Výsledky vyhledávání - "Douglas J. Durian"

Akademický článek

Bellybutton: accessible and customizable deep-learning image segmentation

Autor: Sam Dillavou, Jesse M. Hanlan, Anthony T. Chieco, Hongyi Xiao, Sage Fulco, Kevin T. Turner, Douglas J. Durian

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)

Abstract The conversion of raw images into quantifiable data can be a major hurdle and time-sink in experimental research, and typically involves identifying region(s) of interest, a process known as segmentation. Machine learning tools for image seg

Externí odkaz: https://doaj.org/article/3b9c2c6fd7394f209f4d8a41b35e2b51

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Akademický článek

Training self-learning circuits for power-efficient solutions

Autor: Menachem Stern, Sam Dillavou, Dinesh Jayaraman, Douglas J. Durian, Andrea J. Liu

Publikováno v: APL Machine Learning, Vol 2, Iss 1, Pp 016114-016114-16 (2024)

As the size and ubiquity of artificial intelligence and computational machine learning models grow, the energy required to train and use them is rapidly becoming economically and environmentally unsustainable. Recent laboratory prototypes of self-lea

Externí odkaz: https://doaj.org/article/066f6c10190a4390bef81dfc1b17dd47

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Akademický článek

Physical learning beyond the quasistatic limit

Autor: Menachem Stern, Sam Dillavou, Marc Z. Miskin, Douglas J. Durian, Andrea J. Liu

Publikováno v: Physical Review Research, Vol 4, Iss 2, p L022037 (2022)

Physical networks, such as biological neural networks, can learn desired functions without a central processor, using local learning rules in space and time to learn in a fully distributed manner. Learning approaches such as equilibrium propagation,

Externí odkaz: https://doaj.org/article/6d46f17e6a1c4ecb9f57414415888302

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Akademický článek

Structuro-elasto-plasticity model for large deformation of disordered solids

Autor: Ge Zhang, Hongyi Xiao, Entao Yang, Robert J. S. Ivancic, Sean A. Ridout, Robert A. Riggleman, Douglas J. Durian, Andrea J. Liu

Publikováno v: Physical Review Research, Vol 4, Iss 4, p 043026 (2022)

Elastoplastic lattice models for the response of solids to large-scale deformation typically incorporate structure only implicitly via a local yield strain that is assigned to each site. However, the local yield strain can change in response to a nea

Externí odkaz: https://doaj.org/article/0b85cbcf7572458eb35531be3dc21ad8

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Akademický článek

The sands of time run faster near the end

Autor: Juha Koivisto, Douglas J. Durian

Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-6 (2017)

Hourglasses measure time because the discharge rate of dry sand is constant. Here Koivistoet al. show that when such a system contains water there is a surge in discharge because the fluid drains faster than the grains, which might help us understand

Externí odkaz: https://doaj.org/article/61822a5e4fc1409d88a7ff8c59ab4b03

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Circuits that train themselves: decentralized, physics-driven learning

Autor: Sam Dillavou, Benjamin Beyer, Menachem Stern, Marc Z. Miskin, Andrea J. Liu, Douglas J. Durian

Publikováno v: AI and Optical Data Sciences IV.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::727ad95a815738b790083102e6e094f4
https://doi.org/10.1117/12.2648618

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Average outpouring velocity and flow rate of grains discharged from a tilted quasi-2D silo

Autor: Ryan Kozlowski, J. Carter Luketich, Elijah Oshatz, Douglas J. Durian, Luis A. Pugnaloni

Publikováno v: Granular Matter. 25

The flow of granular materials through constricted openings is important in many natural and industrial processes. These complex flows - featuring dense, dissipative flow in the bulk but low-dissipation, low density outpouring in the vicinity of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b12a6fc6f009c971546fd8e79f994dc
https://doi.org/10.1007/s10035-023-01310-5

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Twist and Measure: Characterizing the Effective Radius of Strings and Bundles under Twisting Contraction

Autor: Jesse M. Hanlan, Gabrielle E. Davis, Douglas J. Durian

We test the standard model for the length contraction of a bundle of strings under twist, and find deviation that is significantly greater than typically appreciated and that has a different nature at medium and large twist angles. By including volum

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e9f3786f9a960fc2ecdcae90a0d97c2
http://arxiv.org/abs/2301.07077