Photosynthese: US-Wissenschaftler entwickeln künstliches …

Photosynthese: US-Wissenschaftler entwickeln künstliches …
Das künstliche Blatt hat in etwa die Größe einer Spielkarte, ist aber dünner. Es besteht aus Silizium, Katalysatoren, die die Spaltungsreaktion anregen, und einigen elektronischen Bauteilen. Wird es ins Wasser gelegt und dem Sonnenlicht ausgesetzt, zerlegt es das Wasser in seine Bestandteile. Mit rund vier Litern Wasser lasse sich ein Haus den ganzen Tag mit Strom versorgen, erklärt Projektleiter Daniel Nocera, der das künstliche Blatt auf dem Frühjahrstreffen der US-Chemikergesellschaft (American Chemical Society, ACS) vorgestellt hat. Das ACS-Treffen findet derzeit im kalifornischen Anaheim statt.

Klaus Schulten

Klaus Schulten
Klaus Schulten received his Ph.D. from Harvard University in 1974. He is Swanlund Professor of Physics and is also affiliated with the Department of Chemistry as well as with the Center for Biophysics and Computational Biology. Professor Schulten is a full-time faculty member in the Beckman Institute and directs the Theoretical and Computational Biophysics Group. His professional interests are theoretical physics and theoretical biology. His current research focuses on the structure and function of supramolecular systems in the living cell, and on the development of non-equilibrium statistical mechanical descriptions and efficient computing tools for structural biology.

FFTW – Fast Fourier Transform

FFTW – Fast Fourier Transform
FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST). We believe that FFTW, which is free software, should become the FFT library of choice for most applications.Our benchmarks, performed on on a variety of platforms, show that FFTW’s performance is typically superior to that of other publicly available FFT software, and is even competitive with vendor-tuned codes. In contrast to vendor-tuned codes, however, FFTW’s performance is portable: the same program will perform well on most architectures without modification.

The FFTW package was developed at MIT by Matteo Frigo and Steven G. Johnson.

The FFT implementations in the benchmark were written by various authors over a period of more than 35 years.