Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Tim Hsu"'
Autor:
Tim Hsu, Babak Sadigh, Nicolas Bertin, Cheol Woo Park, James Chapman, Vasily Bulatov, Fei Zhou
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract We propose an effective method for removing thermal vibrations that complicate the task of analyzing complex dynamics in atomistic simulation of condensed matter. Our method iteratively subtracts thermal noises or perturbations in atomic pos
Externí odkaz:
https://doaj.org/article/5759e4ad4ec64c5d99f0e23543d376c8
Autor:
Zahra Aghababaie, Tim Hsu-Han Wang, Linley A. Nisbet, Ashton Matthee, Jarrah Dowrick, Gregory B. Sands, Niranchan Paskaranandavadivel, Leo K. Cheng, Gregory O’Grady, Timothy R. Angeli-Gordon
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract Gastric motility is coordinated by bioelectrical slow-wave activity, and abnormal electrical dysrhythmias have been associated with nausea and vomiting. Studies have often been conducted under general anaesthesia, while the impact of general
Externí odkaz:
https://doaj.org/article/42182a9454394325bb7a7a4b16a7ac66
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Quantifying the level of atomic disorder within materials is critical to understanding how evolving local structural environments dictate performance and durability. Here, we leverage graph neural networks to define a physically interpretabl
Externí odkaz:
https://doaj.org/article/9c54cedebccd42f894653056a2ceb551
Autor:
Hyuna Kwon, Tim Hsu, Wenyu Sun, Wonseok Jeong, Fikret Aydin, James Chapman, Xiao Chen, Vincenzo Lordi, Matthew R Carbone, Deyu Lu, Fei Zhou, Tuan Anh Pham
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 4, p 045037 (2024)
Spectroscopy techniques such as x-ray absorption near edge structure (XANES) provide valuable insights into the atomic structures of materials, yet the inverse prediction of precise structures from spectroscopic data remains a formidable challenge. I
Externí odkaz:
https://doaj.org/article/734194c33216412ba1ef82b89ab68291
Autor:
Tim Hsu, Tuan Anh Pham, Nathan Keilbart, Stephen Weitzner, James Chapman, Penghao Xiao, S. Roger Qiu, Xiao Chen, Brandon C. Wood
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-9 (2022)
Abstract Graph neural networks are attractive for learning properties of atomic structures thanks to their intuitive graph encoding of atoms and bonds. However, conventional encoding does not include angular information, which is critical for describ
Externí odkaz:
https://doaj.org/article/4962e5f54b884132b147d4451931cf04
Autor:
Tae Wook Heo, Andrew Grieder, Bo Wang, Marissa Wood, Tim Hsu, Sneha A. Akhade, Liwen F. Wan, Long-Qing Chen, Nicole Adelstein, Brandon C. Wood
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-15 (2021)
Abstract Although multiple oxide-based solid electrolyte materials with intrinsically high ionic conductivities have emerged, practical processing and synthesis routes introduce grain boundaries and other interfaces that can perturb primary conductio
Externí odkaz:
https://doaj.org/article/510a7b011f434f1a8b34544a274bc29a
Autor:
Tim Hsu‐Han Wang, Timothy R. Angeli, Shunichi Ishida, Peng Du, Armen Gharibans, Niranchan Paskaranandavadivel, Yohsuke Imai, Taimei Miyagawa, Thomas L. Abell, Gianrico Farrugia, Leo K. Cheng, Gregory O’Grady
Publikováno v:
Physiological Reports, Vol 8, Iss 24, Pp n/a-n/a (2021)
Abstract Loss of interstitial cells of Cajal (ICC) has been associated with gastric dysfunction and is also observed during normal aging at ~13% reduction per decade. The impact of ICC loss on gastric slow wave conduction velocity is currently undefi
Externí odkaz:
https://doaj.org/article/2a804f5fc4ff49b39611926cdcaf1f4b
Autor:
Tim Hsu, Rubayyat Mahbub, Jerry H. Mason, William K. Epting, Harry W. Abernathy, Gregory A. Hackett, Anthony D. Rollett, Shawn Litster, Paul A. Salvador
Publikováno v:
MethodsX, Vol 7, Iss , Pp 100822- (2020)
Electrochemical energy devices, such as batteries and fuel cells, contain active electrode components that have highly porous, multiphase microstructures for improved performance. Predictive electrochemical models of solid oxide fuel cell (SOFC) elec
Externí odkaz:
https://doaj.org/article/de41583f15894995a1c79581b0e25856
Akademický článek
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Autor:
Aghababaie, Zahra1 (AUTHOR), Wang, Tim Hsu-Han2 (AUTHOR), Nisbet, Linley A.1 (AUTHOR), Matthee, Ashton1 (AUTHOR), Dowrick, Jarrah1 (AUTHOR), Sands, Gregory B.1 (AUTHOR), Paskaranandavadivel, Niranchan1 (AUTHOR), Cheng, Leo K.1 (AUTHOR), O'Grady, Gregory1,2 (AUTHOR), Angeli-Gordon, Timothy R.1,2 (AUTHOR) t.angeli@auckland.ac.nz
Publikováno v:
Scientific Reports. 7/21/2023, Vol. 13 Issue 1, p1-8. 8p.