Results 211 to 220 of about 313,494 (287)

Current Collector Engineering for New Efficient Bioresorbable Sodium‐Ion Batteries

Advanced Science, EarlyView.
A bioresorbable Na‐ion battery is proposed with Mo or Mg thin‐film current collectors for temporary implants. Mo‐based batteries exhibit superior electrochemical performance and stable cycling compared with Mg counterparts. XPS was used to investigate the Mo/Mg surface oxidation.
Bincy Lathakumary Vijayan, Eleonora Vandini, Vedi Kuyil Azhagan Muniraj, Hussien Hammoud, Oussama Jamai, Eve Djenizian, Marc Ramuz, Daniela Giuliani, Manuela Zavatti, Yann Tison, Hervé Martinez, Lucas Teolis, Esma Ismailova, David Moreau, Sébastien Maria, Thierry Djenizian   +15 more
wiley   +1 more source

Transfer Learning Meets Embedded Correlated Wavefunction Theory for Chemically Accurate Molecular Simulations: Application to Calcium Carbonate Ion Pairing. [PDF]

J Chem Theory Comput
Bian X, Carter EA.
europepmc   +1 more source

PDGFRα+/Integrin α2+ Fibroblasts Orchestrate Tumor Budding in Oral Squamous Cell Carcinoma via Mechano‐Metabolic Symbiosis: E‐Cadherin/Integrin α2β1 Adhesion and Mitochondrial Transfer

Advanced Science, EarlyView.
PDGFA/PDGFRα signaling recruits CAFs to OSCC nests, and CAF‐OSCC contact drives tumor budding invasion. Mechanistically, heterotypic adhesion via E‐cadherin/integrin α2β1 activates YAP signaling in OSCC cells, inducing EMT. Concurrently, CAFs transfer mitochondria through TNTs, supplying ATP to fuel invasion.
Yufang Liu, Jiao Li, Juan Liu, Qi Dong, Haoyang Zhang, Yanjin Wang, Huibing Li, Ye Guan, Lei Cao, Manqing Zhang, Fangning Guo, Xue Liu, Zhen Yang, Mengmeng Lu, Hui Liu, Laiping Zhong, Tong Ji, Tingjiao Liu   +17 more
wiley   +1 more source

The aging paradox of Cushing's syndrome: Stress without clear senescence? [PDF]

J Neuroendocrinol
Silveira IN, Guterres A.
europepmc   +1 more source

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

Advanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li, YongRui Wang, Weifeng Zhang, Jikang Xu, Xiaobing Yan   +4 more
wiley   +1 more source

Ferroelectric Behavior of Micro‐ to Submicron‐Scale HZO Capacitors: Impact of the Perimeter‐to‐Area Ratio

Advanced Electronic Materials, EarlyView.
Using C‐AFM, W/HZO/p‐Ge capacitors with areas down to 0.26 µm2 are investigated. Frequency‐dependent voltage ramps reveal switching currents that confirm complete polarization reversal across the entire electrode area, while PUND enables reconstruction of P–V loops.
Lucian Trupina, Stefan Neatu, Lucian Pintilie, Lucia Nicoleta Leonat, Stavros Kitsios, Stefania Skorda, Alexandros El Sachat, Polychronis Tsipas, Alexander Flasby, Laura Bégon‐Lours, Athanasios Dimoulas   +10 more
wiley   +1 more source

Edge-Friendly UAV Wildfire Smoke and Flame Detection Using Transfer Learning-Enhanced Lightweight Deep Learning Models. [PDF]

Sensors (Basel)
Vazquez G, Zhai SP, Yang M.
europepmc   +1 more source

Investigation of Moisture‐Induced Degradation Mechanisms and a Reviving Strategy for Sulfide‐Based Solid Electrolytes in All‐Solid‐State Composite Cathode

Advanced Energy Materials, EarlyView.
Moisture exposure induces the formation of reductive solid phases on argyrodite Li6PS5Cl, which destabilize Ni‐rich cathodes by extracting lattice oxygen and inducing surface reconstruction. A brief oxygen‐assisted annealing treatment quenches these reductive phases, restores interfacial stability, and enables effective regeneration and reuse of ...
Yujeong Hwang, Hwiho Kim, Sungjae Seo, Mingyuan Ge, Yongjun Jang, Jongwoo Lim   +5 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source