Results 161 to 170 of about 13,193 (310)

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

Advanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar, Guillaume Lambard, Jessie Manopo, Ruili Guo, Kevin Septioga, Rizfi F. Pari, Toshinori Matsushima, Zhanglin Guo   +7 more
wiley   +1 more source

Hydrogen (H2) Recovery From Hydrogen Sulfide (H2S): Current Technologies, Challenges, and Future Outlook

Advanced Science, EarlyView.
ABSTRACT Hydrogen sulfide (H2S) can be transformed into hydrogen (H2) through several chemical and catalytic processes, offering a promising route for both waste treatment and clean H2 production. This colorless, flammable, and toxic gas is found abundantly in swamps, volcanoes, hot springs, sewages, other natural gas fields, and even in refineries and
Divyesh Cirikonda, Astrid Campos‐Mata, Sehmus Ozden, Shreyasi Chattopadhyay, Pulickel M. Ajayan   +4 more
wiley   +1 more source

Isosteric Substitution Enables Rational Design of Two‐Dimensional Energetic Crystals

Advanced Science, EarlyView.
Isosteric substitution transforms a classical nitro–amine motif into two‐dimensional aminofurazans with performance beyond TATB. ABSTRACT Two‐dimensional (2D) energetic crystals dissipate mechanical insult via interlayer slip, yet their molecular design space remains narrow.
Linyuan Wen, Wentong Tu, Tao Yu, Chao Chen, Zhixiang Zhang, Zhixiang Xie, Yingzhe Liu   +6 more
wiley   +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

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

Fluorine‐Doping of Mesoporous TiO2 Enables Efficient Defect Passivation for High‐Efficiency and Stable Perovskite Solar Cells

Advanced Science, EarlyView.
We introduce an SF6 RIE plasma fluorination method for mesoporous TiO2, suppressing oxygen vacancies and improving charge extraction. The fluorinated TiO2 promotes uniform FAPbI3 film formation and enhances device performance under both one‐sun and indoor illumination.
Hye W. Chun, Sang Yeon Lee, Sang Eun Yoon, Gyeong G. Jeon, Veera Murugan Arivunithi, So Jeong Shin, Min Jun Choi, Byeongsu Kim, Min‐Ho Lee, Dohyeon Jeon, Taekyeong Kim, Jung‐Yong Lee, Jong H. Kim   +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

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

Hybrid AI Models for Short-Term Photovoltaic Forecasting: A Systematic Review of Architectures, Performance, and Deployment Challenges. [PDF]

Sensors (Basel)
Saltos JM, Intriago Cedeño MG, Balderramo Velez NR, León GTR, Cano-Ortega A.   +4 more
europepmc   +1 more source

Non-linear model predictive energy management strategies for stand-alone DC microgrids

Due to substantial generation and demand fluctuations in stand-alone green micro-grids, energy management strategies (EMSs) are becoming essential for the power sharing purpose and regulating the microgrids voltage.
Moradinegade Dizqah, Arash
core