✦ LIBER ✦

Ion-surface scattering in the time-dependent mean-field approximation

✍ Scribed by K.J. Schafer; N.-H. Kwong; J.D. Garcia

Book ID: 118362256
Publisher: Elsevier Science
Year: 1988
Tongue: English
Weight: 633 KB
Volume: 199
Category: Article
ISSN: 0039-6028
DOI: 10.1016/0039-6028(88)90402-5

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Soliton scattering in the time-dependent

Soliton scattering in the time-dependent mean-field S-matrix theory

✍ H. Reinhardt 📂 Article 📅 1983 🏛 Elsevier Science 🌐 English ⚖ 385 KB

The time-dependent relativistic mean-fie

The time-dependent relativistic mean-field theory and the random phase approximation

✍ P. Ring; Zhong-yu Ma; Nguyen Van Giai; D. Vretenar; A. Wandelt; Li-gang Cao 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 171 KB

The Relativistic Random Phase Approximation (RRPA) is derived from the Time-Dependent Relativistic Mean-Field (TD RMF) theory in the limit of small amplitude oscillations. In the nosea approximation of the RMF theory, the RRPA configuration space includes not only the usual particle-hole ph-states,

Path integrals, boson expansions and the

Path integrals, boson expansions and the time dependent mean-field approximations

✍ J.P. Blaizot; H. Orland 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 355 KB

The time-dependent mean-field S-matrix t

The time-dependent mean-field S-matrix theory in the adiabatic limit

✍ H. Reinhardt 📂 Article 📅 1982 🏛 Elsevier Science 🌐 English ⚖ 810 KB

Application of time-dependent mean-field

Application of time-dependent mean-field theory to heavy ion collisions: Simple example of an S-matrix calculation for elastic scattering

✍ Ikeda, K. ;Yoshida, S. ;Yamaji, S. 📂 Article 📅 1986 🏛 Springer 🌐 English ⚖ 680 KB

Distributed approximating function appro

Distributed approximating function approach to time-dependent wavepacket propagation in 3-dimensions: atom-surface scattering

✍ Youhong Huang; Donald J. Kouri; Mark Arnold; Thomas L. Marchioro II; David K. Ho 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 949 KB