Raghunathan Ramakrishnan

Alıntı yapanlar

	Hepsi	2016 yılından bugüne
Alıntılar	2114	1984
h-endeksi	16	14
i10-endeksi	20	16

760

380

190

570

201120122013201420152016201720182019202020217 4 5 13 86 69 226 425 494 751 19

Katkıda bulunan yazarlar

O. Anatole von LilienfeldProfessor of Computational Materials Discovery, Faculty of Physics, University of Viennaunivie.ac.at üzerinde doğrulanmış e-posta adresine sahip
Matthias RuppUniversity of Konstanzuni-konstanz.de üzerinde doğrulanmış e-posta adresine sahip
Pavlo O. DralAssociate Professor, Xiamen Universityxmu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)tu-berlin.de üzerinde doğrulanmış e-posta adresine sahip
Alexandre TkatchenkoProfessor of Physics, University of Luxembourg; Visiting Professor, Berlin Big Data Centeruni.lu üzerinde doğrulanmış e-posta adresine sahip
Alexei Matveevtheochem.tu-muenchen.de üzerinde doğrulanmış e-posta adresine sahip
Enrico TapaviczaAssociate Professor of Chemistry, California State University, Long Beachcsulb.edu üzerinde doğrulanmış e-posta adresine sahip
Stijn FiasPost Doc. Vrije Universiteit Brusselvub.ac.be üzerinde doğrulanmış e-posta adresine sahip
Kuang-Yu Samuel ChangGooglegoogle.com üzerinde doğrulanmış e-posta adresine sahip
Julian J. KranzInstitute of Physical Chemistry, Karlsruhekit.edu üzerinde doğrulanmış e-posta adresine sahip
Maximilian KubillusGraduate Student, Karlsruhe Institute of Technology (KIT)kit.edu üzerinde doğrulanmış e-posta adresine sahip
Prakriti KayasthaSenior Research Fellow, Tata Institute of Fundamental Research, Center of Interdisciplinary Sciencestifrh.res.in üzerinde doğrulanmış e-posta adresine sahip
Ursula RothlisbergerProfessor of Computational Chemistry and Biochemistryepfl.ch üzerinde doğrulanmış e-posta adresine sahip
Nicholas J. BrowningEcole Polytechnique Federale de Lausanneepfl.ch üzerinde doğrulanmış e-posta adresine sahip
Md Hedayetullah MirAliah University, National University of Singapore (PhD)aliah.ac.in üzerinde doğrulanmış e-posta adresine sahip
Shampa RaghunathanDST Research Scientist, IIIT Hyderabad, Indiaresearch.iiit.ac.in üzerinde doğrulanmış e-posta adresine sahip
Eli PollakProfessor of Chemical Physics, Weizmann Institute of Scienceweizmann.ac.il üzerinde doğrulanmış e-posta adresine sahip
Rutvij BhavsarPhD studentyork.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Jochen KüpperCenter for Free-Electron Laser Sciencecfel.de üzerinde doğrulanmış e-posta adresine sahip
Dennis GillinghamProfessor of Chemistry, University of Baselunibas.ch üzerinde doğrulanmış e-posta adresine sahip

Raghunathan Ramakrishnan

TIFR Centre for Interdisciplinary Sciences, Hyderabad, India

tifrh.res.in üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Quantum Mechanics AI in Chemistry Chemical Space Design Attochemistry


