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On the intrinsic Rent parameter and spectra-based partitioning methodologies
1994
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Experimental results show that spectra-based ratio cut partitioning algorithms yield partitioning trees with the lowest observed Rent parameter over all benchmarks and over all algorithms tested. ...
We de ne the intrinsic Rent parameter of a netlist to be the minimum possible Rent parameter of any partitioning tree for the netlist. ...
Indeed, to facilitate this latter application, we c e n ter on the spectra-based ratio cut approach and propose several methods for rapidly estimating the intrinsic Rent parameter value. ...
doi:10.1109/43.273752
fatcat:ou3qklrma5a2hp3yv6k6w7wffi
On the intrinsic Rent parameter and spectra-based partitioning methodologies
Proceedings EURO-DAC '92: European Design Automation Conference
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Experimental results show that spectra-based ratio cut partitioning algorithms yield partitioning trees with the lowest observed Rent parameter over all benchmarks and over all algorithms tested. ...
We de ne the intrinsic Rent parameter of a netlist to be the minimum possible Rent parameter of any partitioning tree for the netlist. ...
Indeed, to facilitate this latter application, we c e n ter on the spectra-based ratio cut approach and propose several methods for rapidly estimating the intrinsic Rent parameter value. ...
doi:10.1109/eurdac.1992.246242
dblp:conf/eurodac/HagenKRK92
fatcat:m2qssfpjcnaxnjtopj54jmnp4i
The Tropical Convective Spectrum. Part I: Archetypal Vertical Structures
2005
Journal of Climate
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
There is nothing intrinsically meaningful about & = 25, it simply “works” for the selected set of input parameters and training sample size. ...
Scope and methodology
a. ...
doi:10.1175/jcli3335.1
fatcat:xgp4yeegrngazdlulhgksdwwwu
Modern quantum chemistry with [Open]Molcas
2020
Journal of Chemical Physics
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MOLCAS/OpenMolcas is an ab initio electronic structure program providing a large set of computational methods from Hartree-Fock and density functional theory to various implementations of multiconfigurational ...
This article provides a comprehensive overview of the main features of the code, specifically reviewing the use of the code in previously reported chemical applications as well as more recent applications ...
As described in Ref. 150 , the chromophore nonbonding and bonding interactions are modeled based on AMBER94 rules, where a customized set of AMBER94 parameters is used for the van der Waals parameters ...
doi:10.1063/5.0004835
pmid:32505150
fatcat:wusdvjinubgq3pa6hkuvuksffu
Session and abstracts
2013
2013 38th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)
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We propose the use of combination of synthesis method of multimode waveguides and the EFIE analysis method. ...
The synthesis uses the fields on the waveguide wall which are simply expressed in tenns of surface current calculated with EFIE approach. ...
In this report, an automatic unfolding method for THz spectra is proposed based on multidimensional peak searching and quadratic programming. ...
doi:10.1109/irmmw-thz.2013.6665398
fatcat:cr2vloto55gh3bek773xl46q3a
Inelastic transport theory from first principles: Methodology and application to nanoscale devices
2007
Physical Review B
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Both for the wires and the molecules our theory is in quantitative agreement with experiments, and characterizes the system-specific mode selectivity and local heating. ...
The method extends the density-functional codes SIESTA and TranSIESTA that use atomic basis sets. ...
Based on a self-consistent tight-binding procedure with parameters obtained from DFT, 30 Pecchia et al. considered vibrational effects in octanethiols bonded to gold electrodes using NEGF and the Born ...
doi:10.1103/physrevb.75.205413
fatcat:l367gmu6xnazpijrqxdqvzdq2y
Deep learning for biomedical photoacoustic imaging: A review
2021
Photoacoustics
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However, extraction of relevant tissue parameters from the raw data requires the solving of inverse image reconstruction problems, which have proven extremely difficult to solve. ...
The application of deep learning methods has recently exploded in popularity, leading to impressive successes in the context of medical imaging and also finding first use in the field of PAI. ...
The authors would like to thank M. D. Tizabi and A. Seitel for proofreading the manuscript. ...
doi:10.1016/j.pacs.2021.100241
pmid:33717977
pmcid:PMC7932894
fatcat:ijlvkeivlbhmzdf7otgrjuthky
Retrieval of PM10 Concentration from an AOT Passive Remote-Sensing Station between 2003 and 2007 over Northern France
2013
Open Journal of Air Pollution
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The meteorological situations were defined by the hourly vertical profiles of temperature and (zonal and meridian) wind components. ...
