Results 51 to 60 of about 88,366 (316)

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

Two extensions of the Dai-Liao method with sufficient descent property based on a penalization scheme

Bulletin of Computational Applied Mathematics, 2016
To achieve the good features of the linear conjugate gradient algorithm in a recent extension of the Dai-Liao method, two adaptive choices for parameter of the extended method are proposed based on a penalization approach.
Masoud Fatemi, Saman Babaie-Kafaki
doaj  

Curved Nanographene–Graphite Hybrid Anodes with Sequential Li+ Insertion for Fast‐Charging and Long‐Life Li‐Ion Batteries

Advanced Functional Materials, EarlyView.
A hybrid anode composed of Cl‐functionalized curved nanographene and graphite enables ultra‐fast charging and long cycle life through an engineered morphology and sequential Li+ insertion. It delivers 100 mAh g−1 at 5 C with 70% capacity retention after 1000 cycles and maintains stable performance over 2000 cycles in pouch cells, providing a practical ...
Hyunji Cha, Minsung Kang, Seung Hak Oh, Jee Ho Ha, Jeongmi Joo, Dae Hyeon Kwon, Sang Kyu Kwak, Seokhoon Ahn, Seok Ju Kang   +8 more
wiley   +1 more source

Single Solid‐State Ion Channels as Potentiometric Nanosensors

Advanced Functional Materials, EarlyView.
Single gold nanopores functionalized with mixed self‐assembled monolayers act as solid‐state ion channels for direct, selective potentiometric sensing of inorganic ions (Ag⁺). The design overcomes key miniaturization barriers of conventional ion‐selective electrodes by combining low resistivity with suppressed loss of active components, enabling robust
Gergely T. Solymosi, Gyula Jágerszki, Levente Illés, Péter Fürjes, Róbert E. Gyurcsányi   +4 more
wiley   +1 more source

Minimal penalty for Goldenshluger–Lepski method

Stochastic Processes and their Applications, 2016
This paper is concerned with adaptive nonparametric estimation using the Goldenshluger-Lepski selection method. This estimator selection method is based on pairwise comparisons between estimators with respect to some loss function. The method also involves a penalty term that typically needs to be large enough in order that the method works (in the ...
Lacour, Claire, Massart, Pascal
openaire   +3 more sources

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

A Novel Nonconvex Penalty Method for a Rank Constrained Matrix Optimization Problem and its Applications

International Journal of Applied Mathematics and Computer Science
The rank constrained nonconvex nonsmooth matrix optimization problem is an important and challenging issue. To solve it, we first design a penalty model in which the penalty term can be expressed as a sum of specific functions defined on smallest ...
Zhang Wenjuan, Yao Jiayi, Xiao Feng, Wang Yuping, Wu Yulian   +4 more
doaj   +1 more source

Does a Morphotropic Phase Boundary Exist in ZrxHf1‐xO2‐Based Thin Films?

Advanced Functional Materials, EarlyView.
This study investigates 6 nm zirconium‐rich hafnium‐zirconium oxide thin–film metal–insulator–metal capacitors using a combination of experimental methods and machine learning–based molecular dynamics simulations to provide insight into the physical mechanisms that enhance the dielectric constant near 0 V and attribute it to the field‐induced ...
Pramoda Vishnumurthy, Richard Ganser, Dong‐Gyu Kim, Intak Jeon, Chang Hwa Jung, Hanjin Lim, Thomas Mikolajick, Susan Trolier‐McKinstry, Alfred Kersch, Uwe Schroeder   +9 more
wiley   +1 more source

A high-order deferred correction method for the solution of free boundary problems using penalty iteration, with an application to American option pricing [PDF]

, 2022
Da‐Wei Wang, Kirill Serkh, Christina christara   +2 more
openalex   +1 more source

Block Copolymers: Emerging Building Blocks for Additive Manufacturing

Advanced Functional Materials, EarlyView.
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson, Hemish B. Thakkar, Jiaen Wu, Emily C. Davidson   +3 more
wiley   +1 more source