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1 Ergebnisse
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Graphormer-IR: Graph Transformers Predict Experimental IR S..:
Stienstra, Cailum M. K.
;
Hebert, Liam
;
Thomas, Patrick
...
Journal of Chemical Information and Modeling. 64 (2024) 12 - p. 4613-4629 , 2024
Link:
https://doi.org/10.1021/acs.jcim.4c00378
RT Journal T1 <Title>Graphormer-IR: Graph Transformers Predict Experimental IR Spectra Using Highly Specialized Attention</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jcim.4c00378&Exemplar=1&LAN=DE A1 Stienstra, Cailum M. K. A1 Hebert, Liam A1 Thomas, Patrick A1 Haack, Alexander A1 Guo, Jason A1 Hopkins, W. Scott PB American Chemical Society (ACS) YR 2024 SN 1549-9596 SN 1549-960X JF Journal of Chemical Information and Modeling VO 64 IS 12 SP 4613 OP 4629 LK http://dx.doi.org/https://doi.org/10.1021/acs.jcim.4c00378 DO https://doi.org/10.1021/acs.jcim.4c00378 SF ELIB - SuUB Bremen
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