Results 211 to 220 of about 250,786 (296)

Membrane‐aided simultaneous reaction–separation for liquid phase products

AIChE Journal, EarlyView.
Abstract Conventionally, reaction and separation are conducted as separate steps in liquid‐phase manufacturing, with products formed during reaction and subsequently separated from unreacted reagents, solvents, and byproducts. Integrating these steps into a simultaneous reaction–separation process can improve efficiency and reduce costs.
Yihan Song, Abdulmalik Dahiru, Alan Tirado, Cliff Kowall, Lei Li   +4 more
wiley   +1 more source

Quantum System for Generating Random Phase-Manipulated Emissions with a Controllable Electromagnetic Center. [PDF]

Sensors (Basel)
Litchkov N, Kurtev M, Mladenov A.
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Low-profile metasurface-backed wideband antenna array for mm-wave applications. [PDF]

Sci Rep
Kiani SH, Rafique U, Shoaib N, Abbasi MI, Elmannai H, Ibrahim MI, Dalarsson M.   +6 more
europepmc   +1 more source

Patient‐Mounted Neuro Optical Coherence Tomography for Targeted Minimally Invasive Micro‐Resolution Volumetric Imaging in Brain In Vivo

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a patient‐mounted neuro optical coherence tomography system that integrates a 5 degrees‐of‐freedom skull‐mounted robot (Skullbot) with a 0.6 mm neuroendoscope for targeted, minimally invasive deep brain imaging, is developed. The system offers high‐resolution imaging with precise deployment, demonstrated through successful tumor imaging in a ...
Chao Xu, Zhiwei Fang, Huxin Gao, Tinghua Zhang, Tao Zhang, Peng Liu, Hongliang Ren, Wu Yuan   +7 more
wiley   +1 more source

Characteristic mode inspired broadband circularly polarized metasurface antenna with triple-mode excitation for Sub-6 GHz applications. [PDF]

Sci Rep
Naik DK, Panda DC, Swain R, Muduli A, Pal A.   +4 more
europepmc   +1 more source

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source

Synergy Between Photon‐to‐Phonon Pathway and Active Lattice Oxygen Enables Efficient and Stable Syngas Synthesis

Angewandte Chemie, EarlyView.
This work reports the design of a multifunctional MnOx support coupled with classic Rh catalytic centers for light‐driven dry reforming of methane. Benefiting from efficient photon‐to‐phonon conversion pathway and a dynamic OL‐OV cycle, the catalyst achieves high syngas production rates and light‐to‐chemical energy efficiency without external heating ...
Chengzhi Guo, Apoorv Jain, Junrun Feng, Xinyu Li, Xinru Li, Shuya Jia, Juncong Wang, Leirun Chen, Xinjie Luo, Xiaolei Zhang, Xiyi Li, Yang Lan   +11 more
wiley   +2 more sources

Integrated photonics enabling ultra-wideband fibre-wireless communication. [PDF]

Nature
Zhang Y, Shu H, Guo Y, Zhou P, Wang L, Cai J, Yao L, Yang L, Li L, Long T, Zhang Z, Han C, Lu K, Sun Y, Xu Z, Qin J, Tong Y, He Z, Xiao X, Wang L, Chen B, Yu S, Wang X.   +22 more
europepmc   +1 more source

Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function

Advanced Intelligent Systems, EarlyView.
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia, Gengkai Hu, Boo Cheong Khoo, Rolf Müller   +3 more
wiley   +1 more source