Results 151 to 160 of about 135,445 (331)

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

Grain Refinement of Inconel 718 Superalloy-The Effect of Rotating Magnetic Field. [PDF]

Materials (Basel), 2022
Silva RP, Soares R, Neto R, Reis A, Paiva R, Madureira R, Silva J.   +6 more
europepmc   +1 more source

Grain Refinement of Ti Alloy by Hydrogenation Treatment Using SPS Method

, 2003
Tetuya KASAMATU, Kunio Funami, Hiroshi Miyata, Masakazu Kobayashi   +3 more
openalex   +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

Study on the grain refinement mechanism of Mg-Al alloy based on carbon addition. [PDF]

PLoS One, 2022
Sun L, Gao Z, Hu Z, Chen H, Cai J, Cai X.   +5 more
europepmc   +1 more source

An effective Coarse‐grained model for biological simulations: Recent refinements and validations

, 2013
Spyridon Vicatos, Anna Rychkova, Shayantani Mukherjee, Arieh Warshel   +3 more
openalex   +2 more sources

The Realization of Multidirectional, Free‐Standing 3D Plasmonic Nanostructures via 3D Nanoprinting: A Case Study of Fractal Antennas

Advanced Functional Materials, EarlyView.
Free‐standing plasmonic gold‐based fractal antennas are fabricated by 3D nanoprinting, employing focused electron beam induced deposition and an optimized purification method to remove carbon while conserving structural fidelity. Simulation and experiment show broadband plasmonic activity, including customizable polarizability, thereby paving the way ...
Verena Reisecker, Robert Winkler, Ulrich Hohenester, Evelin Fisslthaler, Daniel Knez, Gerald Kothleitner, Georg Haberfehlner   +6 more
wiley   +1 more source

Investigation on the Atomic Mechanism for Grain Refinement of Magnesium Alloys by Mg-Zr Master Alloy. [PDF]

Materials (Basel), 2022
Zhang A, Li J, Li F, Su G.
europepmc   +1 more source

Ultra-Fine Grain Refinement of Titanium Materials by Hydrogen Treatment

, 2006
Jun Nakahigashi, Kosuke Takahata, Kentaro Tsuru, Terufumi Sumimoto, Hirofumi Yoshimura, Hiroyuki Horimura   +5 more
openalex   +2 more sources

Ultrahigh Strength with Suppressed Flow Instability at Liquid Helium Temperature via Coherent Nanoprecipitation in a Medium‐Entropy Alloy

Advanced Functional Materials, EarlyView.
It is demonstrated that severe lattice distortion and coherent nanoprecipitates overcome the strength–ductility dilemma and mitigate discontinuous plastic flow (DPF) at 4.2 K. Such microstructural design enhances both thermal and athermal stress components, leading to exceptional mechanical performance.
Min Young Sung, Tae Jin Jang, Sang Yoon Song, Chang‐Gi Lee, Jun Ho Lee, Young‐Kyun Kim, Sang‐Ho Oh, Byeong‐Joo Lee, Alireza Zargaran, Se‐Ho Kim, Young‐Sang Na, Seok Su Sohn   +11 more
wiley   +1 more source