scholarly journals Thermochemical Data for CVD Modeling from Ab initio Calculations

1993 ◽  
Vol 335 ◽  
Author(s):  
Pauline Ho ◽  
Carl F. Melius
Keyword(s):  
Electronic Structure ◽  
Ab Initio Calculations ◽  
Ab Initio ◽  
Gas Phase ◽  
Electronic Structure Calculations ◽  
Thermochemical Data ◽  
Thermochemical Properties ◽  
Gas Phase Molecules ◽  
Self Consistent ◽  
Structure Calculations

AbstractAb initio electronic-structure calculations are combined with empirical bond-additivity corrections to yield thermochemical properties of gas-phase molecules. A self-consistent set of heats of formation for molecules in the Si-H, Si-H-Cl, Si-H-F, Si-N-H and Si-NH- F systems is presented, along with preliminary values for some Si-O-C-H species.

An ab initio multireference study of reductive eliminations from organoferrates(iii) in the gas-phase: it is all about the spin state

2020 ◽  
Vol 22 (31) ◽  
pp. 17677-17686
Author(s):  
Abhishek Khedkar ◽  
Michael Roemelt
Keyword(s):  
Electronic Structure ◽  
Ab Initio ◽  
Gas Phase ◽  
Spin State ◽  
State Of The Art ◽  
Electronic Structure Calculations ◽  
Reductive Elimination ◽  
Elimination Reaction ◽  
Structure Calculations

The reductive elimination reaction from organoferrates(iii) of the composition [FeR3R′]− is studied by state-of-the-art multireference electronic structure calculations.

Electronic Structure Calculations on a Real-Space Mesh with Multigrid Acceleration

1995 ◽  
Vol 408 ◽  
Author(s):  
D. J. Sullivan ◽  
E. L. Briggs ◽  
C. J. Brabec ◽  
J. Bernholc
Keyword(s):  
Electronic Structure ◽  
Ab Initio ◽  
Large Scale ◽  
Electronic Structure Calculations ◽  
High Energy ◽  
Real Space ◽  
Parallel Architectures ◽  
Wurtzite Phase ◽  
Ongoing Work ◽  
Structure Calculations

AbstractWe have developed a set of techniques for performing large scale ab initio calculations using multigrid accelerations and a real-space grid as a basis. The multigrid methods permit efficient calculations on ill-conditioned systems with long length scales or high energy cutoffs. We discuss the design of pseudopotentials for real-space grids, and the computation of ionic forces. The technique has been applied to several systems, including an isolated C60 molecule, the wurtzite phase of GaN, a 64-atom cell of GaN with the Ga d-states in valence, and a 443-atom protein. The method has been implemented on both vector and parallel architectures. We also discuss ongoing work on O(N) implementations and solvated biomolecules.

Summary, Conclusions, and Future Trends

2012 ◽  
Author(s):  
Lionel Raff ◽  
Ranga Komanduri ◽  
Martin Hagan ◽  
Satish Bukkapatnam
Keyword(s):  
Electronic Structure ◽  
Complex Systems ◽  
Human Brain ◽  
Ab Initio ◽  
Large Scale ◽  
Dimensional Space ◽  
Electronic Structure Calculations ◽  
Potential Surfaces ◽  
The 1960S ◽  
Structure Calculations

Since the introduction of classical and semiclassical molecular dynamics (MD) methods in the 1960s and Gaussian procedures to conduct electronic structure calculations in the 1970s, a principal objective of theoretical chemistry has been to combine the two methods so that MD and quantum mechanical studies can be conducted on ab initio potential surfaces. Although numerous procedures have been attempted, the goal of first principles, ab initio dynamics calculations has proven to be elusive when the system contains five or more atoms moving in unrestricted three-dimensional space. For many years, the conventional wisdom has been that ab initio MD calculations for complex systems containing five or more atoms with several open reaction channels are presently beyond our computational capabilities. The rationale for this view are (a) the inherent difficulty of high level ab initio quantum calculations on complex systems that may take numerous, large-scale computations impossible, (b) the large dimensionality of the configuration space for such systems that makes it necessary to examine prohibitively large numbers of nuclear configurations, and (c) the extreme difficulty associated with obtaining sufficiently converged results to permit accurate interpolation of numerical data obtained from electronic structure calculations when the dimensionality of the system is nine or greater. Neural networks (NN) derive their name from the fact that their interlocking structure superficially resembles the neural network of a human brain and from the fact that NNs can sense the underlying correlations that exist in a database and properly map them in a manner analogous to the way a human brain can execute pattern recognition. Artificial neurons were first proposed in 1943 by Warren McCulloch, a neurophysiologist, and Walter Pitts, an MIT logician. NNs have been employed by engineers for decades to assist in the solution of a multitude of problems. Nevertheless, the power of NNs to assist in the solution of numerous problems that occur in chemical reaction dynamics is just now being realized by the chemistry community.

scholarly journals The 3s versus 3p Rydberg state photodissociation dynamics of the ethyl radical

2019 ◽  
Vol 21 (41) ◽  
pp. 23017-23025 ◽  
Author(s):  
Sonia Marggi Poullain ◽  
David V. Chicharro ◽  
Alexandre Zanchet ◽  
Luis Rubio-Lago ◽  
Alberto García-Vela ◽  
...  
Keyword(s):  
Electronic Structure ◽  
Ab Initio ◽  
Rydberg State ◽  
Rydberg States ◽  
Electronic Structure Calculations ◽  
Velocity Map Imaging ◽  
Ethyl Radical ◽  
Structure Calculations

Photodissociation dynamics of the ethyl radical from the 3s vs. 3p Rydberg states studied by velocity map imaging and ab initio electronic structure calculations.

Sign in / Sign up

Export Citation Format

Share Document