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Everything about Computer experiment
Experiment used to study computer simulation
A computer experiment or simulation experiment is an experiment used to study a computer simulation, also referred to as an in silico system. This area includes computational physics, computational chemistry, computational biology and other similar disciplines. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Computer experimentA 5-minute orientation
- Skim a recent paper: Human-Computer Interaction in Customer Service: The Experience with AI Chatbots—A Systematic Literature ReviewInfluential work since 2022
- Pick up a classic book: 100 science experimentsThe most-reprinted book on the subject
- Read the landmark paper: Computer "Experiments" on Classical Fluids. I. Thermodynamical Properties of Lennard-Jones MoleculesCited 8,859 times
- Go sideways: Uncertainty quantificationA closely related topic
- Go sideways: Gradient-enhanced krigingA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Computer "Experiments" on Classical Fluids. I. Thermodynamical Properties of Lennard-Jones Molecules
MAPMAKER: An interactive computer package for constructing primary genetic linkage maps of experimental and natural populations
Design and Analysis of Computer Experiments
Computer Aided Design of Experiments
🆕 Influential since 2022
Human-Computer Interaction in Customer Service: The Experience with AI Chatbots—A Systematic Literature Review
Computer Science Education in ChatGPT Era: Experiences from an Experiment in a Programming Course for Novice Programmers
Keeping an “eye” on the experiment: computer vision for real-time monitoring and control
Computer Simulation of Polymers: Bridging the Gap between Theory and Experiment
The role of students’ interests during computer-assisted learning: A field experiment
📚 Books worth reading
100 science experimentsGeorgina Andrews, Kate Knighton · 2005
Network science, a decade laterAlan Feldman, Cliff Konold · 1999
Life 3.0Max Tegmark · 2017
The routines of decision makingTilmann Betsch · 2005
Optimal design of experimentsPeter Goos · 2011- 📕Programming Behavioral Experiments with MATLAB and PsychtoolboxErman Misirlisoy · 2016
Experiments And Demonstrations in PhysicsYaakov Kraftmakher · 2006
Lost in mathSabine Hossenfelder · 2018
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Uncertainty quantification Uncertainty Quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world application…
- Gradient-enhanced kriging Gradient-enhanced kriging (GEK) is a surrogate modeling technique used in engineering. A surrogate model (alternatively known as a metamodel, response…
- Bayesian quadrature Bayesian quadrature is a method for approximating intractable integration problems. It falls within the class of probabilistic numerical methods. Bayesian…
- Bayesian interpretation of kernel regularization Bayesian interpretation of kernel regularization examines how kernel methods in machine learning can be understood through the lens of Bayesian statistics…
- Bayesian optimization Bayesian optimization is a sequential model-based strategy for global optimization of black-box objective functions whose evaluations are costly. It is…
- Probabilistic numerics Probabilistic numerics is an active field of study at the intersection of applied mathematics, statistics, and machine learning centering on the concept…
- Gaussian process emulator In statistics, Gaussian process emulator is one name for a general type of statistical model that has been used in contexts where the problem is to make…
- Kriging In statistics, originally in geostatistics, kriging or Kriging (/ˈkriːɡɪŋ/), also known as Gaussian process regression, is a method of interpolation based…