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On the intrinsic Rent parameter and spectra-based partitioning methodologies

L. Hagen, A.B. Kahng, F.J. Kurdahi, C. Ramachandran
1994 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  
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

L. Hagen, A.B. Kahng, F.J. Kurdahi, C. Ramachandran
Proceedings EURO-DAC '92: European Design Automation Conference  
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

Dennis J. Boccippio, Walter A. Petersen, Daniel J. Cecil
2005 Journal of Climate  
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

Francesco Aquilante, Jochen Autschbach, Alberto Baiardi, Stefano Battaglia, Veniamin A. Borin, Liviu F. Chibotaru, Irene Conti, Luca De Vico, Mickaël Delcey, Ignacio Fdez. Galván, Nicolas Ferré, Leon Freitag (+27 others)
2020 Journal of Chemical Physics  
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)  
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

Thomas Frederiksen, Magnus Paulsson, Mads Brandbyge, Antti-Pekka Jauho
2007 Physical Review B  
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

Janek Gröhl, Melanie Schellenberg, Kris Dreher, Lena Maier-Hein
2021 Photoacoustics  
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

Houda Yahi, Alain Weill, Michel Crepon, Antoni Ung, Sylvie Thiria
2013 Open Journal of Air Pollution  
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]

Oliver T. Unke, Stefan Chmiela, Huziel E. Sauceda, Michael Gastegger, Igor Poltavsky, Kristof T. Schütt, Alexandre Tkatchenko, Klaus-Robert Müller
2021 arXiv   pre-print
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]

Hongbin Zhang
2020 arXiv   pre-print
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

R. Machrafi, A.L. Miller, N. Khan
2015 Radiation Measurements  
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  
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  
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

Anthony Awuley, Brian J. Ross
2016 2016 IEEE Congress on Evolutionary Computation (CEC)  
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]

Rushil Anirudh, Rick Archibald, M. Salman Asif, Markus M. Becker, Sadruddin Benkadda, Peer-Timo Bremer, Rick H.S. Budé, C.S. Chang, Lei Chen, R. M. Churchill, Jonathan Citrin, Jim A Gaffney (+51 others)
2022 arXiv   pre-print
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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