AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics.
Lorenzo CasalinoAbigail C. DommerZied GaiebEmília P. BarrosTerra SztainSurl-Hee AhnAnda TrifanAlexander BraceAnthony T. BogettiAustin ClydeHeng MaHyungro LeeMatteo TurilliSyma KhalidLillian T. ChongCarlos SimmerlingDavid J. HardyJulio D. C. MaiaJames C. PhillipsThorsten KurthAbraham C. SternLei HuangJohn D. McCalpinMahidhar TatineniTom GibbsJohn E. StoneShantenu JhaArvind RamanathanRommie E. AmaroPublished in: Int. J. High Perform. Comput. Appl. (2021)
Keyphrases
- multiscale
- agent based simulations
- artificial intelligence
- expert systems
- image processing
- numerical simulations
- dynamic model
- case based reasoning
- image segmentation
- edge detection
- multiscale analysis
- natural images
- computational systems
- wavelet transform
- scale space
- ai systems
- public health
- coarse to fine
- affine invariant
- multiscale representation
- ai technologies
- machine learning
- severe acute respiratory syndrome
- dynamical systems
- knowledge based systems
- intelligent systems
- data driven
- knowledge representation
- multiresolution
- information systems
- computational models
- knowledge representation and reasoning
- filter bank
- neural mechanisms