NSF Grant Will Bring Network Science to Solid Materials

Northeastern will soon embark on a collaborative project to bring the methods of network science to the world of small particles and novel materials, with help from a substantial National Science Foundation grant. 

A team of Northeastern researchers, helmed by Albert-Laszlo Barabasi, Robert Gray Dodge Professor of Network Science and a Distinguished University Professor, will be part of an interdisciplinary, multi-university effort to establish a center to study new ways of harnessing the power of network thinking to engineer new “shapeable particle-based matter,” the grant proposal reads. 

Disbursed across five years with the potential for an additional five years of funding, the award would establish a “Center for Complex Particle Systems,” dubbed COMPASS, that would house and promote research experiments designed to probe specifically “colloidal” particles for potential new applications, on the one hand, while offering “social justice and economic opportunities for disadvantaged high school students, minorities and veterans,” on the other, according to the project’s aims.

The COMPASS project will receive up to $30 million in funding across a five-year period. As the world’s leader on network science, an interdisciplinary team at Northeastern’s Network Science Institute has been exploring the underlying networks present in systems that range, among numerous others, social networks, the internet, the ecosphere, brain connections and epidemic models of disease spread, including COVID-19.

Broadly construed, network science is the study of such wide-ranging networks (social, biological, political), with the goal of better understanding the interconnections, processes and unexplored links in complex systems — how they might resemble other natural or social systems in structure. Most academic fields contend with networks, says Barabasi, whose work in mapping part of the topography of the World Wide Web led to the discovery of scale-free networks in 1999.

In addition to the University of Michigan and Northeastern, partner institutions include University of Illinois Urbana-Champaign, Chicago State University and the University of Southern California. The multi-university team “unites scientists specializing in theory, modeling, simulation, computation, experimentation and manufacturing of particle-based materials,” the proposal reads. 

Experiments will deploy a set of tools and theoretical approaches — graph theory, machine learning and advanced microscopy, among others — to probe the colloidal particles, with the goal of discovering new materials that could potentially be used in large-scale manufacturing.

“There is an increasing realization that networks could also be important in material science,” Barabasi tells Northeastern Global News. “I was a material scientist before I started to work on network science, so this kind of a research opportunity with UMichigan allows us to think about how we can take what we’ve learned from network science over the last 20 years to develop new kinds of materials or new applications.”

Every material constitutes a network, Barabasi says. Materials are made up of atoms connected by chemical bonds; they can be, as he says, “regular,” like a diamond lattice, or they can be “irregular,” or amorphous materials. 

“In general, the belief is that whatever nature gives us in terms of bonds is what we have to work with,” Barabasi says. “However, network science as a discipline has shown us that there are many different ways to build a network.”