Results 221 to 230 of about 451,817 (286)

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

Author Correction: Evaluation of tribological parameters for boron carbide and graphite infused aluminium hybrid composite fabricated by stir casting technique. [PDF]

Sci Rep
Thakur A, Murtaza Q, Ahmed J, Choon Kit C, Prakash C, Khanna V, Jasrotia R, Sillanpää M, Ramya M, Liu LWY.   +9 more
europepmc   +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

Investigating the impact of drill material on hole quality in jute/palm fiber reinforced hybrid composite drilling with uncertainty analysis. [PDF]

Heliyon
Slamani M, Elhadi A, Amroune S, Arslane M, Jomaa W, Fouad H, Chatelain JF, Jawaid M.   +7 more
europepmc   +1 more source

Evaluation of the Characteristics of Nano Hybrid Composite Resin Modified with Graphene after Thermomechanical Loading Cycle.

J Pharm Bioallied Sci, 2023
Basheer SM, Ismail PMS, Patil DB, Kavitha G, Manjooran ST, Vasudevan H, Mohammed A.   +6 more
europepmc   +1 more source

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

A nanotrap infused ultrathin hybrid composite material for rapid and highly selective entrapment of ⁹⁹TcO₄. [PDF]

Chem Sci
Mandal W, Fajal S, Majumder D, Sengupta A, Let S, Urkude RR, Shirolkar MM, Torris A, Ghosh SK.   +8 more
europepmc   +1 more source

Covalent Organic Frameworks for Water Sorption: The Importance of Framework Physical Stability

Advanced Functional Materials, EarlyView.
This study explores the water‐vapor stability of 2D covalent organic frameworks (COFs) with varying pore sizes. Results reveal microporous COFs demonstrate superior stability compared to mesoporous ones, despite lower water uptake. Mesoporous keto‐enamine‐linked COFs show enhanced stability due to intralayer hydrogen bonds, confirmed by simulations and
Wei Zhao, He Li, Bui Duc Thuan, Weidong Chen, Qiang Zhu, Mounib Bahri, Boyu Li, Kexin Yu, Chengjun Kang, Ting Chen, Zekun Wang, Nigel D. Browning, Kian Jon Chua, Dan Zhao   +13 more
wiley   +1 more source

Characterisation and Application of Bio-Inspired Hybrid Composite Sensors for Detecting Barely Visible Damage under Out-of-Plane Loadings. [PDF]

Sensors (Basel)
Tabatabaeian A, Mohammadi R, Harrison P, Fotouhi M.   +3 more
europepmc   +1 more source

Light‐Responsive Enzyme‐Loaded Nanoparticles for Tunable Adhesion and Mechanical Wound Contraction

Advanced Functional Materials, EarlyView.
This study presents a photoactivatable enzyme‐loaded mesoporous nanoparticle system (MPDA_PaTy) that enables light‐triggered tunable tissue adhesion and facilitates mechanical wound contraction. Controlled enzymatic crosslinking at tissue or hydrogel interfaces allows on‐demand adhesion.
Junghyeon Ko, Hyeon‐Jin Kim, Jeong‐Uk Kim, Seh Ri Oh, Tae Hoon Kang, Junghwan Byun, Uk‐Jae Lee, Minglin Ma, Su‐Hwan Kim, Byung‐Gee Kim, Nathaniel S. Hwang   +10 more
wiley   +1 more source