Results 31 to 40 of about 100,963 (264)

Investigation of the process of polymer stabilization of mixed iron oxide with amylopectin

open access: yesФизико-химические аспекты изучения кластеров, наноструктур и наноматериалов
In this work, samples of mixed nanoscale iron oxide stabilized with amylopectin were obtained by chemical precipitation in an aqueous medium. This compound has a wide range of applications in biomedical technologies, energy storage and conversion ...
A.A. Nagdalian   +5 more
doaj   +1 more source

Quantum Chemical Calculations by Parallel Computer from Commodity PC

open access: yesNonlinear Analysis, 2007
Computational quantum chemistry helps us to determine, calculate, and study new concepts, compounds, reactions and mechanisms. Such way is very useful with compounds that require exceptionally care in their handling, such as explosives, decreasing risk ...
S. Bekešienė, S. Sėrikovienė
doaj   +1 more source

Exploration of Reaction Pathways and Chemical Transformation Networks

open access: yes, 2018
For the investigation of chemical reaction networks, the identification of all relevant intermediates and elementary reactions is mandatory. Many algorithmic approaches exist that perform explorations efficiently and automatedly.
Reiher, Markus   +2 more
core   +1 more source

Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning

open access: yes, 2021
Computational study of molecules and materials from first principles is a cornerstone of physics, chemistry and materials science, but limited by the cost of accurate and precise simulations.
Goeßmann, A., Langer, M., Rupp, M.
core   +2 more sources

Computer quantum-chemical simulation of the interaction of calcium carbonate with biopolymers

open access: yesСовременная наука и инновации
As part of this work, computer quantum chemical modeling of the interaction of calcium carbonate with biopolymers (chitosan, hydroxyethylcellulose, hyaluronic acid) was carried out.
M. A. Pirogov   +6 more
doaj   +1 more source

Many Molecular Properties from One Kernel in Chemical Space [PDF]

open access: yes, 2015
We introduce property-independent kernels for machine learning modeling of arbitrarily many molecular properties. The kernels encode molecular structures for training sets of varying size, as well as similarity measures sufficiently diffuse in chemical ...
Ramakrishnan, Raghunathan   +1 more
core   +3 more sources

Quantum Genetics, Quantum Automata and Quantum Computation [PDF]

open access: yes, 2004
The concepts of quantum automata and quantum computation are studied in the context of quantum genetics and genetic networks with nonlinear dynamics. In a previous publication (Baianu,1971a) the formal concept of quantum automaton was introduced and its ...
Baianu, Professor I. C.
core  

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

open access: yesFEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Article Establishment of the structure of hydrate-solvate complexes of iodine extracted from model aqueous solutions in the system I2 – NaCl – Н2О – tributylphosphate /isooctane [PDF]

open access: yesИзвестия Саратовского университета. Новая серия: Серия Химия. Биология. Экология
The equilibrium parameters of the extraction of iodine from aqueous model solutions of various compositions have been determined and the infl uence of the background mineralization of the raffi nate has been revealed.
ponomareva, polina Александровна   +1 more
doaj   +1 more source

SchNet: A continuous-filter convolutional neural network for modeling quantum interactions [PDF]

open access: yes, 2017
Deep learning has the potential to revolutionize quantum chemistry as it is ideally suited to learn representations for structured data and speed up the exploration of chemical space. While convolutional neural networks have proven to be the first choice
Chmiela, Stefan   +5 more
core   +1 more source

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