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.