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Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Engineering Metamaterials for Civil Infrastructure: From Acoustic Performance to Programmable Mechanical Responses. [PDF]
Materials (Basel)Wang H, Zhao S, Xu C, Sun K, Fan R.
europepmc +1 more source
Mapping urban soundscape patterns using user-generated content: A place model approach to acoustic environment perception. [PDF]
PLoS OneLee H, Kim Y.
europepmc +1 more source
Postoccupancy Evaluation of a New Hospital: The Relationship With Work Engagement. [PDF]
HERDPetäjä H +4 more
europepmc +1 more source
MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model. [PDF]
Proc IEEE Int Conf Acoust Speech Signal ProcessChand JR, Jacob M.
europepmc +1 more source
Exploring the Impact of the Emergency Department Built Environment on Physician Workplace Stress: A Qualitative Study Utilizing High-Fidelity Virtual Reality. [PDF]
J Am Coll Emerg Physicians OpenFields JM +12 more
europepmc +1 more source
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