Optimal Control of Material Microstructures-Reference-Cited by-同舟云学术

Optimal Control of Material Microstructures

Published:2024-08-24 Issue:6 Volume:146 Page:
ISSN:0022-0434
Container-title:Journal of Dynamic Systems, Measurement, and Control
language:en
Short-container-title:

Author:

Sharma Aayushman¹²,Mao Zirui³⁴,Yang Haiying⁵²,Chakravorty Suman¹,Demkowicz Michael J.⁵²,Kalathil Dileep⁶²

Affiliation:

1. Department of Aerospace Engineering, Texas A&M University , College Station, TX 77840

2. Texas A&M University

3. Physical & Computational Sciences Directorate, Pacific Northwest National Laboratory , Richland, WA 99354

4. Pacific Northwest National Laboratory

5. Department of Materials Science and Engineering, Texas A&M University , College Station, TX 77840

6. Department of Electrical and Computer Engineering, Texas A&M University , College Station, TX 77840

Abstract

Abstract In this paper, we consider the optimal control of material microstructures. Such material microstructures are modeled by the so-called phase-field model. We study the underlying physical structure of the model and propose a data-based approach for its optimal control, along with a comparison to the control using a state-of-the-art reinforcement learning (RL) algorithm. Simulation results show the feasibility of optimally controlling such microstructures to attain desired material properties and complex target microstructures.

Funder

Division of Materials Research

Publisher

ASME International

Link

https://asmedigitalcollection.asme.org/dynamicsystems/article-pdf/146/6/061109/7367991/ds_146_06_061109.pdf

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