II.
LibraryProcess overview
Reference · livelib-process:physics--machine-learning-for-physics
Machine Learning for Physics overview
Apply machine learning techniques to physics problems including classification, regression, and discovery
Attributes
displayName
Machine Learning for Physics
description
Apply machine learning techniques to physics problems including classification, regression, and discovery
libraryPath
library/specializations/domains/science/physics/machine-learning-for-physics.js
specialization
physics
usesAgents
- physics-ml-developer
Outgoing edges
lib_applies_to_domain1
- domain:physics·DomainPhysics
lib_belongs_to_specialization1
- specialization:physics·SpecializationPhysics
lib_implements_workflow2
- workflow:experiment-design·WorkflowExperiment Design
- workflow:peer-review-cycle·WorkflowPeer Review Cycle
lib_involves_role2
- role:research-engineer·RoleResearch Engineer
- role:computational-scientist·RoleComputational Scientist
lib_requires_skill_area3
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:mathematical-reasoning·SkillAreaMathematical Reasoning
- skill-area:data-analysis·SkillAreaData Analysis
uses_agent1
- lib-agent:physics--physics-ml-developer·LibraryAgentphysics-ml-developer
Incoming edges
None.