As PM10 concentration strongly depends on meteorological variables, we clustered the meteorological situations provided by the MM5 meteorological model forced at the lateral boundaries by the operational ...
rent from the three west rn sites. ...
doi:10.4236/ojap.2013.24009
fatcat:3sdsqq44hja55c5bmenntdkccu
Machine Learning Force Fields
[article]
2021
arXiv
pre-print
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One of the most promising applications is the construction of ML-based force fields (FFs), with the aim to narrow the gap between the accuracy of ab initio methods and the efficiency of classical FFs. ...
The key idea is to learn the statistical relation between chemical structure and potential energy without relying on a preconceived notion of fixed chemical bonds or knowledge about the relevant interactions ...
On the other hand, to offer readers with a chemical background a first orientation, an overview of two important methodologies in Machine Learning, namely kernel-based learning approaches and artificial ...
arXiv:2010.07067v2
fatcat:shqhw36dibf2hgteim3xeywxxu
High-throughput Design of Magnetic Materials
[article]
2020
arXiv
pre-print
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Materials design based on density functional theory (DFT) calculations is an emergent field of great potential to accelerate the development and employment of novel materials. ...
a particular focus on the current challenges and feasible solutions. ...
to obtain accurate electronic structure and thus the intrinsic properties, and essential parameters for multi-scale modelling, ensuring the predictive power. ...
arXiv:2008.12907v1
fatcat:kqcvjjioxvfyppad32hf6oepfm
New approach to neutron spectrometry with multi element scintillator
2015
Radiation Measurements
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Acknowledgments First and foremost, I am grateful to God for His many blessings. It is by His grace, love, and mercy, that I am able to achieve anything. ...
For the boron-loaded plastic scintillator and Cs 2 LiYCl 6 :Ce scintillators, the parameters were defined based on the manufacturer's recommendation and multiple tests with the scope. ...
spectra at the RENT facility with and without a phantom [93] ........Figure 30: Neutron spectra from cosmic-induced neutrons on the ground and at different altitudes [94] ............................. ...
doi:10.1016/j.radmeas.2015.06.009
fatcat:dbv3zylmy5gkdfommltmcqm4gq
Thirty-seventh Annual Meeting February 14-18, 1993 Washington Convention Center Washington, D.C. Monday Symposia and Posters, Part III
1993
Biophysical Journal
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parameters such as intrinsic persistence length, charge per nt ontour lenth p, and Debye length lx. ...
Triplet absorption and emission spectra revealed one short lived (Ti) and one long lived (T2) species. ...
ADP and GTP at similar concentrations had no effect on Cl conductance. These results indicate that the Cl conductance on granule membranes is regulated differently than CFTR. Support NIDK-3958. ...
doi:10.1016/s0006-3495(93)81402-4
fatcat:24ko6otkrrfypo7t6fl2sbkuqu
2021 Index IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 18
2022
IEEE/ACM Transactions on Computational Biology & Bioinformatics
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, TCBB May-June 2021 1122-1129 MicroRNA Based Feedforward Control of Intrinsic Gene Expression Noise. Bokes, P., +, TCBB Jan. ...
doi:10.1109/tcbb.2021.3136340
fatcat:bjvb334webfovh4nsc7oeds3di
Feature selection and classification using age layered population structure genetic programming
2016
2016 IEEE Congress on Evolutionary Computation (CEC)
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On the other hand, population based stochastic algorithms often suffer from pre-mature convergence on mediocre sub-optimal solutions. ...
Beatrice Ombuki-Berman and Sheridan Houghten for their participation on the supervisory committee. 3. ...
Acknowledgements I would like to thank the following individuals and organizations for their tireless support: ...
doi:10.1109/cec.2016.7744088
dblp:conf/cec/AwuleyR16
fatcat:um6hwvpxcbc3pazm3fci6w62rm
2022 Review of Data-Driven Plasma Science
[article]
2022
arXiv
pre-print
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that DDPS continues to benefit significantly from the interdisciplinary marriage between plasma science and data science into the foreseeable future. ...
Despite the recent impressive progress in applications of data science to plasma science and technology, the emerging field of DDPS is still in its infancy. ...
In other words, selection of input parameters based on hypothesis and physical insight is essential for improvement of a predictor. ...
arXiv:2205.15832v1
fatcat:fxsl6gl3fncnhpoj76defxoc3a
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