Advanced Materials Thrust Research

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Intelligent materials to connect human and artificial intelligence".
Intelligent materials to enable wireless brain-machine interface

To be at the forefront of the next industrial revolution, we, the University of Miami, need to embrace this movement. Building a strong interdisciplinary AM program at CoE would also directly and positively impact other key schools within the U. College of Arts and Sciences, Rosenstiel School of Marine and Atmospheric Science, Miller School of Medicine, School of Architecture, School of Law, and Business School will have the opportunity to leverage and directly participate in AM research to build energy-efficient and ultra-fast quantum and neuromorphic computers, design novel renewable energy sources, create life-saving medicine with reduced or no side effects, engineer faster and safer airplanes and spaceships, shape the green architecture of the future, and form new laws to regulate any foreseen ethical issues related to a future world driven by technology.

Being both interdisciplinary and cross-disciplinary, for the AM program to thrive, we need to involve key researchers, both young and senior, from all the colleges, to harmoniously integrate the program into the ecosystem of the U. The goal is to grow by growing into existing units and reciprocally, help existing units adapt for conducting research and train students suitable for solving most important societal problems.

Basic Research Directions

Materials Synthesis

  • Self-assembled Nanostructures
  • Molecular Synthesis and Characterization
  • Aerosol and Gas Phase Synthesis
  • Additive Manufacturing

Multiscale Modeling

  • Molecular and Atomistic Simulations
  • Mesoscale Particle Synthesis Modeling (Nanometer to Submicrometer Scale; Multicomponent)
  • Continuum and Device Scale Models

Material Types

  • Structural, High-temperature, and Nuclear Materials
  • Bioinspired Materials & Biocompatible Materials
  • Quantum Systems
  • Multifunctional, Smart Materials
  • Soft Materials and Flexible Electronics
  • Metamaterials
  • Semiconducting Materials

Application Areas

Discrete Dislocation Dynamics (DDD) simulation of hardening in refractory metal W. DDD is a continuum method able to predict the mechanical response of crystalline materials at the mesoscale without atomistic resolution. Lines defects known as dislocations are tracked discretely and their motion carries plastic deformation.
Discrete Dislocation Dynamics (DDD) simulation of hardening in refractory metal W. DDD is a continuum method able to predict the mechanical response of crystalline materials at the mesoscale without atomistic resolution. Lines defects known as dislocations are tracked discretely and their motion carries plastic deformation.

With focus on these basic AM areas, faculty and student researchers at CoE and other participating colleges will work together to address open questions in the following application areas:

  • Energy-efficient Ultra-fast Computing
  • Advanced Materials for Renewable Energy & Energy Conversion
  • Advanced Materials for Power Generation and Transport
  • Advanced Materials for Defense
  • Advanced Materials for Healthcare and Medicine
  • Advanced Materials for Environmental Sciences
  • Machine Learning for Materials
  • Advanced Materials for Sustainable Infrastructure
  • Advanced Materials for Agriculture
  • Advanced Materials for Space Explorations
  • Smart Catalytic Materials