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Quantum Information Scrambling in Molecules

Autor: Zhang, Chenghao, Wolynes, Peter G., Gruebele, Martin

Publikováno v: Phys. Rev. A 105, 033322 (2022)

Out-of-time-order correlators (OTOCs) can be used to probe how quickly a quantum system scrambles information when the initial conditions of the dynamics are changed. In sufficiently large quantum systems, one can extract from the OTOC the quantum an

Externí odkaz: http://arxiv.org/abs/2202.09949

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Akademický článek

A computational spatial whole-Cell model for hepatitis B viral infection and drug interactions

Autor: Zhaleh Ghaemi, Oluwadara Nafiu, Emad Tajkhorshid, Martin Gruebele, Jianming Hu

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)

Abstract Despite a vaccine, hepatitis B virus (HBV) remains a world-wide source of infections and deaths. We develop a whole-cell computational platform combining spatial and kinetic models describing the infection cycle of HBV in a hepatocyte host.

Externí odkaz: https://doaj.org/article/c78f362d17834b94b6129a12f3d38359

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Distributed Sensor Networks Deployed Using Soft Growing Robots

Autor: Gruebele, Alexander M., Zerbe, Andrew C., Coad, Margaret M., Okamura, Allison M., Cutkosky, Mark R.

Due to their ability to move without sliding relative to their environment, soft growing robots are attractive for deploying distributed sensor networks in confined spaces. Sensing of the state of such robots would also add to their capabilities as h

Externí odkaz: http://arxiv.org/abs/2012.07899

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Design and Control of Roller Grasper V2 for In-Hand Manipulation

Autor: Yuan, Shenli, Shao, Lin, Yako, Connor L., Gruebele, Alex, Salisbury, J. Kenneth

The ability to perform in-hand manipulation still remains an unsolved problem; having this capability would allow robots to perform sophisticated tasks requiring repositioning and reorienting of grasped objects. In this work, we present a novel non-a

Externí odkaz: http://arxiv.org/abs/2004.08499

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Akademický článek

Rapid automated 3-D pose estimation of larval zebrafish using a physical model-trained neural network.

Autor: Aniket Ravan, Ruopei Feng, Martin Gruebele, Yann R Chemla

Publikováno v: PLoS Computational Biology, Vol 19, Iss 10, p e1011566 (2023)

Quantitative ethology requires an accurate estimation of an organism's postural dynamics in three dimensions plus time. Technological progress over the last decade has made animal pose estimation in challenging scenarios possible with unprecedented d

Externí odkaz: https://doaj.org/article/e6abd2a3b56b4bcbbba69953e6e3c07f

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Critical phenomena in the temperature-pressure-crowding phase diagram of a protein

Autor: Gasic, Andrei G., Boob, Mayank M., Prigozhin, Maxim B., Homouz, Dirar, Daugherty, Caleb M., Gruebele, Martin, Cheung, Margaret S.

Publikováno v: Phys. Rev. X 9, 041035 (2019)

In the cell, proteins fold and perform complex functions through global structural rearrangements. Function requires a protein to be at the brink of stability to be susceptible to small environmental fluctuations, yet stable enough to maintain struct

Externí odkaz: http://arxiv.org/abs/1906.03660

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