Tunneling of Magnetization in High-Spin Molecular Magnets

w：\awards\awards97\9704309.doc 9704309 Sarachik 纽约市立大学的一位女物理学家和加州大学圣地亚哥分校的一位化学家之间的这项新合作将重点关注由大量相同的高自旋分子团簇（例如醋酸锰12）组成的晶体的磁性合成和研究。 它们的磁双稳性使这些材料成为高密度信息存储的强有力的候选元素。 我们最近证明的双势阱中的自旋隧穿 让 它们变得有趣 从 一 的基本观点，并提供了可能性，这类材料可以用作量子计算的元素。 我们研究的目的是合成新的分子晶体，优化应用性能，并更好地了解它们的行为。 纽约市立大学的一位女物理学家和加州大学圣地亚哥分校的一位化学家之间的这项新合作将专注于合成和研究由大分子晶体组成的分子晶体。 同磁数 亚基，如Mn12乙酸盐。 他们的 磁双稳性使得这种材料成为高密度信息存储元件的强有力的候选者。 它们在低温下的量子力学性质由于基本原因而令人感兴趣， 并且还 提供 它们可以用于“量子计算机”的可能性，这需要同时处于“是”状态的元件。 和“不”的状态。 我们研究的目的是合成新的分子晶体，优化应用性能，并更好地了解它们的行为。 ***

w:\awards\awards97\9704309.doc 9704309 Sarachik This new collaboration between a woman physicist at CUNY and a chemist at UC San Diego will focus on the synthesis and study of the magnetic properties of crystals composed of a large number of identical high-spin molecular clusters, such as Mn12 acetate. Their magnetic bistability makes such materials strong candidates as elements for high-density storage of information. The spin- tunneling in a double well potential that we have recently demonstrated makes them interesting from a fundamental standpoint, and offers the possibility that materials of this class could be used as elements for quantum computation. The aim of our studies is to synthesize new molecular crystals that will optimize properties for applications, and to gain a better understanding of their behavior. %%% This new collaboration between a woman physicist at CUNY and a chemist at UC San Diego will focus on the synthesis and study of molecular crystals composed of a large number of identical magnetic subunits, such as Mn12 acetate. Their magnetic bistability makes such materials strong candidates as elements for high-density storage of information. Their quantum mechanical properties at low temperatures are interesting for fundamental reasons, and also offer the possibility that they can be used in "quantum computers" which require elements that are simultaneously in a "yes" and "no" state. The aim of our studies is to synthesize new molecular crystals that will optimize properties for applications, and to gain a better understanding of their behavior. ***