Results 221 to 230 of about 44,444 (264)

Synthesis and Characterization of CNC/CNF/rGO Composite Films for Advanced Functional Applications. [PDF]

Micromachines (Basel)
Ramezani G, Stiharu I, van de Ven TGM, Ramezani H, Nerguizian V.   +4 more
europepmc   +1 more source

Low‐Field Giant Dielectric Tunability by Polaron‐Mediated Interfacial Polarization in Pulsed‐Laser‐Deposited‐Nanocrystalline/Amorphous Composite BaTiO3 Thin Films

Advanced Electronic Materials, EarlyView.
Comparison of tunability efficiency between vacuum‐deposited PLD‐BTO films grown at Td = 550°C in the present study and representative previous reports. ABSTRACT Electrically tunable dielectric thin films are essential components for next‐generation low‐voltage electronic devices.
Shinya Kondo, Taichi Murakami, Loick Pichon, Joël Leblanc‐Lavoie, Takashi Teranishi, Akira Kishimoto, Tomoaki Yamada, My Ali El Khakani   +7 more
wiley   +1 more source

Evaluating Large Language Models for Decision Support in Minimally Invasive Spine Surgery Triage and Procedural Categories. [PDF]

Global Spine J
Kartal A, Manalil NF, Cheng CD, Chung LK, Gebhard H, Greenberg M, Härtl R, Elsayed GA.   +7 more
europepmc   +1 more source

Drift Reduction in 2D PtSe2 Piezoresistive Pressure Sensors Through an On‐Chip Wheatstone Bridge

Advanced Electronic Materials, EarlyView.
Drift is a major source of error affecting the accuracy and repeatability of sensors. A Wheatstone bridge (WSB) enables high sensitivity, accuracy, and the elimination of common‐mode drift. We apply the WSB concept to highly sensitive piezoresistive pressure sensors made with two‐dimensional layered platinum diselenide transducers.
Ragini Gupta, Sebastian Lukas, Nico Rademacher, Michael Gross, Nikolas Dominik, Georg S. Duesberg, Max C. Lemme   +6 more
wiley   +1 more source

An Electrohydrodynamic Phase-Field Model for Contact Angle Hysteresis in Electrowetting Pixels: Decoupling Physical Pinning and Charge Trapping. [PDF]

Micromachines (Basel)
Lu Q, Wang L, Li F, Yang Y, Liu Q, Wang X, Chi F, Liu L, Yi Z.   +8 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Density-functional tight binding meets Maxwell: unraveling the mysteries of (strong) light-matter coupling efficiently. [PDF]

Nanophotonics
Sidler D, Bustamante CM, Bonafé FP, Ruggenthaler M, Sukharev M, Rubio A.   +5 more
europepmc   +1 more source

Nonlinear viscoelastic models improve characterisation of 6 DOF intervertebral disc load response at low strain rates. [PDF]

Proc Inst Mech Eng H
Hayward S, Keogh PS, Miles AW, Gheduzzi S.   +3 more
europepmc   +1 more source

Correction: SSNdesign-An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks. [PDF]

PLoS One
Pearse AR, McGree JM, Som NA, Leigh C, Maxwell P, Ver Hoef JM, Peterson EE.   +6 more
europepmc   +1 more source