Category: Publishing
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Andrew Rappe’s Work in Improving Lithium Batteries
PICS professor Andrew Rappe and Rappe’s research group, alongside researchers from the Max Planck Institue and the University of Cambridge have recently released a paper that, according to Penn Today, […]
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“The Physical Effects of Learning”: New Paper Published
On June 22nd, 2023, the paper titled “The Physical Effects of Learning” was published by PICS PhD student Menachem Stern, PICS faculty Andrea Liu, and PICS affiliated faculty Vijay Balasubramanian. […]
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Lu Lu and Paris Perdikaris Publish a New Paper
The paper entitled “PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems” by Shunyuan Mao, Ruobing Dong, Lu Lu, Kwang Moo Yi, Sifan Wang, and Paris […]
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The Bassani Group has published a new paper: “Finite deformation near a crack tip terminated at an interface between two neo-Hookean sheets”
This work was published in the Journal of the Mechanics and Physics of Solids. Abstract A crack terminating at an arbitrary angle to the interface between two neo-Hookean sheets is […]
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The Bassani Group has a paper out in the Journal of the Mechanics and Physics of Solids: “Exploiting interface patterning for adhesion control.”
The Bassani Group has a paper out in the Journal of the Mechanics and Physics of Solids Abstract Surface force-mediated adhesion, e.g. via van der Waals forces, is critical for […]
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“Relationships between structure, memory and flow in sheared disordered materials”
Members of the Reina Group, The Jerolmack Group, and the Arratia Group have worked together on a new paper in Nature Physics. Abstract:A fundamental challenge regarding disordered solids is predicting […]
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Synthetic Antibiotic Derived from Sequences Encrypted in a Protein from Human Plasma
Presidential Assistant Professor Cesar de la Fuente, has a new paper out in ACS Nano. Abstract: Encrypted peptides have been recently found in the human proteome and represent a potential class […]
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“Quantifying the compressibility of complex networks”
Danielle Basset has a new paper out in PNAS! Abstract Many complex networks depend upon biological entities for their preservation. Such entities, from human cognition to evolution, must first encode […]
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“Fracture of model end-linked networks”
The Riggleman Group has published a new study in PNAS! Abstract Advances in polymer chemistry over the last decade have enabled the synthesis of molecularly precise polymer networks that exhibit […]
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Learning Operators with Coupled Attention
The Perdikaris Group has a new paper available at arxiv.org/abs/2201.01032 Abstract: Supervised operator learning is an emerging machine learning paradigm with applications to modeling the evolution of spatio-temporal dynamical systems […]