Results 151 to 160 of about 559 (167)

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, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Kelowna Courier [PDF]

, 1922

core  

Cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2019

Ca-A Cancer Journal for Clinicians, 2019
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal Dvm   +2 more
exaly  

Colorectal cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller, Stacey A Fedewa   +2 more
exaly  

Cancer statistics, 2018

Ca-A Cancer Journal for Clinicians, 2018
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal Dvm   +2 more
exaly  

Cancer statistics in China, 2015

Ca-A Cancer Journal for Clinicians, 2016
Rongshou Zheng, Peter D Baade, Siwei Zhang   +2 more
exaly  

Cancer statistics, 2016

Ca-A Cancer Journal for Clinicians, 2016
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2017

Ca-A Cancer Journal for Clinicians, 2017
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2015

Ca-A Cancer Journal for Clinicians, 2015
Rebecca L Siegel
exaly