Zobrazeno 1 - 10
of 584
pro vyhledávání: '"Prasanth B"'
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-10 (2022)
Abstract We present a method to model interatomic interactions such as energy and forces in a computationally efficient way. The proposed model approximates the energy/forces using a linear combination of random features, thereby enabling fast parame
Externí odkaz:
https://doaj.org/article/4e45f160cd29483b9498621cd8bbea20
Publikováno v:
Frontiers in Forests and Global Change, Vol 3 (2020)
The fate of phosphorus (P) in the eco-system is strongly affected by the interaction of phosphates with soil components and especially reactive soil mineral surfaces. As a consequence, P immobilization occurs which eventually leads to P inefficiency
Externí odkaz:
https://doaj.org/article/fa4b40c49cfc4311bbd7391feefc5ccb
Autor:
Course, Kevin, Nair, Prasanth B.
We consider the problem of inferring latent stochastic differential equations (SDEs) with a time and memory cost that scales independently with the amount of data, the total length of the time series, and the stiffness of the approximate differential
Externí odkaz:
http://arxiv.org/abs/2312.10550
Publikováno v:
Molecules, Vol 26, Iss 1, p 160 (2020)
Today’s fertilizers rely heavily on mining phosphorus (P) rocks. These rocks are known to become exhausted in near future, and therefore effective P use is crucial to avoid food shortage. A substantial amount of P from fertilizers gets adsorbed ont
Externí odkaz:
https://doaj.org/article/f9922ef9d5bc4b14a8325039f2a2aa59
Computational modeling of high entropy alloys (HEA) is challenging given the scalability issues of Density functional theory (DFT) and the non-availability of Interatomic potentials (IP) for molecular dynamics simulations (MD). This work presents a c
Externí odkaz:
http://arxiv.org/abs/2302.06844
Bio-materials Used to Enhance Bone Healing in Implant Dentistry – A Review from the Past to Current.
Autor:
Prasanth, B Shri Krishna1 (AUTHOR) prasanthkrishnan849@gmail.com, Dhanasekaran, Akshaya Subhashinee1 (AUTHOR), Renuka, T1 (AUTHOR), Khan, Farhan2 (AUTHOR), Begum, Sajida Ali3 (AUTHOR), Srutheesri4 (AUTHOR), Karpagam, Nithya1 (AUTHOR), John, Rozar Raj B1 (AUTHOR)
Publikováno v:
Advances in Human Biology. Oct-Dec2024, Vol. 14 Issue 4, p290-295. 6p.
Autor:
GaneshKumar, Poongavanam, Vinothkumar, S., Prasanth, B. Mouli, Kumar, Kasinathan Suresh, Kim, Seong Cheol, Ramkumar, Vanaraj, Alodhayb, Abdullah N., Pandiaraj, Saravanan
Publikováno v:
In Journal of Energy Storage 15 October 2024 100 Part A
Publikováno v:
Advances in Neural Information Processing Systems. Vol. 33 (2020), pp. 18716-18726
We present a method for learning generalized Hamiltonian decompositions of ordinary differential equations given a set of noisy time series measurements. Our method simultaneously learns a continuous time model and a scalar energy function for a gene
Externí odkaz:
http://arxiv.org/abs/2104.05096
Autor:
Evans, Trefor W., Nair, Prasanth B.
We introduce a stochastic variational inference procedure for training scalable Gaussian process (GP) models whose per-iteration complexity is independent of both the number of training points, $n$, and the number basis functions used in the kernel a
Externí odkaz:
http://arxiv.org/abs/2006.03015
Autor:
Bhanumathy, S., Mouli Prasanth, B., Anitha, B., Mohanakanna, R., Nandhakumar, E., Hariharan, P.
Publikováno v:
In Materials Today: Proceedings