Results 141 to 150 of about 126,068 (298)

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

In Situ Amine Formation to Modulate MOF‐Derived PdIn N‐Doped Carbon Catalysts

Advanced Materials, EarlyView.
An amine‐assisted approach converts PdIn‐MOF into PdIn intermetallic nanoparticles embedded in N‐doped carbon. In situ‐generated amines trigger early Pd nucleation, producing smaller PdIn domains than direct pyrolysis. Amine sterics and basicity tune composition and particle size, while solvent and amine co‐determine textural features.
Gonzalo Egea, Jordan Santiago Martinez, M. Asunción Molina, Jaime Mazarío, Lucy Costley‐Wood, Christian Cerezo‐Navarrete, Carlo Marini, Eduardo Villalobos‐Portillo, Andrew M. Beale, Pascual Oña‐Burgos   +9 more
wiley   +1 more source

Evidence for Itinerant Ferromagnetic Flat Bands Producing Large Transverse Responses

Advanced Materials, EarlyView.
Itinerant ferromagnetic flat bands are demonstrated in GdCo5 with a high Curie temperature of 940K, a stacked honeycomb–kagome lattice, through angle‐resolved photoemission spectroscopy and magneto‐thermoelectric measurements. These topological flat bands generate large Berry curvaturte, producing gigantic anomalous Nernst effect with record‐high ...
Susumu Minami, Yangming Wang, Seigo Souma, Hiroto Nakamura, Akito Sakai, Takumi Osumi, Hang Su, Hikaru Watanabe, Shun'ichiro Kurosawa, Rikuto Oiwa, Daisuke Nishio‐Hamane, Kosuke Nakayama, Takuya Nomoto, Ryotaro Arita, Takafumi Sato, Satoru Nakatsuji   +15 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Predicting Hardwood Porosity Domains: Toward Cascading Computer-Vision Wood Identification Models

BioResources
Prior work on computer-vision wood identification (CVWID) for North American hardwoods yielded two independent deep learning models – a  22-class model for diffuse-porous woods and a 17-class model for ring-porous woods – but did not address semi-ring ...
Frank C. Owens, Prabu Ravindran, Adriana Costa, Rubin Shmulsky, Alex Wiedenhoeft   +4 more
doaj  

Viral Infection‐Inspired Autonomous Detection of Fusion‐Competent Viruses for Screening and Environmental Surveillance

Advanced Materials, EarlyView.
Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park, Yidam Song, Hyun‐Woo Choi, Jaeuk Sung, Harin Jin, WonSeok Gwak, Kirim Yoo, Soohwang Lee, Jongeon Park, Jeongmin Kim, Hye‐Jun Jo, Jahyun Koo, Youngdo Jeong, Kwan Hyi Lee, Seung‐Jung Kee, Hojun Kim   +15 more
wiley   +1 more source

Macroscopic Anatomy as a Strategy for Recognizing Commercial Wood from the Brazilian Amazon

BioResources
Wood anatomical characterization is a key method for species identification and for combating illegal logging. This study aimed to provide a detailed macroscopic anatomical characterization of twelve wood species from the Brazilian Amazon, supporting ...
Waldelaine R. Hoffmann, Camila M. Campos, Michelly C. Stragliotto, Aylson C. Oliveira, Bárbara L. C. Pereira   +4 more
doaj  

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Review of the Current State of Application of Wood Defect Recognition Technology

BioResources
Wood utilisation is an important factor affecting production costs, but the combined utilisation rate of wood is generally only 50 to 70%. During the production process, the rejection scheme of wood defects is one of the most important factors affecting ...
Yutang Chen, Chengshuo Sun, Zirui Ren, Bin Na   +3 more
doaj   +2 more sources

Self‐Seeded Nucleation of PET in a Benign Solvent Yields a High Modulus Aerogel With Ultra‐Low Thermal Conductivity

Advanced Materials, EarlyView.
A new benign solvent (1,3‐diphenylacetone) enables a simple, safe, and sustainable dissolution and gelation method to convert waste PET into low density, monolithic aerogels with high mechanical strength (E = 20 MPa) and remarkably low thermal conductivity (k = 21.9 to 28.9 mW/m·K).
Kira R. Baugh, Garrett F. Godshall, Glenn A. Spiering, Isabela Trindade Coutinho, Alejandro A. Rodriguez, Katherine J. Wood, Aiyana Gonzalez‐Arellano, Sadeq Malakooti, Stephanie L. Vivod, Robert B. Moore   +9 more
wiley   +1 more source