Results 241 to 250 of about 30,178,222 (369)

Variational Iteration Method for Solving HIV/AIDS Epidemic Model [PDF]

, 2019
E P Okperhie, Festus Abiodun Oguntolu, O.B. Akinduko, Michael Oyelami Ajisope, Olugbade E. Faniyi   +4 more
openalex  

Investigating Experimental Short Term Imprint Dynamics in Ferroelectric Hafnium Oxide Through Phase‐Field Modeling

Advanced Functional Materials, EarlyView.
Phase‐field modeling reveals the mechanisms behind short‐term ferroelectric imprint in Hf0.5Zr0.5O2 polycrystalline thin films. Combined with a charge trapping model, the proposed framework accurately reproduces coercive field shifts with pause time and their recovery through field cycling in polarization‐voltage measurements, offering valuable ...
Kévin Alhada‐Lahbabi, Benoit Manchon, Grégoire Magagnin, Chiara Lepri, Sara Gonzalez, Ingrid Cañero Infante, Martine Le Berre, Bertrand Vilquin, Jordan Bouaziz, Brice Gautier, Damien Deleruyelle   +10 more
wiley   +1 more source

Applications of normal S-iterative method to a nonlinear integral equation. [PDF]

ScientificWorldJournal, 2014
Gürsoy F.
europepmc   +1 more source

General methods for monitoring convergence of iterative simulations

, 1998
P. Stephen, Brooks, Andrew, Gelman
semanticscholar   +1 more source

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

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

An iterative method for problems with multiscale conductivity. [PDF]

Comput Math Methods Med, 2012
Kim HH, Minhas AS, Woo EJ.
europepmc   +1 more source

Electron Compensation Enhanced Triboelectric Sensor Assisted by Machine Learning for Tactile Perception Recognition

Advanced Functional Materials, EarlyView.
Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo, Wei Wang, Hong Zhao, Ruiqin Zhang, Walid A. Daoud   +4 more
wiley   +1 more source

Siloxane‐Functionalized Silicon Phthalocyanine OTFTs: High Hole Mobility and Unexpected p‐Type Character

Advanced Functional Materials, EarlyView.
In this paper, the first use of a siloxane‐substituted silicon phthalocyanine (iso(Si3O)2SiPc) in OTFTs is reported. Moreover, this compound displays the highest hole mobility (exceeding 1 cm2 V−1 s−1) ever recorded for SiPc, and the GIWAXS study reveals thin films with an exceptionally uniform crystalline texture.
Nicolas Ledos, Halynne R. Lamontagne, Joseph Manion, Frédéric Castet, Benoît H. Lessard, Jaclyn L. Brusso   +5 more
wiley   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source