Results 141 to 150 of about 4,103 (254)

The Density Profile of a Neutron Star. [PDF]

Entropy (Basel)
Woodbury AD.
europepmc   +1 more source

Upgraded Giant Metrewave Radio Telescope timing of NGC 1851A: a possible millisecond pulsar - neutron star system. [PDF]

Mon Not R Astron Soc, 2019
Ridolfi A, Freire PCC, Gupta Y, Ransom SM.   +3 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Employing deep-learning techniques for the conservative-to-primitive recovery in binary neutron star simulations. [PDF]

Eur Phys J A Hadron Nucl
Mudimadugula R, Schianchi F, Neuweiler A, Wouters T, Gieg H, Dietrich T.   +5 more
europepmc   +1 more source

Electromagnetic Chirps from Neutron Star-Black Hole Mergers. [PDF]

Astrophys J, 2018
Schnittman JD, Dal Canton T, Camp J, Tsang D, Kelly BJ.   +4 more
europepmc   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

Advanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame, Henry Noyes, Eric Sihite, Arash Kalantari, Alireza Ramezani   +4 more
wiley   +1 more source

Real-time inference for binary neutron star mergers using machine learning. [PDF]

Nature
Dax M, Green SR, Gair J, Gupte N, Pürrer M, Raymond V, Wildberger J, Macke JH, Buonanno A, Schölkopf B.   +9 more
europepmc   +1 more source

GW170817, general relativistic magnetohydrodynamic simulations, and the neutron star maximum mass. [PDF]

Phys Rev D, 2018
Ruiz M, Shapiro SL, Tsokaros A.
europepmc   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Constraining the equation of state in neutron-star cores via the long-ringdown signal. [PDF]

Nat Commun
Ecker C, Gorda T, Kurkela A, Rezzolla L.
europepmc   +1 more source