Results 221 to 230 of about 317,958 (278)

Backbone Heterojunction Photocatalysts for Efficient Sacrificial Hydrogen Production

Advanced Functional Materials, EarlyView.
Herein, a ‘single‐component’ organic semiconductor photocatalyst is presented in which a molecular donor is bonded to a polymer acceptor. The resultant material demonstrates exceptional photocatalytic activity for hydrogen evolution in aqueous triethylamine with an outstanding external quantum efficiency of 38% at 420 nm.
Richard J. Lyons, Rhys J. Bourhill, Ewan McQueen, Sam D. Harding, Krzysztof Pawlak, Thomas Fellowes, Harry W. Capps, Alexander J. Cowan, Andrew I. Cooper, Adrian M. Gardner, Martijn A. Zwijnenburg, Reiner Sebastian Sprick   +11 more
wiley   +1 more source

Effective Behaviour of Critical-Contrast PDEs: Micro-Resonances, Frequency Conversion, and Time Dispersive Properties. II. [PDF]

Commun Math Phys
Cherednichenko K, Kiselev AV, Velčić I, Žubrinić J.   +3 more
europepmc   +1 more source

Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn

Advanced Functional Materials, EarlyView.
Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed, Arnab Bhattacharya, Prashant Singh, Ajay Kumar, Tukai Singha, Anis Biswas, Yaroslav Mudryk, I. Das   +7 more
wiley   +1 more source

Financial awareness and business development cognition positively influence the sustainable development of rural family businesses. [PDF]

Front Sociol
Xingpeng Z, Tham J, Khatibi A.
europepmc   +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

On the Modeling of Nonlinear Wind-Induced Ice-Drift Ocean Currents at the North Pole. [PDF]

J Math Fluid Mech
Puntini C.
europepmc   +1 more source

Bio‐Friendly Artificial Muscles Based on Carbon Nanotube Yarns and Eutectogel Derivatives

Advanced Functional Materials, EarlyView.
Solid‐state artificial muscles based on coiled commercial carbon nanotube yarns coated with eutectogel derivatives exhibit unipolar actuation through selective ion intercalation. Combining polyanionic and polycationic gels enables enhanced contractile stroke and high energy density.
Gabriela Ananieva, Cédric Vancaeyzeele, Giao T.M. Nguyen, Daniel Aguilera‐Bulla, Mathieu Pinault, Frédéric Vidal, Cédric Plesse   +6 more
wiley   +1 more source

Intelligent decision-making framework for selecting optimized substitution boxes in modern block cipher design. [PDF]

Sci Rep
Khan M.
europepmc   +1 more source

Expanding Chemical Space of Nucleic Acid Nanoparticles for Tunable Antiviral‐Like Immunomodulatory Responses and Potent Adjuvant Activity

Advanced Functional Materials, EarlyView.
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj, Hannah S. Newton, Jian Wang, Laxmi Pandey, Yelixza I. Avilla, Phong Nguyen, Morgan Chandler, Justin Halman, Yasmine Radwan, Stephanie Smith, Elijah Edmondson, Simone Difilippantonio, Chelsea Sanders, Bao Tran, Yongmei Zhao, Shaojun Xie, Edward Cedrone, Barry W. Neun, Meni Wanunu, Nikolay V. Dokholyan, Marina A. Dobrovolskaia, Kirill A. Afonin   +21 more
wiley   +1 more source

Efficient quantum thermal simulation. [PDF]

Nature
Chen CF, Kastoryano M, Brandão FGSL, Gilyén A.   +3 more
europepmc   +1 more source