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Titlebook: Mathematical Approaches to Biomolecular Structure and Dynamics; Jill P. Mesirov,Klaus Schulten,De Witt Sumners Book 1996 Springer-Verlag N

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31#
發(fā)表于 2025-3-26 23:13:33 | 只看該作者
On the Parallelization of CHARMM on the CM-5/5EWe describe a new port of CHARMM to the CM-5 supercomputer. This port is based on the original B-H parallelization of CHARMM[2] for MIMD machines but it has an improved communications library.
32#
發(fā)表于 2025-3-27 01:24:47 | 只看該作者
33#
發(fā)表于 2025-3-27 05:23:23 | 只看該作者
Dynamics of Twist and Writhe and the Modeling of Bacterial Fibersrecise understanding of twist and writhe is important in a variety of physical and biological processes and, in particular, we describe how these ideas can be used to model the dynamics of the self-assembling bacterial fiber, ..
34#
發(fā)表于 2025-3-27 12:53:46 | 只看該作者
978-1-4612-8485-7Springer-Verlag New York, Inc. 1996
35#
發(fā)表于 2025-3-27 16:04:43 | 只看該作者
Mathematical Approaches to Biomolecular Structure and Dynamics978-1-4612-4066-2Series ISSN 0940-6573 Series E-ISSN 2198-3224
36#
發(fā)表于 2025-3-27 19:59:43 | 只看該作者
ely examines the use of neural networks for the control of uThe focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control prob
37#
發(fā)表于 2025-3-27 23:27:17 | 只看該作者
38#
發(fā)表于 2025-3-28 05:54:40 | 只看該作者
39#
發(fā)表于 2025-3-28 07:19:08 | 只看該作者
40#
發(fā)表于 2025-3-28 14:06:54 | 只看該作者
Donald J. Dichmann,Yiwei Li,John H. Maddocksodelling inhibitory and excitatory signals. They are summed at the input of each neuron and constitute its signal potential. The state of each neuron in this model is its signal potential, while the network state is the vector of signal potentials at each neuron. If its potential is positive, a neur
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