MANNA 2017: Modeling, Analysis, and Numerics for Nonlocal Applications

Abstract

The objective of the workshop is to unite the separate communities of fractional calculus and nonlocal calculus, allowing the participants to explore differences and similarities between them. A central goal is to gather together senior and junior researchers conducting leading research on nonlocal models to exchange their recent progress and results and to propose future research guidelines. The workshop is designed to facilitate the exchange of information across the topics above and the establishment of connections between topics. Specifically, the goals of the workshop are to: 1) establish synergies between participants working on fractional PDEs with those working on general nonlocal integral models; 2) provide researchers at all career stages with the opportunity to present their state-of-the-art results; 3) identify the most important needs and most potentially fruitful avenues for future nonlocal research and related applications (this will be facilitated by the discussion session at the end of each day that focuses on a review of the recent past and near-future research directions); 4) provide opportunities for junior researchers already working on nonlocal problems to publicize their work and to interact with senior researchers from around the world. The research topics represented by the speakers are aligned and support the research goals of the Army. More specifically, a central focus of the workshop are the objectives of the Mathematical Sciences division (including multiscale methods, fractional order methods and novel methodologies in numerical analysis) and, secondarily, of the Mechanical Sciences and Material Sciences divisions.

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 16, 2018
Source ID
W911NF1710408

Entities

People

  • George Karniadakis

Organizations

  • Army Contracting Command
  • Brown University
  • United States Army

Tags

Readers

  • Academic Conference Management
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Systems Analysis and Design