# Multiple-input operators with OperatorLearning.jl

**URL:** <https://discourse.julialang.org/t/multiple-input-operators-with-operatorlearning-jl/96678>\
**Category:** Machine Learning\
**Tags:** flux, sciml\
**Created:** [March 27, 2023, 8:38pm UTC](https://discourse.julialang.org/t/multiple-input-operators-with-operatorlearning-jl/96678 "2023-03-27T20:38:06Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![kaido975](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/kaido975/32/36862_2.png) [@kaido975](https://discourse.julialang.org/u/kaido975)\
**Post date:** [March 27, 2023, 8:38pm UTC](https://discourse.julialang.org/t/multiple-input-operators-with-operatorlearning-jl/96678/1 "2023-03-27T20:38:06Z")

</div>

Is it possible to define a multiple-input operators ([[2202.06137] MIONet: Learning multiple-input operators via tensor product](https://arxiv.org/abs/2202.06137)) to construct a network of the form (branch1, branch2, branch3…, trunk) using OperatorLearning.jl?
