Debjani Singh: Channeling a river of data for clean energy, sustainability
Filter News
Area of Research
- (-) Materials (22)
- Advanced Manufacturing (1)
- Biology and Environment (18)
- Clean Energy (30)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (2)
- Materials for Computing (5)
- National Security (13)
- Neutron Science (4)
- Supercomputing (20)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Artificial Intelligence (5)
- (-) Biomedical (2)
- (-) Computer Science (2)
- (-) Grid (2)
- (-) Materials Science (9)
- (-) Microscopy (4)
- (-) Polymers (3)
- (-) Transportation (2)
- Advanced Reactors (1)
- Bioenergy (3)
- Biology (3)
- Buildings (2)
- Chemical Sciences (11)
- Clean Water (1)
- Composites (2)
- Coronavirus (2)
- Critical Materials (3)
- Cybersecurity (1)
- Decarbonization (3)
- Energy Storage (13)
- Environment (4)
- Exascale Computing (1)
- Frontier (2)
- Fusion (1)
- High-Performance Computing (4)
- Isotopes (2)
- Machine Learning (2)
- Materials (25)
- Nanotechnology (6)
- National Security (2)
- Neutron Science (4)
- Nuclear Energy (1)
- Partnerships (4)
- Physics (5)
- Quantum Science (2)
- Security (1)
- Simulation (1)
- Sustainable Energy (2)
- Transformational Challenge Reactor (1)
Media Contacts
Muralidharan was recognized for “a highly prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on the quality of life, economic development and welfare of society.”
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant