Results 141 to 150 of about 529,949 (323)

Low‐Symmetry Weyl Semimetals: A Path to Ideal Topological States

Advanced Functional Materials, EarlyView.
This study presents a theoretical framework for realizing ideal Weyl semimetals, where Weyl nodes are well‐isolated at the Fermi level. The approach is exemplified in the low‐symmetry material Cu2SnSe3, which exhibits tunable topological phases, current‐induced orbital magnetization, and a strong circular photogalvanic effect, making it a promising ...
Darius‐Alexandru Deaconu, Varun Shah, Rodion Vladimirovich Belosludov, Mohammad Saeed Bahramy   +3 more
wiley   +1 more source

Modulating Two‐Photon Absorption in a Pyrene‐Based MOF Series: An In‐Depth Investigation of Structure–Property Relationships

Advanced Functional Materials, EarlyView.
This study investigates H4TBAPy‐based metal–organic frameworks (MOFs) ‐ NU‐1000, NU‐901, SrTBAPy, and BaTBAPy ‐ for multiphoton absorption (MPA) performance. It observes topology‐dependent variations in the 2PA cross‐section, with BaTBAPy exhibiting the highest activity.
Simon N. Deger, Helmy Pacheco Hernandez, Yang Cui, Hongxing Hao, Vanessa Ramm, David C. Mayer, Khai‐Nghi Truong, Roland A. Fischer, Jürgen Hauer, Mariana Kozlowska, Alexander Pöthig   +10 more
wiley   +1 more source

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning [PDF]

Zezhen Ye, Zhenru Zhang, Yang Zhang, Jianxin Ma, Juntang Lin, Fuli Feng   +5 more
openalex   +1 more source

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

In this paper, we introduce a novel learning paradigm for Adaptive Large Language Model (LLM) agents that eliminates the need for fine-tuning the underlying LLMs. Existing approaches are often either rigid, relying on static, handcrafted reflection workflows, or computationally intensive, requiring gradient updates of LLM model parameters. In contrast,
Zhou, Huichi, Chen, Yihang, Guo, Siyuan, Yan, Xue, Lee, Kin Hei, Wang, Zihan, Lee, Ka Yiu, Zhang, Guchun, Shao, Kun, Yang, Linyi, Wang, Jun   +10 more
openaire   +2 more sources

Selective Benzene Capture by Metal‐Organic Frameworks

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) hold significant potential for capturing benzene from air emissions and hydrocarbon mixtures in liquid phases. This capability stems from their precisely engineered structures, versatile chemistries, and diverse binding interactions.
Zongsu Han, Ankit Mondal, Jiatong Huo, Yihao Yang, Hong‐Cai Zhou   +4 more
wiley   +1 more source

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer [PDF]

Guodong Du, Fangwei Zhang, Jing Li, Jianming Li, Rong Jiang, Shuyang Yu, Yifei Guo, Yida Chen, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Honghai Liu, M. Zhang   +12 more
openalex   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Fine Tuning of Au/SiO2/Si Diodes by Varying Interfacial Dipoles Using Molecular Monolayers [PDF]

, 2001
Yoram Selzer, David Cahen
openalex   +1 more source

Fine tuning [PDF]

Nature Reviews Molecular Cell Biology, 2006
openaire   +1 more source

Exploiting the Functionality of Cerium Oxide‐Modified Carbon Nanohorns Catalysts Toward Enhanced CO2 Reduction Performance

Advanced Functional Materials, EarlyView.
A cerium oxide‐carbon nanohybrid catalyst is synthesized via two distinct routes and is integrated into H‐type cells and gas diffusion layers (GDLs) to enhance electrochemical performance. Structural variations significantly affect performance, with the solvothermal sample exhibiting higher current densities.
Alessia Pollice, Michele Cacioppo, Miriam Marchi, Miriam Moro, Francesco Paolucci, Marcella Bonchio, Maurizio Prato, Giovanni Valenti, Michele Melchionna, Paolo Fornasiero   +9 more
wiley   +1 more source