• Dr. Monica Allen (physics, UCSD) is seeking two postdoctoral fellows to lead a new microwave impedance microscopy effort that would image quantum devices at temperatures down to 10 mK. Topics of interest include 2D materials, topological states of matter, and imaging of Majorana modes in devices.Read More

    Deadline: Tuesday, March 31, 2020
  • Microsoft is looking for exceptional candidates for 12-week internships in engineering tasks such as tools development and programming. Positions are available beginning in spring/summer/fall of 2020. Read more and apply here.

    During the 12-week internship, students are paired with mentors and expected to collaborate with other interns and researchers, present findings, and... Read More

    Deadline: Friday, January 31, 2020

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Recent News

QM simulations to identify improved photovoltaic materials

  • By Jenny Stein
  • 15 January 2020

Noa Marom leads a Carnegie Mellon University team in an Argonne Early Science Project with plans to use Aurora, Argonne's exascale supercomputer, to find materials that can increase the efficiency of solar cells. They use machine learning tools extensively in their research and are working with the developers of BerkeleyGW, SISSO, and Dragonfly software to prepare to run on the Aurora system.

According to Marom, “The goal of our research is to find new materials that make photovoltaic solar cells more efficient. The quest for any new materials that can enable new technologies is challenging. The materials we are researching have unique properties that make them suitable for use in solar cells, and these properties are very rare and difficult to find out of the wide array of possible materials. We are trying to accelerate the process of material discovery through computer simulation on high-performance computers (HPC) using sophisticated quantum-mechanical simulation software and machine learning (ML) tools. We are excited that our project has been accepted as one of the projects that will run on the future Aurora supercomputer as part of the Argonne ESP program. Our multi-institution team is currently modifying algorithms and workflows so they will be able to run on Aurora.”

Sangyeop Lee receives $500k NSF Career Award

  • By Jenny Stein
  • 18 December 2019

Sangyeop Lee, PhD, assistant professor of mechanical engineering and materials science, received a $500,000 CAREER Award from the National Science Foundation (NSF) for research that would utilize machine learning to model thermal transport in polycrystalline materials. The research seeks to create a computer model that can predict the conductive properties of a material in real life, providing guidance to engineer defects for desired thermal properties.

Congratulations Dr. Lee!

Programmable electro-optical devices

  • By Jenny Stein
  • 16 December 2019

Dr. Nathan Youngblood recently co-authored an exciting paper in Science Advances with his postdoctoral advisor, Dr. Harish Bhaskaran, at the University of Oxford. The following article was provided by the University of Oxford:

The first ever integrated nanoscale device which can be programmed with either photons or electrons has been developed by scientists in Harish Bhaskaran’s Advanced Nanoscale Engineering research group at the University of Oxford. In collaboration with researchers at the universities of Münster and Exeter, scientists have created a first-of-a-kind electro-optical device which bridges the fields of optical and electronic computing. This provides an elegant solution to achieving faster and more energy efficient memories and processors.