Results 151 to 160 of about 17,485,030 (293)

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

Femtosecond Laser-Engineered Sustainable Glass Surfaces with Tunable Wettability Properties for Photovoltaic System Applications. [PDF]

Nanomaterials (Basel)
Filipov E, Angelova L, Zhelyazkova A, Daskalova A.   +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

Nature of innovations affecting photovoltaic system costs. [PDF]

PLoS One
Kavlak G, Klemun MM, Kamat AS, Smith BL, Margolis RM, Trancik JE.   +5 more
europepmc   +1 more source

Photovoltaic Systems. Measurement and Evaluation of Photovoltaic Power Systems.

Journal of The Society of Instrument and Control Engineers, 1996
MINE, Hisaichi, IMATAKI, Mitsumasa
openaire   +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

Enhanced maximum power point tracking using hippopotamus optimization algorithm for grid-connected photovoltaic system. [PDF]

Sci Rep
Taha SA, Abdulsada MA, Mohamed MAE, Alruwaili M, Emara A.   +4 more
europepmc   +1 more source

A new adaptive MPPT technique using an improved INC algorithm supported by fuzzy self-tuning controller for a grid-linked photovoltaic system. [PDF]

PLoS One, 2023
Ibrahim NF, Mahmoud MM, Alnami H, Mbadjoun Wapet DE, Ardjoun SAEM, Mosaad MI, Hassan AM, Abdelfattah H.   +7 more
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

Enhanced adaptive control techniques for extracting maximum power from photovoltaic system. [PDF]

Sci Rep
Hafez AO, Attia MA, El-Ebiary AH.
europepmc   +1 more source