Three decades ago, J. J. Hanak proposed a new approach for materials exploration that he called the ‘‘multisample concept.’’ The goal was to make materials discovery processes faster with higher efficiency as compared to the standard methods (1). This idea of producing many different compositions at once appeared to be an elegant art that introduced diversity and parallel processing in experiments. More recently, researchers have begun to use a new idea commonly known as the combinatorial approach. At first, this was applied mostly to chemical synthesis and screening of large numbers of organic compounds for drug discovery processes (2). By using the combinatorial approach, researchers have been able to predict and find an optimal composition with the desired characteristics much faster than before. There are many good examples of applications of the combinatorial method in chemistry, including the development of catalytic antibodies (3) and, more recently, the identification of nonpeptide agonists (activators) for different somatostain receptor subtypes (4). Inorganic materials have many more potential applications than organic materials because they exhibit a wide range of physical/chemical properties, many of which are strongly dependent on compositions. The combinatorial approach has great potential in investigating important inorganic materials, and its utility
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