scholarly journals DFTB Modeling of Lithium-Intercalated Graphite with Machine-Learned Repulsive Potential

2021 ◽  
Vol 125 (2) ◽  
pp. 691-699
Author(s):  
Chiara Panosetti ◽  
Simon B. Anniés ◽  
Cristina Grosu ◽  
Stefan Seidlmayer ◽  
Christoph Scheurer
2020 ◽  
Vol MA2020-02 (2) ◽  
pp. 198-198
Author(s):  
Chiara Panosetti ◽  
Simon Anniés ◽  
Cristina Grosu ◽  
Christoph Scheurer

1988 ◽  
Vol 49 (C8) ◽  
pp. C8-1437-C8-1438
Author(s):  
J. Rogerie ◽  
Ch. Simon ◽  
I. Rosenman ◽  
J. Schweizer ◽  
Ch. Vettier ◽  
...  

1986 ◽  
Author(s):  
M. S. Dresselhaus ◽  
G. Dresselhaus

2021 ◽  
Vol 13 (6) ◽  
pp. 3194
Author(s):  
Fang Zong ◽  
Meng Zeng ◽  
Yang Cao ◽  
Yixuan Liu

Path planning is one of the most important aspects for ambulance driving. A local dynamic path planning method based on the potential field theory is presented in this paper. The potential field model includes two components—repulsive potential and attractive potential. Repulsive potential includes road potential, lane potential and obstacle potential. Considering the driving distinction between an ambulance and a regular vehicle, especially in congested traffic, an adaptive potential function for a lane line is constructed in association with traffic conditions. The attractive potential is constructed with target potential, lane-velocity potential and tailgating potential. The design of lane-velocity potential is to characterize the influence of velocity on other lanes so as to prevent unnecessary lane-changing behavior for the sake of time-efficiency. The results obtained from simulation demonstrate that the proposed method yields a good performance for ambulance driving in an urban area, which can provide support for designing an ambulance support system for the ambulance personnel and dispatcher.


2017 ◽  
Vol 29 (47) ◽  
pp. 475101 ◽  
Author(s):  
Tetsuro Tsuji ◽  
Hirotaka Iseki ◽  
Itsuo Hanasaki ◽  
Satoyuki Kawano
Keyword(s):  

2016 ◽  
Vol 94 (4) ◽  
Author(s):  
Akihiro Ishibashi ◽  
Kengo Maeda ◽  
Takashi Okamura
Keyword(s):  

Nano Letters ◽  
2007 ◽  
Vol 7 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Agnieszka Kuc ◽  
Lyuben Zhechkov ◽  
Serguei Patchkovskii ◽  
Gotthard Seifert ◽  
Thomas Heine

1983 ◽  
Vol 27 (12) ◽  
pp. 7831-7834 ◽  
Author(s):  
K. C. Woo ◽  
Helen Mertwoy ◽  
J. E. Fischer ◽  
W. A. Kamitakahara ◽  
D. S. Robinson

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