Gaussian, Inc. is pleased to announce the release of Gaussian 94, the la- test development in the Gaussian series of programs. Gaussian 94 is available immediately for several computer platforms including Cray (UniCOS), DEC Alpha AXP (OSF/1), HP-700 (HP-UX), IBM RS/6000 (AIX), and Silicon Graphics (IRIX). At this time, Convex (UNIX), Fujitsu (UXP/M), and NEC SX-3 (SuperUX) versions of Gaussian 94 are not immediately available, but are in final testing.

Gaussian 94 continues the tradition of expanding the limits of computational chemistry. Among new features are magnetic properties, generalized cavity solvation effects, and automated G1, G2 and Complete Basis Set (CBS) high-accuracy energy models. Geometry optimizations are faster than ever; they can now be performed in redundant internal coordinates. Gaussian 94 also offers synchronous transit guided quasi-Newton methods for locating transition structures. Performance improvements include network parallel capability, using the Linda environment from SCIENTIFIC Computing Associates, to complement enhanced shared-memory parallel features. Density functional theory (DFT) methods are now standard in Gaussian 94.

We remind users that we maintain a mailing list for those interested in subscribing to our free newsletter, Gaussian NEWS. The newsletter discusses new implementations, updates, and future developments of the Gaussian system of programs. It also informs subscribers about upcoming user meetings and workshops, and contains features such as user profiles and technical notes. To subscribe to Gaussian NEWS, please e-mail your full mailing address to info@gaussian.com. In addition to our regular mailing list, we continue to maintain an electronic mailing list for those interested in news regarding the Gaussian system of programs. We invite any interested parties to subscribe to either or both lists. We also welcome any comments or suggestions you might have.

If you would like to obtain a license for Gaussian 94 at your site or if you desire additional information regarding the Gaussian series of programs, please contact us at the address or telephone numbers given above, or send electronic mail to info@gaussian.com.

Yours Sincerely, David J. Moses, Ph.D. Vice President, C.O.O. -------------------------------------------------------------------------

This notice is sent without warranty of any kind, expressed or implied Gaussian is a registered trademark of Gaussian, Inc. All other trademarks are the property of their respective holders. Specifications and availability subject to change without notice.