Materials & Nanotechnology

Researchers focus on the creation and evaluation of novel materials that improve systems in healthcare, electronic interfaces, sustainability, and the environment.

As a student of chemical engineering at Northeastern University who wants to focus on materials and nanotechnology, you will interact with a multidisciplinary group of our faculty to learn aspects of materials development from synthesis, and characterization, to performance evaluation for a variety of applications. You will have access to state-of-art facilities on campus and can become an expert in one or multiple areas of materials research including:

  • batteries & energy storage systems, including the study of mechanisms within complex electrochemical systems. Research focuses on engineering materials and composite electrodes based on these materials, to address two critical needs for battery engineering: reducing cost and eliminating flammability.
  • molecular/materials chemistry and structure for new property discovery, new functionality, and technology development by combining theory, high-performance computing, and experimental methods.
  • nanoparticles, nanowires, 2D nanomaterials, and nanoporous materials, for energy, water, and biomedical-related applications such as energy conversion, heat transfer, water purification and desalination, chemical and biological sensing, nanomedicine, and drug delivery.
  • biomimetic, biologically-inspired materials for neural, intestinal, cardiovascular & retinal tissue engineering. This research exploits current knowledge of biology to engineer new drug delivery and tissue engineering platforms.
  • advanced magnetic and electronic materials for energy, strategic materials, and supply chains for technological application.

Examples of research of faculty in their labs being conducted in this research area are highlighted below. Also, view all faculty associated with this research area.

Debra Auguste
August Lab for Responsive Drug Delivery and Tissue Engineering engineers solutions to address current challenges in medicine
Magda Barecka
Assistant Professor
Barecka Lab focuses on transforming CO2 into the next generation of chemical building blocks. We work at the intersection of electrochemistry, catalysis, sustainability and process intensification.
Rebecca Carrier
Advanced Drug Delivery Research (ADDRES) Laboratory conducts research in regenerative medicine, with a focus on intestinal and retinal tissue engineering, and in oral drug delivery, with a focus on enabling effective oral delivery of therapeutics.
Eno Ebong
Associate Professor
Ebong Laboratory focuses on studying the effects of the mechan­ical forces of blood flow on the endothe­lial cells that line and pro­tect our blood vessels—work that is aimed at advancing vas­cular dis­ease treatment.
Joshua Gallaway
DiPietro Assistant Professor
Analysis of Complex Electrochemical Systems (ACES) lab studies mechanisms within complex electrochemical systems.
Sara Hashmi
Assistant Professor
Complex Fluids Lab
Ryan Koppes
Assistant Professor
Laboratory for Neuromodulation and Neuromuscular Repair studies the physical bridge between cells and electronics to improve nerve gap and prosthetic technologies.
Laura Lewis
Distinguished University and Cabot Professor
Nanomagnetism Research Group works on a variety of research topics that aim to gain fundamental understandings of process-structure-magnetism correlation in technologically relevant magnetic and electronic materials.
Ming Su
Su Nanomaterials and Nanomedicine Group at Northeastern University focuses on fundamental and applied researches on materials and medicines.
Rebecca Willits
Professor and Chairperson
Materials for Tissue Engineering manipulates the extracellular environment to increase neural differentiation, nerve regrowth, and Schwann cell proliferation in vitro and increase functional nerve recovery in vivo.
Qing Zhao
Assistant Professor
Zhao Research Group- Computation Catalyst Design works at the interface with computational chemistry, materials science, sustainable energy, and machine learning.