User profiles for N. Alexandrov
Nickolai AlexandrovThermo Fisher Scientific Verified email at thermofisher.com Cited by 7043 |
Multidisciplinary design optimization: State of the art
NM Alexandrov, MY Hussaini - 1997 - books.google.com
Multidisciplinary design optimization (MDO) has recently emerged as a field of research and
practice that brings together many previously disjointed disciplines and tools of engineering …
practice that brings together many previously disjointed disciplines and tools of engineering …
An overview of first-order model management for engineering optimization
NM Alexandrov, RM Lewis - Optimization and Engineering, 2001 - Springer
… A detailed discussion of the relative applicability of the three AMMO frameworks can be
found in Alexandrov et … Details of both demonstrations can be found in Alexandrov et al. (2000a). …
found in Alexandrov et … Details of both demonstrations can be found in Alexandrov et al. (2000a). …
[HTML][HTML] Genomic variation in 3,010 diverse accessions of Asian cultivated rice
… 29 , IR 8 from the XI group and N 22 from the cA group (Supplementary Data 3 Table 4). We
found 98.4% of the IR 8 and 98.6% of the N 22 genome sequences could be mapped to the …
found 98.4% of the IR 8 and 98.6% of the N 22 genome sequences could be mapped to the …
Plasma-assisted ignition and combustion
A Starikovskiy, N Aleksandrov - Progress in Energy and Combustion …, 2013 - Elsevier
… ) of about 10 mJ in total energy show the presence of N, N + , O, and O + atomic species and
a gas … at E/n > 0.1 Td for atomic gases and at E/n > 1 Td for molecular gases (1 Td = 10 −17 …
a gas … at E/n > 0.1 Td for atomic gases and at E/n > 1 Td for molecular gases (1 Td = 10 −17 …
A trust-region framework for managing the use of approximation models in optimization
NM Alexandrov, JE Dennis Jr, RM Lewis… - Structural …, 1998 - Springer
This paper presents an analytically robust, globally convergent approach to managing the
use of approximation models of varying fidelity in optimization. By robust global behaviour we …
use of approximation models of varying fidelity in optimization. By robust global behaviour we …
[HTML][HTML] Genomes of 13 domesticated and wild rice relatives highlight genetic conservation, turnover and innovation across the genus Oryza
… IR 8 (also known as Miracle Rice) and the drought-tolerant aus variety N 22) and seven wild
species (Oryza rufipogon, Oryza nivara, Oryza barthii, O. glumaepatula, Oryza meridionalis, …
species (Oryza rufipogon, Oryza nivara, Oryza barthii, O. glumaepatula, Oryza meridionalis, …
[HTML][HTML] Insights into corn genes derived from large-scale cDNA sequencing
NN Alexandrov, VV Brover, S Freidin… - Plant molecular …, 2009 - Springer
We present a large portion of the transcriptome of Zea mays, including ESTs representing
484,032 cDNA clones from 53 libraries and 36,565 fully sequenced cDNA clones, out of which …
484,032 cDNA clones from 53 libraries and 36,565 fully sequenced cDNA clones, out of which …
Approximation and model management in aerodynamic optimization with variable-fidelity models
NM Alexandrov, RM Lewis, CR Gumbert, LL Green… - Journal of Aircraft, 2001 - arc.aiaa.org
WE describe a general approach to design optimization, the first-order approximation and
model management optimization (AMMO) framework, that integrates engineering and revision …
model management optimization (AMMO) framework, that integrates engineering and revision …
SNP-Seek database of SNPs derived from 3000 rice genomes
N Alexandrov, S Tai, W Wang, L Mansueto… - Nucleic acids …, 2015 - academic.oup.com
We have identified about 20 million rice SNPs by aligning reads from the 3000 rice genomes
project with the Nipponbare genome. The SNPs and allele information are organized into a …
project with the Nipponbare genome. The SNPs and allele information are organized into a …
Optimization with variable-fidelity models applied to wing design
N Alexandrov, R Lewis, C Gumbert, L Green… - … sciences meeting and …, 2000 - arc.aiaa.org
This work discusses an approach, the Approximation Management Framework (AMF), for
solving optimization problems that involve computationally expensive simulations. AMF aims to …
solving optimization problems that involve computationally expensive simulations. AMF aims to …