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Course abstract and objectives The Generalized or eXtended Finite Element Method (G/XFEM) has received increased attention and undergone substantial development during the last decade. This method offers unprecedented flexibility in the construction of shape functions and corresponding approximation spaces. With the proper selection of enrichment functions,(More)
A new methodology to build discrete models of boundary-value problems is presented. The h-pcloud method is applicable to arbitrary domains and employs only a scattered set of nodes to build approximate solutions to BVPs. This new method uses radial basis functions of varying size of supports and with polynomial-reproducing properties of arbitrary order. The(More)
SUMMARY A new generalized FEM is introduced for solving problems with discontinuous gradient fields. The method relies on enrichment functions associated with generalized degrees of freedom at the nodes generated from the intersection of the phase interface with element edges. The proposed approach has several advantages over conventional generalized FEM(More)
Research Interests • Neural basis of human memory using functional magnetic resonance imaging (fMRI) • Functional contributions of medial temporal lobe substructures to episodic memory • Attentional and motivational modulation of memory in the medial temporal lobe • Combining computational modeling and fMRI to understand medial temporal lobe contributions(More)
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