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Quantum chemistry structures and properties of 134 kilo molecules R Ramakrishnan, PO Dral, M Rupp, OA Von Lilienfeld Scientific data 1 (1), 1-7, 2014	522	2014
Machine learning predictions of molecular properties: Accurate many-body potentials and nonlocality in chemical space K Hansen, F Biegler, R Ramakrishnan, W Pronobis, OA Von Lilienfeld, ... The journal of physical chemistry letters 6 (12), 2326-2331, 2015	434	2015
Big data meets quantum chemistry approximations: The Δ-machine learning approach R Ramakrishnan, PO Dral, M Rupp, OA von Lilienfeld Journal of chemical theory and computation 11 (5), 2087-2096, 2015	317	2015
Fourier series of atomic radial distribution functions: A molecular fingerprint for machine learning models of quantum chemical properties OA von Lilienfeld, R Ramakrishnan, M Rupp, A Knoll International Journal of Quantum Chemistry, 2015	171	2015
Machine learning for quantum mechanical properties of atoms in molecules M Rupp, R Ramakrishnan, OA von Lilienfeld The journal of physical chemistry letters 6 (16), 3309–3313, 2015	151	2015
Electronic spectra from TDDFT and machine learning in chemical space R Ramakrishnan, M Hartmann, E Tapavicza, OA von Lilienfeld The Journal of chemical physics 143 (8), 084111, 2015	106	2015
Many molecular properties from one kernel in chemical space R Ramakrishnan, OA von Lilienfeld CHIMIA International Journal for Chemistry 69 (4), 182-186, 2015	64	2015
MACHINE LEARNING, QUANTUM CHEMISTRY, AND CHEMICAL SPACE R Ramakrishnan, OA von Lilienfeld Reviews in Computational Chemistry, 2017	56	2017
Genetic optimization of training sets for improved machine learning models of molecular properties NJ Browning, R Ramakrishnan, OA Von Lilienfeld, U Roethlisberger The Journal of Physical Chemistry Letters 8 (7), 1351-1359, 2017	42	2017
Fast and accurate predictions of covalent bonds in chemical space KYS Chang, S Fias, R Ramakrishnan, OA von Lilienfeld The Journal of chemical physics 144 (17), 174110, 2016	32	2016
Generalized density-functional tight-binding repulsive potentials from unsupervised machine learning JJ Kranz, M Kubillus, R Ramakrishnan, OA von Lilienfeld, M Elstner Journal of chemical theory and computation 14 (5), 2341-2352, 2018	26	2018
Sci. Data 1, 140022 (2014) R Ramakrishnan, PO Dral, M Rupp, OA Von Lilienfeld	23	2014
The DFT+ U method in the linear combination of Gaussian-type orbitals framework: Role of 4f orbitals in the bonding of LuF3 R Ramakrishnan, AV Matveev, N Rösch Chemical Physics Letters 468 (4-6), 158-161, 2009	22	2009
Semi-quartic force fields retrieved from multi-mode expansions: Accuracy, scaling behavior, and approximations R Ramakrishnan, G Rauhut The Journal of Chemical Physics 142 (15), 154118, 2015	20	2015
Control and analysis of single-determinant electron dynamics R Ramakrishnan, M Nest Physical Review A 85 (5), 054501, 2012	19	2012
Manifestation of diamagnetic chemical shifts of proton NMR signals by an anisotropic shielding effect of nitrate anions HS Sahoo, DK Chand, S Mahalakshmi, MH Mir, R Raghunathan Tetrahedron letters 48 (5), 761-765, 2007	17	2007
Electron dynamics across molecular wires: A time-dependent configuration interaction study R Ramakrishnan, S Raghunathan, M Nest Chemical Physics 420, 44-49, 2013	12	2013
Reviews in Computational Chemistry R Ramakrishnan, OA Von Lilienfeld Wiley, 2017	11	2017
Effects of the self-interaction error in Kohn–Sham calculations: A DFT+ U case study on penta-aqua uranyl (VI) R Ramakrishnan, AV Matveev, N Rösch Computational and Theoretical Chemistry 963 (2-3), 337-343, 2011	11	2011
The chemical space of B, N-substituted polycyclic aromatic hydrocarbons: Combinatorial enumeration and high-throughput first-principles modeling S Chakraborty, P Kayastha, R Ramakrishnan The Journal of chemical physics 150 (11), 114106, 2019	10	2019

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