John Serafini studies integrated photonics for developing secure quantum communications hardware. In this role, John simulates, designs and tests quantum-based photonic integrated circuits.
Vicente Leyton Ortega studies the potential of near-term quantum computing hardware for scientific applications, the performance of quantum and classical algorithms including optimization and machine learning
Joseph Lukens studies experimental and theoretical quantum information with an emphasis on photonic quantum systems compatible with fiber-optic communications.
Ryan Bennink leads the Quantum Computational Science Group in the Quantum Information Science Section.
A new paper published in Nature Communications adds further evidence to the bradykinin storm theory of COVID-19’s viral pathogenesis — a theory that was posited two years ago by a team of researchers at the Department of Energy’s Oak Ridge Nati
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
Researchers at Oak Ridge National Laboratory are using state-of-the-art methods to shed light on chemical separations needed to recover rare-earth elements and secure critical materials for clean energy technologies.