Results 151 to 160 of about 63,244 (238)

Ferroelastic writing of crystal directions in oxide thin films. [PDF]

Nat Nanotechnol
Peng W, Meng W, Kim Y, Yoon J, Si L, Zhao K, Dong S, Hou Y, Xi C, Pi L, Singh A, Sanchez AM, Beanland R, Noh TW, Lu Q, Lee D, Alexe M.   +16 more
europepmc   +1 more source

The Fundamental Physics of Shear Bands in Amorphous Solids

, 2012
Ratul Dasgupta, H. G. E. Hentschel, Itamar Procaccia   +2 more
openalex   +1 more source

Phase Characterization of Singular Metasurfaces. [PDF]

ACS Photonics
Tahmi Y, Ansquer M, Coulon PM, Chenot S, Brändli V, Majorel C, Patoux A, Colom R, Wattellier B, Genevet P, Khadir S.   +10 more
europepmc   +1 more source

Physics-informed Neural Networks Enable High Fidelity Shear Wave Viscoelastography across Multiple organs [PDF]

Ziying Yin, Yachen Guo, Jiansu Pu, Yuxuan Jiang, Shiyu Ma, Guo‐Yang Li, Yanping Cao   +6 more
openalex   +1 more source

Coarse-grained fundamental forms for characterizing isometries of trapezoid-based origami metamaterials. [PDF]

Nat Commun
McInerney JP, Misseroni D, Rocklin DZ, Paulino GH, Mao X.   +4 more
europepmc   +1 more source

Cam Design and Pin Defect Detection of Cam Pin Insertion Machine in IGBT Packaging. [PDF]

Micromachines (Basel)
Tian W, Zhang P, Tian M, Chen S, Ji H, Ma B.   +5 more
europepmc   +1 more source

Shear Band-Induced Internal Surface Structures in a Vitreloy Bulk Metallic Glass Deformed by High-Pressure Torsion. [PDF]

Materials (Basel)
Kovács Z, Arjmandabasi T, Erdei G, Schafler E, Révész Á.   +4 more
europepmc   +1 more source

Measured values of physics parameters of rock samples. (Tensile strength: TS. Compressive strength: CS. Mohs hardness: HM. Shear strength: τ, Cohesion: c. Internal friction angle: φ. Elastic modulus: E. Poisson’s ratio: ν. Density: ρ. Porosity: κ).

Wei Jiang (14986), Qingfeng Wang (1356576), Baoyong Yan (22581814), Yang Liu (4829), Shuhan Shi (22581817), Hong Fu (37557)   +5 more
openalex   +1 more source

Study of shear resistance and anisotropy of layered shales. [PDF]

PLoS One
Gao M, Gong B, Liang Z, Jia S, Feng X.
europepmc   +1 more source

Physics‐informed neural networks (PINNs) for high‐resolutional prediction of shear stress on cells in suspension culture [PDF]

Ikki Horiguchi, Keisuke Shima, Yasunori Okano   +2 more
openalex   +1 more source