By combining cutting-edge concepts from theoretical physics, researchers from Penn Engineering developed “sypersymmetric microlaser arrays” that are both stable and have high power density.
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Looking towards the future through an interdisciplinary lens
Senior Yasmina Al Ghadban was able to connect her undergraduate education in bioengineering and psychology with her passion for public health through teaching, research, and extracurricular activities.
Six from Penn elected to American Academy of Arts & Sciences
Faculty from the School of Arts & Sciences, the School of Engineering and Applied Science, and the Perelman School of Medicine are honored for their efforts to help solve some of the world’s most urgent challenges.
The immune link between a leaky blood-brain barrier and schizophrenia
Research from the School of Veterinary Medicine, Perelman School of Medicine, and Children’s Hospital of Philadelphia points to the involvement of the immune system the brain as a contributor to mental disorders such as schizophrenia.
Penn group wins EPA Campus RainWorks Challenge
The student-led project will reimagine the campus of West Philadelphia’s Andrew Hamilton School, including vegetable gardens, a food forest, and other green stormwater-management tools.
Insights into new ‘dials’ for controlling a material’s magnetism
New research demonstrates how small amounts of strain can be used to control a material’s properties, with possible applications ranging from spintronic devices to faster hard drives.
With impressive accuracy, dogs can sniff out coronavirus
In a proof-of-concept study led by the School of Veterinary Medicine, dogs identified positive samples with 96% accuracy.
From ‘Indiana Jones’ to medieval robots
Historian of science Elly Truitt’s multidisciplinary investigations of the Middle Ages challenge assumptions about the period as a dark time in innovation and prompt a rethink of notions of ‘modern’ science.
Beyond topological insulators
Charlie Kane and Eugene Mele’s groundbreaking theories on the existence of a new class of materials continues to inspire an upcoming generation of physics researchers.
27 million galaxy morphologies quantified and cataloged with the help of machine learning
Using data from the Dark Energy Survey, researchers from the Department of Physics & Astronomy produced the largest catalog of galaxy morphology classifications to date.
