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Kieran A. Murphy
Kieran A. Murphy
University of Pennsylvania
Bestätigte E-Mail-Adresse bei seas.upenn.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Transforming mesoscale granular plasticity through particle shape
KA Murphy, KA Dahmen, HM Jaeger
Physical Review X 9 (1), 011014, 2019
792019
Implicit-pdf: Non-parametric representation of probability distributions on the rotation manifold
K Murphy, C Esteves, V Jampani, S Ramalingam, A Makadia
Proceedings of the 38th International Conference on Machine Learning 139 …, 2021
652021
Freestanding loadbearing structures with Z-shaped particles
KA Murphy, N Reiser, D Choksy, CE Singer, HM Jaeger
Granular Matter 18 (2), 26, 2016
532016
Memory in nonmonotonic stress relaxation of a granular system
KA Murphy, JW Kruppe, HM Jaeger
Physical Review Letters 124 (16), 168002, 2020
152020
Aleatory Construction Based on Jamming: Stability Through Self‐Confinement
K Murphy, L Roth, D Peterman, H Jaeger
Architectural Design 87 (4), 74-81, 2017
142017
The intertwined roles of particle shape and surface roughness in controlling the shear strength of a granular material
KA Murphy, AK MacKeith, LK Roth, HM Jaeger
Granular Matter 21 (3), 72, 2019
122019
Edges control clustering in levitated granular matter
MX Lim, KA Murphy, HM Jaeger
Granular Matter 21, 1-8, 2019
102019
The distributed information bottleneck reveals the explanatory structure of complex systems
KA Murphy, DS Bassett
arXiv preprint arXiv:2204.07576, 2022
82022
Tuning the mechanical impedance of disordered networks for impact mitigation
MA Reyes-Martinez, EP Chan, CL Soles, E Han, KA Murphy, HM Jaeger, ...
Soft Matter 18 (10), 2039-2045, 2022
42022
Interpretability with full complexity by constraining feature information
KA Murphy, DS Bassett
The Eleventh International Conference on Learning Representations, 2022
32022
Information decomposition in complex systems via machine learning
KA Murphy, DS Bassett
Proceedings of the National Academy of Sciences 121 (13), e2312988121, 2024
2*2024
Designed to fail: granular plasticity and particle shape
K Murphy, H Jaeger
22018
Machine-Learning Optimized Measurements of Chaotic Dynamical Systems via the Information Bottleneck
KA Murphy, DS Bassett
Physical Review Letters 132 (19), 197201, 2024
12024
Intrinsically motivated graph exploration using network theories of human curiosity
SP Patankar, M Ouellet, J Cervino, A Ribeiro, KA Murphy, DS Bassett
arXiv preprint arXiv:2307.04962, 2023
12023
The Information Bottleneck and the double pendulum: Using machine learning to study how chaos destroys information
K Murphy, D Bassett
APS March Meeting Abstracts 2023, K01. 007, 2023
12023
Architectured Particulate Materials
H Jaeger, K Murphy, L Roth
12018
Adaptive Granular Matter
KA Murphy, LK Roth, HM Jaeger
12017
Coloring a chaotic attractor with machine learning: Optimized measurements of chaotic dynamical systems via the information bottleneck
K Murphy, D Bassett
Bulletin of the American Physical Society, 2024
2024
Mechanical prions: Self-assembling microstructures
M Ouellet, DS Bassett, LC Bassett, KA Murphy, SP Patankar
arXiv preprint arXiv:2402.10939, 2024
2024
How machine learning and an information theory perspective can enrich research on complex systems
K Murphy, D Bassett
APS March Meeting Abstracts 2023, G00. 148, 2023
2023
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