76,026 research outputs found
Topological optimization for tailored designs of advection–diffusion-reaction porous reactors based on pore scale modeling and simulation: A PNM-NSGA framework
Alizadeh Mehrzad, Gostick Jeff, Suzuki Takahiro, et al. Topological optimization for tailored designs of advection–diffusion-reaction porous reactors based on pore scale modeling and simulation: A PNM-NSGA framework. Computers & Structures 301, 107452 (2024); https://doi.org/10.1016/j.compstruc.2024.107452
Quantitative Protein Dynamics from Dominant Folding Pathways
We develop a theoretical approach to the protein folding problem based on
out-of-equilibrium stochastic dynamics. Within this framework, the
computational difficulties related to the existence of large time scale gaps in
the protein folding problem are removed and simulating the entire reaction in
atomistic details using existing computers becomes feasible. In addition, this
formalism provides a natural framework to investigate the relationships between
thermodynamical and kinetic aspects of the folding. For example, it is possible
to show that, in order to have a large probability to remain unchanged under
Langevin diffusion, the native state has to be characterized by a small
conformational entropy. We discuss how to determine the most probable folding
pathway, to identify configurations representative of the transition state and
to compute the most probable transition time. We perform an illustrative
application of these ideas, studying the conformational evolution of alanine
di-peptide, within an all-atom model based on the empiric GROMOS96 force field.Comment: 4 pages, 1 figur
Computational Modalities of Belousov-Zhabotinsky Encapsulated Vesicles
We present both simulated and partial empirical evidence for the
computational utility of many connected vesicle analogs of an encapsulated
non-linear chemical processing medium. By connecting small vesicles containing
a solution of sub-excitable Belousov-Zhabotinsky (BZ) reaction, sustained and
propagating wave fragments are modulated by both spatial geometry, network
connectivity and their interaction with other waves. The processing ability is
demonstrated through the creation of simple Boolean logic gates and then by the
combination of those gates to create more complex circuits
On computing in fine-grained compartmentalised Belousov-Zhabotinsky medium
We introduce results of computer experiments on information processing in a
hexagonal array of vesicles filled with Belousov-Zhabotinsky (BZ) solution in a
sub-excitable mode. We represent values of Boolean variables by excitation
wave-fragments and implement basic logical gates by colliding the
wave-fragments. We show that a vesicle filled with BZ mixture can implement a
range of basic logical functions. We cascade BZ-vesicle logical gates into
arithmetic circuits implementing addition of two one-bit binary numbers. We
envisage that our theoretical results will be applied in chemical laboratory
designs of massive-parallel computers based on fine-grained
compartmentalisation of excitable chemical systems
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