Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons

Article Properties
Journal Categories
Science
Chemistry
Physical and theoretical chemistry
Science
Physics
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Refrences
Title Journal Journal Categories Citations Publication Date
10.1007/978-3-540-28650-9_4 2006
10.1093/acprof:oso/9780198509776.001.0001 2003
10.1142/0270 1987
Advances in Neural Information Processing Systems 18 2006
Information Theory, Inference, and Learning Algorithms 2003
Citations
Title Journal Journal Categories Citations Publication Date
Graph Neural Network-Accelerated Multitasking Genetic Algorithm for Optimizing PdxTi1–xHy Surfaces under Various CO2 Reduction Reaction Conditions ACS Applied Materials & Interfaces
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  • Science: Chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
 2024
Completeness of atomic structure representations

 APL Machine Learning
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2024
How close are the classical two-body potentials to ab initio calculations? Insights from linear machine learning based force matching

 The Journal of Chemical Physics
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Physics: Atomic physics. Constitution and properties of matter
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Chemistry
 2024
Development of a machine learning finite-range nonlocal density functional

 The Journal of Chemical Physics
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Physics: Atomic physics. Constitution and properties of matter
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Chemistry
 2024
GPAW: An open Python package for electronic structure calculations

 The Journal of Chemical Physics
  • Science: Chemistry: Physical and theoretical chemistry
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 2 2024
Citations Analysis
Category Category Repetition
Science: Chemistry247
Science: Chemistry: Physical and theoretical chemistry224
Science: Physics: Atomic physics. Constitution and properties of matter209
Technology: Chemical technology35
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials27
Science: Physics25
Science: Chemistry: General. Including alchemy5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science5
Technology: Chemical technology: Biotechnology5
Science: Science (General): Cybernetics: Information theory4
Medicine: Therapeutics. Pharmacology3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Science: Chemistry: Organic chemistry1
Science: Chemistry: Analytical chemistry1
Technology: Chemical technology: Polymers and polymer manufacture1
Science: Astronomy1
Science: Physics: Nuclear and particle physics. Atomic energy. Radioactivity1
Science: Physics: Electricity and magnetism: Electricity: Plasma physics. Ionized gases1
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade1
Technology1
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
Science: Mathematics1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
The category Science: Chemistry 247 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Rigorous force field optimization principles based on statistical distance minimization and was published in 2015. The most recent citation comes from a 2024 study titled Global machine learning potentials for molecular crystals. This article reached its peak citation in 2020, with 58 citations. It has been cited in 29 different journals, 34% of which are open access. Among related journals, the The Journal of Chemical Physics cited this research the most, with 200 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year