Results 201 to 210 of about 218,844 (266)

Hydrophobic MFI‐Type Zeolites via Alkali‐Cation‐Induced Defect Healing: Implications for Adsorbent and Catalyst Design

Advanced Materials, EarlyView.
Sub‐stoichiometric amounts of Na+ or K+ enhance defect healing during Silicalite‐1 (MFI) and TS‐1 calcination by promoting Si–O–Si annealing and healing framework vacancies. The resulting defect‐free zeolites are more hydrophobic and show improved butanol/water separation and improved activity and selectivity in the epoxidation of 1‐hexene, offering a ...
Christos Kanteler, Pau Ferri, Francisco Javier Escobar‐Bedia, Álvaro Mayoral, Alejandro Vidal‐Moya, Richard Kendra, Chen Lei, Miguel Palomino, Fernando Rey, Lukáš Grajciar, Christopher James Heard, Pedro Serna, Mercedes Boronat, Cristina Martínez, Manuel Moliner   +14 more
wiley   +1 more source

Poliomyelitis dynamics with fractional order derivatives and deep neural networks. [PDF]

Sci Rep
Al-Quran A, Shafqat R, Alsaadi A, Djaouti AM.   +3 more
europepmc   +1 more source

Metal Oxide Nano‐Interface Boosting the Deep Ultraviolet Adjustable Noise‐Filtering In‐Sensor Computing

Advanced Materials, EarlyView.
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju, Peng Li, Jingsong Yuan, Boyuan Yu, Bin Han, Yusheng Chen, Jiangang Ma, Haiyang Xu, Yichun Liu, Paolo Samorì   +9 more
wiley   +1 more source

Simulating a Specialist's Treatment Experience for Hypertension Using Deep Neural Networks. [PDF]

J Clin Hypertens (Greenwich)
Ri JC, Jo KR, Mun TO.
europepmc   +1 more source

Sustainable Poly(Lactic Acid)/Graphene Oxide Bioelectronic Platform for Neurotransmitters Sensing and Tunable Stimulation of Astrocytes

Advanced Materials, EarlyView.
This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà, Giulia Cazzador, Roberta Fabbri, Matteo Calosi, Alessandro Silvestri, Andrea Candini, Fabiola Liscio, Franco Corticelli, Aikaterini Konstantoulaki, Andrea D'Iorio, Marco Caprini, Vincenzo Palermo, Monica Bertoldo, Valentina Benfenati, Chiara Zanardi, Emanuele Treossi   +15 more
wiley   +1 more source

The impact of physical exercise on adolescent psychological resilience: an empirical analysis based on deep neural networks. [PDF]

Front Psychol
Chen Y, Song J, Zhao G, Fu J.
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Two-dimensional NMR from a single pulse: Reconstructing heteronuclear 2D spectra via off-resonance decoupling and deep neural networks. [PDF]

Proc Natl Acad Sci U S A
Khandave NP, Kakita VMR, Buchanan CJ, Shukla VK, Haubrich K, Vallurupalli P, Hansen DF.   +6 more
europepmc   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

Application of deep neural networks in automatized ventriculometry and segmentation of the aqueduct in pediatric hydrocephalus patients. [PDF]

Neuroradiology
Kühne F, Rüther K, Güttler C, Stöckel JC, Thomale UW, Tietze A, Dell'Orco A.   +6 more
europepmc   +1 more source