P. Singh
Bhabha Atomic Research Centre
21 Papers
83 Citations
P. Singh is an academic researcher from Bhabha Atomic Research Centre. The author has contributed to research in topics: Beam (structure) & Entropy of mixing. The author has an hindex of 6, co-authored 20 publications. Previous affiliations of P. Singh include Panjab University, Chandigarh.
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Papers
The heavy-ion nuclear potential: determination of a systematic behavior at the region of surface interaction distances
C. P. Silva,M. A. G. Alvarez,Luiz Carlos Chamon,Dirceu Pereira,M.N. Rao,E. S. Rossi,Leandro Gasques,M. A. E. Santo,Roberto Meigikos dos Anjos,J. Lubian,P. R. S. Gomes,C. Muri,B. V. Carlson,S. Kailas,A. Chatterjee,P. Singh,A. Shrivastava,K. Mahata,S. Santra +18 more
TL;DR: In this article, precise elastic scattering differential cross sections have been measured for the 16 O + 120 Sn, 138 Ba, 208 Pb systems at sub-barrier energies at interaction distances larger than the Coulomb barrier radii.
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Precise nuclear matter densities from heavy-ion collisions
M. A. G. Alvarez,E. S. Rossi,C. P. Silva,Leandro Gasques,Luiz Carlos Chamon,Daniel Pereira,M. N. Rao,B. V. Carlson,C. de Conti,Roberto Meigikos dos Anjos,P. R. S. Gomes,J. Lubian,S. Kailas,A. Chatterjee,P. Singh +14 more
TL;DR: In this paper, an unfolding method is proposed to extract ground-state nuclear matter densities from heavy-ion elastic scattering data analyses at low (sub-barrier) and intermediate energies.
Search for axions in thermal neutron capture by protons
TL;DR: In this article, a search for axions at a 500 MW light water power reactor was performed, and from the measured upper limit on the n + p → d + a cross section the standard axion was ruled out.
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Excited atomic state of Li
TL;DR: In this article, an optical transition of 3489 A has been shown to arise from Li using beam foil spectroscopic technique and the mean life of the state emitting this radiation has been measured to be 2.23 a 0.08 n sec.
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High throughput exploration of the oxidation landscape in high entropy alloys.
D. Sauceda,P. Singh,Gaoyuan Ouyang,Olena Palasyuk,Matthew J. Kramer,Raymundo Arroyave +5 more
TL;DR: In this article , a high-throughput framework that utilizes density-functional theory (DFT) in concert with a combined machine-learning model and grand-canonical linear programming for assessing phase stability, phase fraction, chemical activity and high-temperature survivability of arbitrary high entropy alloys was presented.
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