Results 121 to 130 of about 60,217 (266)

A Review on Catalytic Nanostructured Electrodes for Wearable and Implantable Abiotic Glucose Fuel Cells

Advanced Science, EarlyView.
This review identifies current and future directions in abiotic nanostructured catalysts to develop reliable and sustainable glucose fuel cells to power the next generation of bioelectronic devices. ABSTRACT The global rise in incidence of chronic diseases has led to the demand for innovative solutions that help patients manage their conditions with ...
Asghar Niyazi, Hannah S. Leese, Benjamin Metcalfe, Mirella Di Lorenzo   +3 more
wiley   +1 more source

Theoretical investigation of Rb-based double halide perovskites for photovoltaic, photocatalytic water splitting, and CO₂ reduction applications. [PDF]

RSC Adv
Rafiu R, Apon IA, Rahman MA, Alsuhaibani AM, Refat MS, Benghanem M, AlFaify S, Elboughdiri N.   +7 more
europepmc   +1 more source

Highly Flexible and Conformable ZnO/FeGa Magnetoelectric Heterostructures for Skin wound Healing

Advanced Science, EarlyView.
The magnetic field‐induced electric field generated by a highly flexile ZnO(piezoelectric)/FeGa(magnetostrictive) magnetoelectric heterostructure embedded in the low Young's modulus elastomer PDMS has been used to stimulate the wound healing processes.
Filippos Perdikos, Laia Bagur, Cristina Vaca, Aritz Lafuente, Joaquin Llacer‐Wintle, Bojan Ambrožič, Christina Stefani, Minsoo Kim, Goran Dražić, Darja Lisjak, Jordi Sort, Xiang‐Zhong Chen, Maria Jose Esplandiu, Salvador Pané, Carme Nogués, Josep Nogués, Andreu Blanquer, Borja Sepúlveda   +17 more
wiley   +1 more source

GIS-based analysis of field margin photovoltaic potential at the landscape level in northwestern Germany. [PDF]

Sci Rep
Foth H, Pesch R, Breckling B.
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Next-generation quantum dot solar cells: advances in materials, device engineering and performance optimization. [PDF]

RSC Adv
Habiba U, Khan MU, Sultan N, Saeed Ashraf Janjua MR.   +3 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

First principles rationale of strain-induced modifications in hybrid double halide perovskite: optoelectronics and photovoltaic perspectives. [PDF]

RSC Adv
Kalita T, Rajak M, Kalita DJ.
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source