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Shining a Light on Dark Matter

NEU research connects human endeavors in understanding the universe and quantum technologies that could revolutionize computers and communications.

Arun Bansil’s research group at Northeastern University focuses on theoretical and computational condensed matter physics, using advanced simulations to explore the electronic structure and quantum properties of materials such as topological insulators, superconductors, and complex oxides. Their work leverages high-performance computing to simulate electronic structure and quantum properties at the atomic scale to guide the design of next-generation quantum and electronic devices.

In a major breakthrough published in Nature, researchers in Bansil's group with an international team of collaborators have successfully observed axion-like quasiparticles in laboratory conditions with implications for dark matter research. Axions are hypothetical fundamental particles first proposed in 1977-1978 as one potential explanation for dark matter, which comprises about 27% of the universe's mass-energy but has never been detected. The team used a specially engineered material—manganese bismuth telluride (MnBi₂Te₄), a magnetic topological insulator—to observe axion-like quasiparticles using ultrafast optical techniques.

This research bridges theoretical physics and experimental validation, potentially paving the way for quantum technologies like high-speed magnetic memory and single-photon detectors. The Department of Energy has selected a proposal by Northeastern physicist Kin Chung Fong, a co-author of this study, to develop such a detector, which could be used in future searches for fundamental axion particles.

As with much of the research computing in the Bansil lab, the work benefited from the resources of the Discovery Cluster for the advanced computational modeling and simulations required to interpret experimental data used in this study.

 

 

Arun Bansil
University Distinguished Professor of Physics at Northeastern University, renowned for his work in theoretical condensed matter and materials physics. He is the Founding Director of Northeastern’s Quantum Materials and Sensing Institute.
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Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute - Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer - Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer's Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Asteroid Data Mining
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Computation + Machine Intelligence | Wu Tsai Institute
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
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