Zuehlsdorff, Tim J.

1. Exploiting machine learning to efficiently predict multidimensional optical spectra in complex environments
   2020/05/19 by Chen, Michael S., Zuehlsdorff, Tim J., Morawietz, Tobias +2 · 1 citation
   #Chemical Physics (physics.chem-ph) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech)
2. Elucidating the role of hydrogen bonding in the optical spectroscopy of the solvated green fluorescent protein chromophore: using machine learning to establish the importance of high-level electronic structure
   2023/05/26 by Michael S. Chen, Chen, Michael S., Yuezhi Mao +13 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Neuroscience · Physics and Astronomy · #Advanced Fluorescence Microscopy Techniques #Chemical Physics (physics.chem-ph) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Photoreceptor and optogenetics research #Spectroscopy and Quantum Chemical Studies
3. Computing linear optical spectra in the presence of nonadiabatic effects on Graphics Processing Units using molecular dynamics and tensor-network approaches
   2024/06/26 by Lambertson, Evan, Bashirova, Dayana, Hunter, Kye E. +2 · 1 citation
   #Chemical Physics (physics.chem-ph) #FOS: Physical sciences
4. Two-dimensional electronic spectroscopy in the condensed phase using equivariant transformer accelerated molecular dynamics simulations
   2025/03/28 by Kelly, Joseph, Hu, Frank, Damiani, Arianna +10 · 2 citations
   #Chemical Physics (physics.chem-ph) #FOS: Physical sciences