II.
LibrarySkill overview
Reference · livelib-skill:physics--tensorflow-physics-ml
tensorflow-physics-ml overview
TensorFlow machine learning skill specialized for physics applications including neural network potentials and surrogate models
Attributes
displayName
tensorflow-physics-ml
description
TensorFlow machine learning skill specialized for physics applications including neural network potentials and surrogate models
libraryPath
library/specializations/domains/science/physics/skills/tensorflow-physics-ml/SKILL.md
specialization
physics
contentSummary
# TensorFlow Physics ML
## Purpose
Provides expert guidance on TensorFlow for physics applications, including physics-informed neural networks and neural network potentials.
## Capabilities
- Physics-informed neural networks (PINNs)
- Neural network potentials (NNP)
- Normalizing flows
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-scientist·RoleResearch Scientist
- role:ml-engineer·RoleMachine Learning Engineer
lib_requires_skill_area3
- skill-area:machine-learning-frameworks·SkillAreaMachine Learning Frameworks
- skill-area:physics-simulation·SkillAreaPhysics Simulation
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
Incoming edges
None.