Results 81 to 90 of about 1,392 (217)
The work demonstrates La doping in In2O3 via ALD super‐cycles. The strong La─O bond suppresses oxygen vacancies, resulting in a decrease in mobility and a positive shift in threshold voltage. The effective suppression of VO decreases oxygen‐related defects under gate bias, leading to exceptional negative bias stability.
Jinxiu Zhao +6 more
wiley +1 more source
Stretchable Energy Storage with Eutectic Gallium Indium Alloy
A highly stretchable liquid metal‐based electrode is developed via a one‐step process, retaining conductivity and capacitance after mechanical deformation up to 900% strain. The stretchable all‐solid‐state device provides a areal energy density of 43 µWh cm⁻2 after 150% strain.
Adit Gupta +6 more
wiley +1 more source
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Recent Advances in Nano‐Microstructured Catalysts for Electrochemical Seawater Electrocatalysis
This review highlights advances in nano‐ and microstructured catalysts for electrochemical seawater conversion. It elucidates design principles, mechanistic understanding, and machine‐learning‐assisted discovery, and outlines key challenges and future opportunities toward efficient, selective, and durable seawater electrocatalysis.
Xiaodong Shao +5 more
wiley +1 more source
This study establishes an in situ electrochemical framework using dense bulk electrodes to identify defect chemistry and surface kinetics. While oxygen vacancy concentration is derived via bias modulation, surface exchange coefficients are quantified at open circuit voltage conditions to isolate kinetics.
Taeyun Kim +5 more
wiley +1 more source
Towards Actinium-225 production at SCK CEN
Hanna Skliarova +6 more
openaire +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Background: α-emitting Peptide Receptor Radionuclide Therapy (α-PRRT) is emerging as a promising new generation of PRRT for neuroendocrine tumors (NETs), providing enhanced tumor cell cytotoxicity and reduced irradiation of adjacent healthy tissues due ...
Hannes Leupe +5 more
doaj +1 more source
Robotic Arm‐Assisted Conformal 3D Printing of Displays for Structural Electronics
This study presents a robotics‐enabled platform combining 3D scanning and a 6‐DOF robotic arm for conformal printing on complex non‐planar structures. By maintaining nozzle perpendicularity, the system enables high‐fidelity direct ink writing on steep sidewalls, spherical surfaces, successfully demonstrating a fully printed 7‐segment dynamic display ...
Chanbin Yoo +5 more
wiley +1 more source
Alpha-Emitting Radionuclides: Current Status and Future Perspectives
The use of radionuclides for targeted endoradiotherapy is a rapidly growing field in oncology. In particular, the focus on the biological effects of different radiation qualities is an important factor in understanding and implementing new therapies ...
Matthias Miederer +10 more
doaj +1 more source

