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Deep Learning‐Assisted Design of Mechanical Metamaterials
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
Ten simple rules for running a virtual program to introduce computational biology at the high school level. [PDF]
Osuga H +4 more
europepmc +1 more source
Facial Expression and Predicting and Monitoring Response to Depression Treatment: A Systematic Review. [PDF]
Plevin D +4 more
europepmc +1 more source
Stress-induced nucleolar rejuvenation via chaperone-mediated segregation in a filamentous fungus. [PDF]
Rogers AM +3 more
europepmc +1 more source
Evaluating actual use of outdoor exercise equipment in a community park in Southern California through video-captured behavioral assessment. [PDF]
Sami M, Macridis S, Ogunseitan OA.
europepmc +1 more source
Development and evaluation of a computer vision algorithm for quantification of children's microactivities. [PDF]
Lupolt SN +15 more
europepmc +1 more source

