Johns Hopkins University Data Science and AI Institute Postdoctoral Fellowship - Johns Hopkins University Data Science and AI Institute - Baltimore, MD
Baltimore, MD, United States
Communications of the ACM
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Documentation Academy Aims to Empower Open Source Newcomers
Canonical's Open Documentation Academy aims to help newcomers participate in the open source community, offering mentorship and…
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Scientists Use Machine Learning to Accelerate Materials Discovery
Scientists at Argonne National Laboratory have demonstrated an automated process for identifying and exploring promising new materials by combining machine learning...
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Opening the Gate to the Next Generation of Information Processing
Scientists at Argonne National Laboratory and the University of Chicago have successfully demonstrated a series of benchmark coherent gate operations in hybrid...
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Pivotal Discovery in Quantum and Classical Information Processing
Working with theorists in the University of Chicago's Pritzker School of Molecular Engineering, researchers at Argonne National Laboratory demonstrated a novel...
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Scientists Use Reinforcement Learning to Train Quantum Algorithm
Scientists at Argonne National Laboratory have developed an algorithm based on reinforcement learning to find optimal parameters for the Quantum Approximate Optimization...
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Theory Confirmation Leads to Breakthrough in Superconductor Science
A Harvard/Argonne team has cleared up a decades-old mystery about the reverse Hall effect in high-temperature superconductors.
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Argonne Researchers Develop Method to Reduce Quantum Noise
Researchers at Argonne National Laboratory have developed a new method for alleviating the effects of "noise" in quantum information systems, which has implications...
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Scientists Move Quantum Optic Networks a Step Closer to Reality
A team of researchers has successfully measured how nanoplatelets interact with light in three dimensions, an advancement that could enhance the operation of quantum...
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The Flat and the Curious
Computer simulations are helping researchers overcome the challenge of working with 2-D materials in order to accurately characterize material structures and functions...
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Forget About It
Inspired by human forgetfulness — how brains discard unnecessary data to make room for new information — scientists conducted a study that combined supercomputer...
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High-Precision Calculations Help Reveal the Physics of the niverse
Argonne researchers have developed a new theoretical approach, suited for high-performance computing systems, capable of making predictive calculations about particle...
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Flexible Ferroelectrics Bring Two Material Worlds Together
Scientists at Argonne National Laboratory and Northwestern University have pioneered a new class of materials with advanced functionalities that moves the idea...
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Electrons 'puddle' nder High Magnetic Fields, Study Reveals
In a new study from the U.S. Department of Energy's Argonne National Laboratory, researchers used extremely high magnetic fields — equivalent to those found in...
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One Direction: Researchers Grow Nanocircuitry with Semiconducting Graphene Nanoribbons
In a development that could revolutionize electronic ciruitry, a research team has confirmed a new way to control the growth paths of graphene nanoribbons on the...
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Team Observes Mott Transition in a Superconductor
An international team of researchers announced the observation of a dynamic Mott transition in a superconductor, a discovery that experimentally connects the worlds...
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Simulations Lead to Design of Near-Frictionless Material
Argonne scientists used the Mira supercomputer to identify and improve a new mechanism for eliminating friction, which fed into the development of a hybrid material...
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New Technique Grows Tiny 'Hairy' Materials at the Microscale
Materials scientists at the Argonne National Laboratory have announced a technique for growing tiny "hairy" materials that assemble themselves at the microscale...
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Researchers Discover New Class of Battery Materials
Researchers have discovered a new class of battery electrode materials that will be essential to attaining safe and efficient lithium and sodium rechargeable...
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