Publication

The role of MgB12H12 in the hydrogen desorption process of Mg(BH4)(2)

Andreas Züttel
2015
Journal Articles

Abstract

The presence of MgB12H12 has often been considered as the major obstacle for the reversible hydrogen storage in Mg(BH4)(2). This communication provides evidence that the MgB12H12 phase (or B12H12 monomer) does not exist in the decomposition products of Mg(BH4)(2) at temperatures ranging from 265 to 400 degrees C, and thereby it will not act as a dead end.

Official source

https://infoscience.epfl.ch/entities/publication/f9a96a0c-2a83-4022-8495-b51f998aa046

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Andreas Züttel
2015
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/f9a96a0c-2a83-4022-8495-b51f998aa046

About this result

Related concepts (25)

Communication

Communication is usually defined as the transmission of information. The term can also refer to the message itself, or the field of inquiry studying these transmissions, also known as communication studies. The precise definition of communication is disputed. Controversial issues are whether unintentional or failed transmissions are included and whether communication does not just transmit meaning but also create it. Models of communication aim to provide a simplified overview of its main components and their interaction.

QR decomposition

In linear algebra, a QR decomposition, also known as a QR factorization or QU factorization, is a decomposition of a matrix A into a product A = QR of an orthonormal matrix Q and an upper triangular matrix R. QR decomposition is often used to solve the linear least squares problem and is the basis for a particular eigenvalue algorithm, the QR algorithm. Any real square matrix A may be decomposed as where Q is an orthogonal matrix (its columns are orthogonal unit vectors meaning ) and R is an upper triangular matrix (also called right triangular matrix).

LU decomposition

In numerical analysis and linear algebra, lower–upper (LU) decomposition or factorization factors a matrix as the product of a lower triangular matrix and an upper triangular matrix (see matrix decomposition). The product sometimes includes a permutation matrix as well. LU decomposition can be viewed as the matrix form of Gaussian elimination. Computers usually solve square systems of linear equations using LU decomposition, and it is also a key step when inverting a matrix or computing the determinant of a matrix.

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