Frederick R. Manby
Atomic and Molecular Physics, and Optics · 2003–2021
A researcher in the Science corpus: 12 papers; trusts 4 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 93 citations into it; #519 of 7,135 by trust here, #1,000 by citations
- Materials Chemistry — 45 citations into it
- Spectroscopy — 14 citations into it; #187 of 1,674 by trust here, #398 by citations
- Electrical and Electronic Engineering — 9 citations into it
- Electronic, Optical and Magnetic Materials — 5 citations into it
Whom Frederick R. Manby trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Frederick R. Manby overall
- Qianli Ma
- Hans-Joachim Werner
- Venera Khoromskaia
- Seiichiro L. Ten-no
- Sambasiva Rao Chinnamsetty
- John Grant Hill
- Boris N. Khoromskij
- Konrad Patkowski
- Florian Weigend
- G. Knizia
Papers from Frederick R. Manby's perspective
Ordered by how strongly the researchers Frederick R. Manby trusts endorse each paper. Same corpus, a different order for every researcher.
- Higher excitations in coupled-cluster theory
- Local treatment of electron excitations in the EOM-CCSD method
- Local perturbative triples correction (T) with linear cost scaling
- Fast Hartree–Fock theory using local density fitting approximations
- Simplified CCSD(T)-F12 methods: theory and benchmarks. (Journal of Chemical Physics)
- Sparse maps--A systematic infrastructure for reduced-scaling electronic structure methods. II. Linear scaling domain based pair natural orbital coupled cluster theory. (Journal of Chemical Physics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy.
- Molpro: a general‐purpose quantum chemistry program package
- Fragmentation methods: a route to accurate calculations on large systems. (Chemical Reviews)
Their papers
- OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features (2020) — 263 citations
- OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy. (2021) — 87 citations
- The Molpro quantum chemistry package. (2020) — 976 citations
- A Simple, Exact Density-Functional-Theory Embedding Scheme (2012) — 366 citations
- Molpro: a general‐purpose quantum chemistry program package (2012) — 3,365 citations
- Explicitly correlated coupled cluster methods with pair-specific geminals (2011) — 201 citations
- Fast local-MP2 method with density-fitting for crystals. I. Theory and algorithms (2007) — 138 citations
- R12 methods in explicitly correlated molecular electronic structure theory (2006) — 385 citations
- Fast Hartree–Fock theory using local density fitting approximations (2004) — 290 citations
- Linear scaling local coupled cluster theory with density fitting. Part I: 4-external integrals (2003) — 214 citations
- Density fitting in second-order linear-r12 Møller–Plesset perturbation theory (2003) — 287 citations
- Fast linear scaling second-order Møller-Plesset perturbation theory (MP2) using local and density fitting approximations (2003) — 672 citations