Understanding how a crack grows in metal requires simultaneously calculating the behavior of hundreds of billions of atoms: ...

Driven by several converging developments, the relationship between modelling and experimentation in complex systems has entered a new phase. The abundance ...

Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...

Abstract: In this letter, a hybrid element-level and subdomain-level discontinuous Galerkin time-domain (DGTD) method is proposed for efficient modeling of multiscale electromagnetic problems. Based ...

Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying ...

Dr. Mina Yoon is the leader of the Multiscale Modeling and Intelligent Materials Discovery group at ORNL and a joint faculty member at the University of Tennessee, Knoxville. She holds a Ph.D. in ...

Low-rank tensor completion has become a fundamental tool for recovering high-dimensional data from incomplete observations. However, conventional methods rely primarily on algebraic low-rank priors ...

This tutorial uses SYNTHETIC clinical data by default (USE_SYNTHETIC = True).

Abstract: Traditional single-label learning assumes each instance belongs to only one category, which limits its ability to describe real-world objects with multiple semantics. Although multi-label ...