Zobrazeno 1 - 10
of 1 054
pro vyhledávání: '"Ramprasad, R."'
Publikováno v:
Nature Communications 10, 2339 (2019)
Large-scale atomistic computer simulations of materials heavily rely on interatomic potentials predicting the potential energy and Newtonian forces on atoms. Traditional interatomic potentials are based on physical intuition but contain few adjustabl
Externí odkaz:
http://arxiv.org/abs/1808.01696
Using density functional theory (DFT) based first principles calculations, we show that the preferred interfacial plane orientation relationship is determined by the strength of bonding at the interface. The thermodynamic stability, and the ideal ten
Externí odkaz:
http://arxiv.org/abs/1606.08555
Publikováno v:
Appl. Phys. Lett. 107, 012901 (2015)
Structural and magnetic properties of the doped terbium manganites (Tb,A)MnO3 (A = Gd, Dy and Ho) have been investigated using first-principles calculations and further confirmed by subse- quent experimental studies. Both computational and experiment
Externí odkaz:
http://arxiv.org/abs/1505.07182
Publikováno v:
In Computational Materials Science March 2020 174
Publikováno v:
In Computational Materials Science 15 February 2019 158:353-358
We present an approach to calculate total energies of nanoclusters based on first principles estimates. For very large clusters the total energy can be separated into surface, edge and corner energies, in addition to bulk contributions. Using this se
Externí odkaz:
http://arxiv.org/abs/0801.0435
Publikováno v:
Journal of Chemical Physics; 6/7/2022, Vol. 156 Issue 21, p1-7, 7p
Autor:
Srivastava, Vikas, Nakra, Monish, K., Anand Shankar, Dhull, Pawan, Ramprasad, R., Lamba, N.S.
Publikováno v:
In Medical Journal Armed Forces India July 2018 74(3):213-216
Mining with Improved Deep Auto-Encoder for Medical Data Record Analysis Using Feature Representation
Autor:
Ramprasad, R., Jayakumari, C.
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 6s (2023): (Articles in Press); 96-106
Data mining is the finest technique for extracting knowledge from patient routes. Medical occurrences are intricately organized in event logs and frequently documented using several medical codes. Before applying process mining analysis, labeling the
Publikováno v:
2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS).