scispace - formally typeset
Search or ask a question
Author

Aditi Datta

Bio: Aditi Datta is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Stacking fault & Density functional theory. The author has an hindex of 7, co-authored 11 publications receiving 239 citations. Previous affiliations of Aditi Datta include Indian Institute of Technology Kanpur & Indian Institute of Science.

Papers
More filters
Journal ArticleDOI
TL;DR: In this article, the authors used first-principles density functional theory total energy calculations based on pseudo-potentials and plane-ave basis to assess stability of the periodic structures with different stacking sequences in Mg-Zn-Y alloys.

138 citations

Journal ArticleDOI
TL;DR: The energies of stacking and twinning faults in nanofilms of Ni with 7, 13 and 19-layers of (1.1) planes were determined using first-principles density functional theory total energy calculations as mentioned in this paper.

32 citations

Journal ArticleDOI
TL;DR: In this article, the authors use first-principles density functional theory total energy calculations based on pseudopotential and plane-wave basis to examine the energetics of the periodic structures with different stacking sequences in Mg-Zn-Y alloys.

28 citations

Journal ArticleDOI
TL;DR: In this paper, the free surface effects on stacking fault and twin formation in fcc metals (Al, Cu, and Ni) were examined by first-principles calculations based on density functional theory.

21 citations

Journal ArticleDOI
TL;DR: It is found that functionalization is preferred over reconstruction at the (100) surface and promotes graphitization in the (111) surface for NDs functionalized with the carbonyl oxygen (C = O) group.
Abstract: The goal of this work is to gain fundamental understanding of the surface and internal structure of functionalized detonation nanodiamonds (NDs) using quantum mechanics based density functional theory (DFT) calculations. The unique structure of ND assists in the binding of different functional groups to its surface which in turn facilitates binding with drug molecules. The ability to comprehensively model the surface properties, as well as drug‐ND interactions during functionalization, is a challenge and is the problem of our interest. First, the structure of NDs of technologically relevant size (∼5 nm) was optimized using classical mechanics based molecular mechanics simulations. Quantum mechanics based density functional theory (DFT) was then employed to analyse the properties of smaller relevant parts of the optimized cluster further to address the effect of functionalization on the stability of the cluster and reactivity at its surface. It is found that functionalization is preferred over reconstruction at the (100) surface and promotes graphitization in the (111) surface for NDs functionalized with the carbonyl oxygen (C=O) group. It is also seen that the edges of ND are the preferred sites for functionalization with the carboxyl group (‐COOH) vis-` a-vis the corners of ND.

18 citations


Cited by
More filters
01 May 1993
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

29,323 citations

Journal ArticleDOI
TL;DR: In this paper, the deformation behavior and corresponding microstructure evolution of a Mg97Zn1Y2 (at.%) alloy with a long period stacking ordered (LPSO) structure subjected to hot compression were investigated.

552 citations

Journal ArticleDOI
TL;DR: In this paper, structural models of the unique long period stacking/order (LPSO) phases formed in Mg-Zn-RE alloys, based on Z-contrast scanning transmission electron microscopy observations and first principles calculations, were proposed.

338 citations

Journal ArticleDOI
TL;DR: In this article, the stacking fault energy (SFE) for a series of face-centered cubic (fcc ) equiatomic concentrated solid solution alloys (CSAs) derived as subsystems from the NiCoFeCrMn and NiCo FeCrPd high entropy alloys based on ab initio calculations was reported.

309 citations

01 Jan 2003
TL;DR: In this article, the physics of electron and phonon states in crystals and how they determine the structure and properties of the solid have been discussed using density functional theory as a starting point and covers electronic and optical phenomena, magnetism and superconductivity.
Abstract: This text is a modern treatment of the theory of solids. The core of the book deals with the physics of electron and phonon states in crystals and how they determine the structure and properties of the solid. The discussion uses density functional theory as a starting point and covers electronic and optical phenomena, magnetism and superconductivity. There is also an extensive treatment of defects in solids, including point defects, dislocations, surfaces and interfaces. A number of modern topics where the theory of solids applies are also explored, including quasicrystals, amorphous solids, polymers, metal and semiconductor clusters, carbon nanotubes and biological macromolecules. Numerous examples are presented in detail and each chapter is accompanied by problems and suggested further readings. An extensive set of appendices provides all the necessary background for deriving all the results discussed in the main body of the text.

306 citations