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A collaboration of CNAM members including Ichiro Takeuchi (MSE), Efrain Rodriguez (Chemistry) and Johnpierre Paglione (Physics), together with researchers from NIST and Duke University,have been exploring methods of using artificial intelligence techniques to explore new compounds and search for new, practical superconducting materials by developing machine learning schemes to model the critical temperature (Tc) of over 12,000 known superconductors. Led by postdoctoral research Valentin Stanev, this project involved training a classification model based only on chemical compositions to categorize the known superconductors using a random forest model, and developing regression models to predict the values of Tc for compounds from the database of known materials. Including calculated first principles data from the AFLOW Online Repositories, classification and regression models were combined into a single-integrated pipeline to search the entire Inorganic Crystallographic Structure Database and predict more than 30 new candidate superconductors. This work is now published in NPJ Computational Materials.
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Four University of Maryland undergraduates have been awarded scholarships by the Barry Goldwater Scholarship and Excellence in Education Foundation, which encourages students to pursue advanced study and careers in the sciences, engineering and mathematics. Congratulations to Paul Neves—a junior physics major working on magnetic materials using neutron scattering and other experimental techniques in collaboration with the NIST Center for Neutron Research —who designed and built a new device to improve neutron scattering measurements by simultaneously measuring the bulk magnetic properties of a material under high pressure and at low temperature. Read more here.
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A collaboration between CNAM, CMTC and Ames National Lab researchers led by Prof. J. Paglione has reported experimental evidence of exotic high-spin superconductivity that arises from the unusual electronic structure of the topological semimetal YPtBi. While predicted to occur in other non-material systems, higher than spin-1/2 pairing has remained elusive until now. The team’s research, published in the April 6 issue of Science Advances, reveals effects that are profoundly different from anything that has been seen before with superconductivity.
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The Fundamentals of Quantum Materials Winter School is a unique school in North America dedicated specifically to the synthesis, characterization and electronic modeling of quantum materials. The focus is on techniques for material synthesis, taught by leaders in the field, through a mix of tutorials and practical demonstrations at the University of Maryland. Thanks to all of those that contributed to help make the 2018 School and Workshop a grand success! More information and media can be found at the School's web site
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PhD candidate Daniel Campbell has been selected to receive the U.S. Department of Energy (DOE) Office of Science Graduate Student Research (SCGSR) award for the proposed research project, “Ambient and Pressure-Grown TiSe2 under Extreme Conditions”. The SCGSR program prepares graduate students for science, technology, engineering, or mathematics (STEM) careers critically important to the DOE Office of Science mission, providing supplemental awards to outstanding U.S. graduate students to pursue part of their graduate thesis research at a DOE laboratory/facility in areas that address scientific challenges central to the Office of Science mission. The selection of Campbell for the SCGSR award is in recognition of outstanding academic accomplishments and the merit of the SCGSR research proposal, and reflects his potential to advance the Ph.D. studies and make important contributions to the mission of the DOE Office of Science. Campbell, one of only 52 award recipients from all disciplines of the DOE Office of Science, will conduct his research project at Lawrence Livermore National Laboratory in collaboration with Dr. Jason Jeffries, Staff Physicist and Group Leader for the High-Pressure Physics Group in the Physics Division. Congrats Daniel!!!