Svein Saebo

发表

Quantum chemistry in parallel with PQS

Tomasz Janowski, Jon Baker, Peter Pulay, 2009, J. Comput. Chem..

A new evolution based training method for dynamic synapse neural networks

Mohammad Bagher Menhaj, Saeed Salehi, S. Ali, 2006, Computational Intelligence.

Accuracy and efficiency of atomic basis set methods versus plane wave calculations with ultrasoft pseudopotentials for DNA base molecules

Jon Baker, Peter Pulay, Massimo Malagoli, 2005, J. Comput. Chem..

Efficient calculation of canonical MP2 energies

Peter Pulay, Krzysztof Wolinski, Svein Saebo, 2001 .

Avoiding the integral storage bottleneck in LCAO calculations of electron correlation

Svein Saebo, Jan Almlöf, J. Almlöf, 1989 .

The local correlation treatment. II. Implementation and tests

Peter Pulay, Svein Saebo, P. Pulay, 1988 .

Local configuration interaction: An efficient approach for larger molecules

Peter Pulay, Svein Saebo, P. Pulay, 1985 .

Fourth‐order Mo/ller–Plessett perturbation theory in the local correlation treatment. I. Method

Peter Pulay, Svein Saebo, P. Pulay, 1987 .

An efficient reformulation of the closed‐shell self‐consistent electron pair theory

Peter Pulay, Svein Saebo, P. Pulay, 1984 .

Efficient elimination of basis set superposition errors by the local correlation method: Accurate ab initio studies of the water dimer

Peter Pulay, Svein Saebo, P. Pulay, 1993 .

Two approaches to the computational determination of molecular structure: the torsional angle in tolane and the effect of fluorination on the structure of oxirane

James E. Boggs, Svein Saebo, Jan Almlöf, 1989 .

A low-scaling method for second order Møller–Plesset calculations

Peter Pulay, Svein Saebo, P. Pulay, 2001 .

MECHANISM OF 1,2-MIGRATION IN β-(ACYLOXY)ALKYL RADICALS

Leo Radom, Svein Saebo, Athelstan L. J. Beckwith, 1984 .