Results 171 to 180 of about 1,974,901 (308)

Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging

Advanced Functional Materials, EarlyView.
A thermally stable organic memristor based on a thiadiazolobenzotriazole (TBZ) and 2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione (DPP)‐based conjugated polymer is presented, demonstrating reliable, gradual resistance switching across a wide temperature range (153–573 K).
Ziyu Lv, Ming‐Hao Jiang, Hui‐Ying Liu, Qing‐Xiu Li, Tao Xie, Jingya Yang, Yan Wang, Yongbiao Zhai, Guanglong Ding, Shirui Zhu, Jia‐Hua Li, Miao Zhang, Ye Zhou, Bobo Tian, Wai‐Yeung Wong, Su‐Ting Han   +15 more
wiley   +1 more source

Synergistic Formulaic Alpha Generation for Quantitative Trading based on Reinforcement Learning [PDF]

arXiv
Mining of formulaic alpha factors refers to the process of discovering and developing specific factors or indicators (referred to as alpha factors) for quantitative trading in stock market. To efficiently discover alpha factors in vast search space, reinforcement learning (RL) is commonly employed. This paper proposes a method to enhance existing alpha
arxiv  

Programmable Liquid Crystal Elastomers Via Magnetic Field Assisted Oligomerization

Advanced Functional Materials, EarlyView.
This article presents a straightforward method for designing programmable liquid crystal elastomer (LCE) actuators using magnetic field alignment. It combines thio‐Michael polyaddition for efficient LCE synthesis with a strategy that preserves the nematic phase, enabling the alignment of high molecular weight LCOs.
Rakine Mouhoubi, Vincent Lapinte, Sébastien Blanquer   +2 more
wiley   +1 more source

Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment [PDF]

arXiv
Recently, we introduced a new paradigm for alpha mining in the realm of quantitative investment, developing a new interactive alpha mining system framework, Alpha-GPT. This system is centered on iterative Human-AI interaction based on large language models, introducing a Human-in-the-Loop approach to alpha discovery.
arxiv  

Sono‐Piezo‐Photosynthesis of Ethylene and Acetylene from Bioethanol under Ambient Conditions

Advanced Functional Materials, EarlyView.
A novel sono‐piezo‐photocatalytic strategy enables the conversion of bioethanol to ethylene (C2H4) and acetylene (C2H2) under ambient conditions, addressing the limitations of conventional methods that are high‐temperature and energy‐intensive. By using an advanced graphene oxide/sodium bismuth titanate heterostructure catalyst, this work achieved ...
Yue Jiang, Jiajun Zhang, Hongyang Ma, Shujie Zhou, Hsun‐Yen Lin, Sajjad S. Mofarah, Mark Lockrey, Teng Lu, Hangjuan Ren, Xiaoran Zheng, Maichael Gunawan, Suchen Huang, Yu‐Chun Huang, Fenglin Zhuo, Dali Ji, Judy N. Hart, Yun Liu, Jyh Ming Wu, Muthupandian Ashokkumar, Danyang Wang, Pramod Koshy, Charles C. Sorrell   +21 more
wiley   +1 more source

GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process [PDF]

arXiv
In the trading process, financial signals often imply the time to buy and sell assets to generate excess returns compared to a benchmark (e.g., an index). Alpha is the portion of an asset's return that is not explained by exposure to this benchmark, and the alpha research process is a popular technique aiming at developing strategies to generate alphas
arxiv  

Alleviation of Aging‐Related Hallmarks in a Mouse Model of Progeria via a Nanoparticle‐Based Artificial Transcription Factor

Advanced Functional Materials, EarlyView.
Oct4‐nanoscript, a biomimetic nanoparticle‐based artificial transcription factor, precisely regulates cellular rejuvenation by activating Oct4 target genes, restoring epigenetic marks, and reducing DNA damage. In a progeria model, it effectively rescued aging‐associated pathologies and extended lifespan.
Hongwon Kim, Junyeop Kim, Euiyeon Lee, Brandon Conklin, Yannan Hou, Sumin Kim, Yerim Hwang, Ki‐Bum Lee, Jongpil Kim   +8 more
wiley   +1 more source

Compositing Effect Leads to Extraordinary Performance in GeSe‐Based Thermoelectrics

Advanced Functional Materials, EarlyView.
Rhombohedral GeSe is rationally designed with (GeSe)0.9(AgBiTe2)0.1‐1.5 mol.% SnSe, achieving a peak ZT of 1.31 at 623 K. Forming a composite with SnSe establishes interfaces with strong phonon scattering and weak electron scattering. Multiscale defects lead to an ultra‐low lattice thermal conductivity (0.26 W m−1 K−1), approaching the amorphous limit.
Min Zhang, Xiao‐Lei Shi, Siqi Liu, Raza Moshwan, Tianyi Cao, Wenyi Chen, Yongqi Chen, Meng Li, Chenyang Zhang, Nanhai Li, Boxuan Hu, Wanyu Lyu, Wei‐Di Liu, Guihua Tang, Zhi‐Gang Chen   +14 more
wiley   +1 more source

Cu‐Based MOF/TiO2 Composite Nanomaterials for Photocatalytic Hydrogen Generation and the Role of Copper

Advanced Functional Materials, EarlyView.
HKUST‐1/TiO2 composite materials show a very high photocatalytic hydrogen evolution rate which increases as a function of the irradiation time until reaching a plateau and even surpasses the performance of the 1%Pt/TiO2 material after three photocatalytic cycles.
Alisha Khan, Marie Le Pivert, Alireza Ranjbari, Diana Dragoe, Daniel Bahena‐Uribe, Christophe Colbeau‐Justin, Christian Herrero, Dorota Rutkowska‐Zbik, Johnny Deschamps, Hynd Remita   +9 more
wiley   +1 more source

Ultrafast Room‐Temperature Nanofabrication via Ozone‐Based Gas‐Phase Metal‐Assisted Chemical Etching for High‐Performance Silicon Photodetectors

Advanced Functional Materials, EarlyView.
Ozone‐based gas‐phase metal‐assisted chemical etching enables unprecedented room‐temperature fabrication of high‐quality silicon nanowires. The superior oxidation potential of O3 drives rapid vertical etching (1 µm min−1) while maintaining exceptional structural integrity. The pristine nanowire surfaces enable high‐performance core‐shell photodetectors
Hyein Cho, Yejin Han, Geonhwi Kim, Jihwan Jeong, Seongmin Lee, Yebin Ahn, Sang Beom Hong, Soohyeok Park, Inkyeong Park, So Eun Jang, Duck Hyun Youn, Han‐Don Um   +11 more
wiley   +1 more source