Results 201 to 210 of about 54,636 (287)

High Entropy Wide‐Bandgap Borates with Broadband Luminescence and Large Nonlinear Optical properties

Advanced Functional Materials, EarlyView.
High‐entropy rare‐earth borates exhibit excellent nonlinear optical and broadband luminescence properties arising from multi‐component doping, chemical disorder, increased configurational entropy, and increased lattice and electronic anharmonicity. This formulation enabled us to obtain a large, environmentally stable single crystal with 3X higher laser‐
Saugata Sarker, Yu Wang, Yongwen Sun, Caeli Benyacko, Saeed S.I. Almishal, Tao Zhou, Zhiyu Zhang, Jadupati Nag, Himirkanti Sarkar, Jeffrey Shallenberger, Hemant Yennawar, Yang Yang, Jon‐Paul Maria, Zhiqiang Mao, Venkatraman Gopalan   +14 more
wiley   +1 more source

Towards Pragmatist Thermodynamics: An Essay on the Natural Philosophy of Entropy and Sustainability. [PDF]

Entropy (Basel)
Herrmann-Pillath C.
europepmc   +1 more source

Selective Separation of the Rare Earth Elements Dysprosium and Neodymium via Tailoring Nanocellulose Chemical Structure

Advanced Functional Materials, EarlyView.
Dicarboxylate‐modified anionic hairy cellulose nanocrystals exhibit a high selectivity for dysprosium(III) over neodymium(III). This selectivity arises from disordered dicarboxylate cellulose “hairs” that enable cooperative ionic coordination, hydrogen bonding, and strain‐induced conformational shrinkage.
Roya Koshani, Shang‐Lin Yeh, Karuna Anna Sajeevan, Mica L. Pitcher, Dawson Alexander, Ratul Chowdhury, Amir Sheikhi   +6 more
wiley   +1 more source

Joint energy-aware task offloading and privacy protection in healthcare monitoring systems via deep reinforcement learning. [PDF]

Sci Rep
Zhang J, Hu Y, Shao M, Li X.
europepmc   +1 more source

Imaging of Biphoton States: Fundamentals and Applications

Advanced Functional Materials, EarlyView.
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley   +1 more source

Enhancing recommendation diversity and accuracy with product paths and time decay mechanisms. [PDF]

PLoS One
Wang X, Ming W, Fu Z, Ma X.
europepmc   +1 more source

Dual‐Interface‐Dominant Cathode Architectures Enabling Fast Sulfur Redox and Stable Interfaces in All‐Solid‐State Li‐S Batteries

Advanced Functional Materials, EarlyView.
An optimized carbon host nanostructure enables a dual‐interface‐dominant architecture in sulfur cathodes of solid‐state Li‐S batteries by selectively forming sulfur|carbon and sulfur|solid electrolyte interfaces. This tailored interfacial configuration accelerates sulfur redox kinetics by establishing enriched Li+/e– transport networks, while ...
Zhao Yang, Yuxiao Zhang, Yihong Liu, Geng Xie, Yu Dou, Jeremy Dawkins, Lijia Liu, Yixiang Wang, Lingzi Sang, Mohsen Shakouri, Sixu Deng, Karim Zaghib, Tsun‐Kong Sham, Xia Li   +13 more
wiley   +1 more source

Allosteric Conformational Locking of Sestrin2 by Leucine: An Integrated Computational Analysis of Branched-Chain Amino Acid Recognition and Specificity. [PDF]

Molecules
Zahid MA, Khan A, Sawali MA, Mohamed OA, Gharaibeh AM, Agouni A.   +5 more
europepmc   +1 more source

VIVID: A qPCR‐Based Platform for Sensitive and Quantitative In Vivo Tracking of Extracellular Vesicles

Advanced Functional Materials, EarlyView.
This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian, Talin Ebrahimian, Jonathan Miranda O'Connor, Janusz Rak, Stephanie Lehoux, Maryam Tabrizian   +5 more
wiley   +1 more source

Minimization of outage probability and energy consumption by deep learning-based prediction in D2D mm wave communication. [PDF]

Sci Rep
Bilal NM, Velmurugan T.
europepmc   +1 more source