Machine-Learning-Based Multiscale Modeling of Spatially Tailored Materials via Peridynamics

Text Registration

Machine-Learning-Based Multiscale Modeling of Spatially Tailored Materials via Peridynamics

Status

Published

on 9 Sept 2021

Year of Creation

2021

Ahmed ElTuhami

Registration Number

TX0009012585

on 9 Sept 2021

The U.S. Copyright record (Registration Number: TX0009012585) dated 9 Sept 2021, pertains to an electronic file (eService) titled "Machine-Learning-Based Multiscale Modeling of Spatially Tailored Materials via Peridynamics" created in 2021. The copyright holder is Ahmed ElTuhami, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Ahmed ElTuhami.

Ahmed ElTuhami

Application Details

Registration Number

TX0009012585

Registration Date

9/9/2021

Year of Creation

2021

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Ahmed ElTuhami

Notes

Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Machine-Learning-Based Multiscale Modeling of Spatially Tailored Materials via Peridynamics

Author Statement: Ahmed ElTuhami Citizenship: not known Authorship: text

Notes

Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Machine-Learning-Based Multiscale Modeling of Spatially Tailored Materials via Peridynamics

Author Statement: Ahmed ElTuhami Citizenship: not known Authorship: text

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