Relativistic Effects in Chemical Systems

Abstract

Machine learning (ML) is transforming all areas of science. The complex and time-consuming calculations in molecular simulations are particularly suitable for an ML revolution and have already been profoundly affected by the application of existing ML ...Read More

Keywords

Computer scienceStatistical physicsPhysics

Affiliated Institutions

Clarkson University US

Related Publications

Quantum Theory of Structure and Dynamics

Leland C. Allen

Machine learning (ML) is transforming all areas of science. The complex and time-consuming calculations in molecular simulations are particularly suitable for an ML revolution a...

1969 Annual Review of Physical Chemistry 48 citations

The Electromagnetic Theory of Surface Enhanced Spectroscopy

H Metiu , P. Das

Machine learning (ML) is transforming all areas of science. The complex and time-consuming calculations in molecular simulations are particularly suitable for an ML revolution a...

1984 Annual Review of Physical Chemistry 205 citations

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Laith Alzubaidi , Jinglan Zhang , Amjad J. Humaidi +7 more

In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the ...

2021 Journal Of Big Data 6563 citations

SHARCGS, a fast and highly accurate short-read assembly algorithm for de novo genomic sequencing

Juliane C. Dohm , Claudio Lottaz , Tatiana Borodina +1 more

The latest revolution in the DNA sequencing field has been brought about by the development of automated sequencers that are capable of generating giga base pair data sets quick...

2007 Genome Research 281 citations

AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics

Johan A. A. Nylander , James C. Wilgenbusch , Dan L. Warren +1 more

Abstract Summary: A key element to a successful Markov chain Monte Carlo (MCMC) inference is the programming and run performance of the Markov chain. However, the explicit use o...

2007 Bioinformatics 1743 citations

Publication Info

Year: 1985
Type: article
Volume: 36
Issue: 1
Pages: 407-432
Citations: 221
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Relativistic Effects in Chemical Systems

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

221

OpenAlex

Cite This

APA Style

                            
                                    P. A. Christiansen, 
                                
                                    Walter C. Ermler, 
                                
                                    Kenneth S. Pitzer
                                
                            (1985). 
                            Relativistic Effects in Chemical Systems. 
                            Annual Review of Physical Chemistry
                            , 36
                            (1)
                            , 407-432.
                            https://doi.org/10.1146/annurev.pc.36.100185.002203

Identifiers

DOI: 10.1146/annurev.pc.36.100185.002203