Results 201 to 210 of about 5,589,661 (305)

Ionic Precursors Transformed Into Vinyl Acetate Synthesis Catalyst via Reaction‐Driven Restructuring

Advanced Functional Materials, EarlyView.
This work demonstrates that a simple physical mixture of Pd and Au ionic precursors, KOAc promoter, and SiO2 support can transform into a highly active vinyl acetate synthesis catalyst through reaction‐driven restructuring. The results highlight reaction‐induced restructuring as an innovative and sustainable catalyst design strategy.
Byeong Jun Cha, Welman C. Elias, Hunter P. Jacobs, Kimberly N. Heck, Saghar Rezaie, Sadegh Yazdi, Kiheon Hong, Justin J. Dodson, Laiyuan Chen, Sean G. Mueller, Steven R. Alexander, Michael S. Wong   +11 more
wiley   +1 more source

Detailed study of bifurcations in a rate model with excitatory and inhibitory neurons and adaptation. [PDF]

J Comput Neurosci
Windisch A, Simon PL.
europepmc   +1 more source

Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing

Advanced Functional Materials, EarlyView.
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee, Geunyoung Kim, Hwa Young Kim, Do Hoon Kim, Hanchan Song, Huisu Noh, Jungwan Noh, Seungwoo Lee, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +10 more
wiley   +1 more source

Stochastic analysis of overlapping generations models under incomplete markets. [PDF]

Math Financ Econ
Chen C, Ellingsrud S, Harang FN, Irarrazabal A, Mayorcas A.   +4 more
europepmc   +1 more source

Structural Power Composites Based on High Mass Loading Zn‐Ion Hybrid Supercapacitors with Metal Mesh Current Collectors and Aramid Nanofiber/Glass Fiber Composite Electrolytes

Advanced Functional Materials, EarlyView.
A multifunctional structural power composite is developed by integrating high‐mass‐loading Zn‐ion hybrid supercapacitors with metal mesh current collectors and aramid nanofiber‐based composite electrolytes, enabling simultaneous load‐bearing capability and enhanced areal energy storage.
Yuseung Choi, Gilyong Shin, Hoyeon Lee, Eun Jae Nam, Byeong Jun So, Sungryul Yun, Fu‐Kuo Chang, Jei Gyeong Jeon, Tae June Kang   +8 more
wiley   +1 more source

Quantum Cournot Triopoly Game with Heterogeneous Expectations: Dynamics and Chaos Control with Isoelastic Demand. [PDF]

Entropy (Basel)
Wei L, Wang S, Wang J.
europepmc   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

High-Frequency Dynamics and Electrical Signatures of a 3D Bloch Point. [PDF]

Nanomaterials (Basel)
Gareeva Z, Gareev S, Filippova V, Sharafullin I.   +3 more
europepmc   +1 more source

Conformational Switching of Proteins on Material Surfaces Enabled by Peptide‐Oriented Adsorption

Advanced Functional Materials, EarlyView.
Responsive biointerfaces could be achieved using conformationally responsive proteins; however, their interconversion can be lost upon surface adsorption. Herein, we demonstrate that the incorporation a Au binding peptide into calmodulin allows for binding control on Au wherein the protein retains conformational switching. This capability was confirmed
Sakthirupini Ramamurthy, Kyle B. Meerbott, Lorenzo Travaglini, Garima S. Dobhal, Artur Sawicki, Marc R. Knecht, Tiffany R. Walsh, Dominic J. Glover   +7 more
wiley   +1 more source

A data-driven approach to hepatitis C forecasting using machine learning and epidemiological models. [PDF]

PLoS One
Mannan A, Rahman JU, Alzahrani E, Fiidow OA.   +3 more
europepmc   +1 more source