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LASSP -  Laboratory of Atomic and Solid State Physics

Cornell Laboratory for Atomic and Solid State Physics

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Eun-Ah Kim's Machine Learning and Understanding Quantum Emergence in Nature

Eun-Ah Kim's research using machine learning to find meaningful patterns in quantumn matter experimental data was recognized in Nature's News.


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Tomas Arias and Itai Cohen Predict Behavior of Crowds

Tomas Arias, professor of physics, is corresponding author of “Density-Functional Fluctuation Theory of Crowds,” which published Aug. 30 in Nature Communications. Co-authors include Itai Cohen, professor of physics; lead authors Yunus A. Kinkhabwala, a doctoral student in the field of engineering, and J. Felipe Méndez-Valderrama, a doctoral student in the field of physics; and Jeffrey Silver, senior analyst at Metron Inc.


Interactions among individuals in a crowd can be complex and difficult to quantify mathematically; the large number of actors in a crowd results in a complex mathematical problem. The researchers sought to predict the behavior of crowds by using simple measurements of density to infer underlying interactions and to use those interactions to predict new behaviors.

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Veit Elser, Sol Gruner, and David Muller Claim Guinness World Record

Sol Gruner, former director of the Cornell High Energy Synchrotron Source, said he’d always dreamed of making the Guinness grade, but didn’t figure microscopy would be his ticket to fame.

“I always thought that I’d need to eat 40 hamburgers in five minutes or stand on one foot for days to get into the Guinness book,” he said. “Who would have thought that seeing a few atoms would do the trick?”

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Position-averaged diffraction pattern of the 4D dataset from monolayer MoS2

Eun-Ah Kim's Group High Precision Work Fetaured in physicsworld

Physicsworld recently published a research update which featured the work done by Eun-Ah Kim's group on understanding the many body localization phases that can arise in quantum systems.

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Jie Shan and Kin Fai Mak Share Their History about Sharing Their Lab

Jie Shan, professor of applied and engineering physics in the College of Engineering, and Kin Fai Mak, assistant professor of physics in the College of Arts and Sciences, are experts on atomically thin materials, particularly their optical and electronic properties. They also are married and were recruited to Cornell in late 2017 from Penn State through the provost’s Nanoscale Science and Molecular Engineering (NEXT Nano) initiative. They moved their shared lab and joint research group to Ithaca and have been up and running in the Physical Sciences Building since January.


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Shan Mak Group

Brad Ramshaw recognized with National Science Foundation Faculty Early Career Development Program award

Twelve assistant professors from Cornell’s Ithaca and New York City campuses have been recognized with National Science Foundation (NSF) Faculty Early Career Development Program awards, given annually to support junior faculty members’ research projects and outreach efforts.

All awards are for five years and approximately $500,000 (minimum), and all projects have an outreach component, generally involving K-12 students and people from underrepresented communities.


This year’s winners include: Steven Adie, biomedical engineering; Yoav Artzi, computer science at Cornell Tech; Cristian Danescu-Niculescu-Mizil, information science; Nicola Dell, information science at Cornell Tech; Brett Fors, chemistry and chemical biology; Damian Helbling, civil and environmental engineering; Song Lin, chemistry and chemical biology; Matthew Paszek, chemical and biomolecular engineering; Jamol Pender, operations research and information engineering; Brad Ramshaw, physics; Karthik Sridharan, computer science; and Fei Wang, from the Department of Healthcare Policy and Research at Weill Cornell Medicine.

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Brad Ramshaw