MLFF architectures such as MACE\, making 
 aims-PAX a versatile tool for data-driven force-field generation in both a
 cademic and industrial settings.\nWhat will be covered?\n\n\nDiscover how 
 to automatically generate high-quality reference data sets for machine lea
 rning force fields using parallel active exploration with aims-PAX and FHI
 -aims.\n\n\nUnderstand how efficient CPU/GPU workload management substanti
 ally reduces the overall cost of data generation.\n\n\nParticipate in a gu
 ided hands-on demonstration on cloud resources to learn how to run these w
 orkflows with aims-PAX and FHI-aims.\n\n\nBoth the webinar and hands-on se
 ssion are free to attend without registration. The hands-on session addres
 ses novice users of FHI-aims\, but may also be interesting to experienced 
 users. Following along and running the calculations in the AWS cloud is c
 ompletely free\, allowing you to gain practical experience with FHI-aims.
  \nWe provide resources for running the calculations during the hands-on 
 session\, but you need to register in advance to obtain access to the comp
 ute resources.\nRegister now!\nSpeaker:\naims-PAX: Automated Data Generati
 on through Parallel Active Exploration with FHI-aims\nTobias Henkes\nDocto
 ral Researcher\, University of Luxembourg\, Luxembourg\n\nWhen? \n\n\n\n\
 nWebinar Talks + Q&A\nWednesday\, 07.10.2026:\n08:00 - 09:30 EDT (USA East
 )\n14:00 - 15:30 CEST (Europe)\n17:30 - 19:00 IST (India)\n \n\n\nHands-O
 n and Discussions Session 1\nThursday\, 08.10.2026:\n09:00 - 10:30 CEST (E
 urope)\n12:30 - 14:00 IST (India)\n15:00 - 16:30 CST (China)\n16:00 - 17:3
 0 JST (Japan)\n\n\nHands-On and Discussions Session 2\nThursday\, 08.10.20
 26:\n07:00 - 08:30 PDT (USA Pacific)\n10:00 - 11:30 EDT (USA East)\n16:00 
 - 17:30 CEST (Europe)\n \n\n\n\n\n\nPlease choose the hands-on and discus
 sion block that fits your schedule the best. The hands-on session will as
 sume a basic understanding of the FHI-aims input files. If you don't have 
 experience with FHI-aims\, you can learn the first steps from this short Y
 ouTube video:The Basics of FHI-aims\n\nhttps://events.ms1p.org/event/23/
LOCATION:Zoom: https://us06web.zoom.us/j/84093695453
URL:https://events.ms1p.org/event/23/
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