Results 181 to 190 of about 850,606 (316)

Research on Discrete Element Construction and Parameter Calibration of Agglomerated Particles in Moist-Mix Shotcrete

Pengcheng Li, Lianjun Chen, Gang Pan, Siyuan Zhang, Rongmin Zhang   +4 more
openalex   +1 more source

Calibration Method of Visual Parameters for See-Through Head-Mounted Display.

, 1994
Takashi Oishi, Susumu Tachi
openalex   +2 more sources

Calibration of cohesive parameters for a castable refractory using 4D tomographic data and realistic crack path from in-situ wedge splitting test

, 2022
R. Vargas, Rodrigo Bresciani Canto, Benjamin Smaniotto, François Hild   +3 more
openalex   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Parameter calibration for discrete element simulation of Leymus chinensis seeds based on RSM optimization. [PDF]

Sci Rep
Yang L, Chen W, Kan Z, Meng H, Qi J.
europepmc   +1 more source

A Method for Extrinsic Parameter Calibration of Rotating Binocular Stereo Vision Using a Single Feature Point. [PDF]

Sensors (Basel), 2018
Wang Y, Wang X, Wan Z, Zhang J.
europepmc   +1 more source

Micro-parameter calibration of layered rock samples with a dual model in PFC3D based on a combined optimization method [PDF]

Chengyuan Ding, Shuangying Zuo, Zhonghao Ye   +2 more
openalex   +1 more source

Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes

Advanced Functional Materials, EarlyView.
This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin, Wenhao Wang, Thomas Caiwei Tan, Abhishek Kumar, Ridong Jia, Nikhil Navaratna, Ranjan Singh, Lijuan Xie   +7 more
wiley   +1 more source

Research on coal rock parameter calibration based on discrete element method. [PDF]

Sci Rep
Wang Y, Lin G, Liu X, Zhao L, Jia B, Wang Y, He J.   +6 more
europepmc   +1 more source

Thermal Phase‐Modulation of Thickness‐Dependent CVD‐Grown 2D In2Se3

Advanced Functional Materials, EarlyView.
A comprehensive study of CVD‐grown 2D In2Se3 reveals a distinct thickness‐dependent phase landscape and a reversible, thermally driven transformation between β″ and β* variants. In situ TEM electron diffraction and Raman spectroscopy reveal structural dynamics, while the structural invariance of the α‐phase in ultrathin regimes highlights its stability—
Dasun P. W. Guruge, Zhenhuan Chen, Joseph F. S. Fernando, Chao Zhang, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +6 more
wiley   +1 more source