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SUMMARY:Electronic Structure Reading Group: Multitask Surrogate Models for
  Heterogeneous Electronic Structures Data
DTSTART:20240610T160000
DTEND:20240610T173000
DTSTAMP:20260410T150406Z
UID:dfba9702a1a784067012e6560c0e5c0c9522b0628af4ceaf2e1e7067
CATEGORIES:Conferences - Seminars
DESCRIPTION:Katharine Fisher (MIT)\nPhysical data is increasingly openly 
 accessible though it may be challenging to definitively rank the accuracy 
 of different information sources. We demonstrate that multitask Gaussian p
 rocess regression can leverage “datasets of opportunity” to efficientl
 y construct surrogate models.\n\nKatharine Fisher\, Michael F. Herbst\, an
 d Youssef Marzouk. "Multitask methods for predicting molecular properties 
 from heterogeneous data." arXiv preprint arXiv:2401.17898 (2024). https
 ://arxiv.org/abs/2401.17898\n\n---\n\nThe electronic structure reading gro
 up brings together researchers and students interested in mathematical asp
 ects of electronic structure problems and adjacent topics\, including:\n\n
 	Density Functional Theory\n	Many-body Schrödinger equation for electrons
 \n	Born-Oppenheimer Molecular Dynamics\n	Numerical analysis and error cont
 rol\n\nFor updates\, join the matrix chat room at #electronic-structure:e
 pfl.ch (requires a GASPAR account).\n\nWebsite: https://matmat.org/readi
 nggroup/
LOCATION:MA B2 485 https://plan.epfl.ch/?room==MA%20B2%20485
STATUS:CONFIRMED
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