Results 121 to 130 of about 61,199 (270)
Progress in Strain Engineering of 2D‐Integrated Heterostructures for Ultrasensitive Sensors
. ABSTRACT Two‐dimensional (2D) integrated heterostructures have emerged as a cornerstone in the advancement of next‐generation sensor technologies. These heterostructures, which combine materials with different dimensionalities, have led to significant breakthroughs in sensing performance and device integration.
That Buu Ton +4 more
wiley +1 more source
Stochastic Thermodynamics of a Finite Quantum System Coupled to Two Heat Baths. [PDF]
Schmidt HJ, Gemmer J.
europepmc +1 more source
Photoresponsive Rotaxanes Switch Lipid Bilayer Neuromorphic Behavior with Light
A rotaxane consisting of a macrocycle ring with two azobenzene units mechanically interlocked onto an amphiphilic axle was incorporated into droplet interface bilayers (DIBs). Photoswitching between the azobenzene configurations on the ring resulted in cycling between memristive and memcapacitive behaviors in lipid bilayers, enabling programmable ...
P.T. Podar +4 more
wiley +1 more source
Spectroscopic characterization of rare events in colloidal particle stochastic thermodynamics. [PDF]
Otani SK +5 more
europepmc +1 more source
Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song +10 more
wiley +1 more source
Stochastic Thermodynamics of a Piezoelectric Energy Harvester Model. [PDF]
Costanzo L +3 more
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin +8 more
wiley +1 more source
Stochastic thermodynamics of self-oscillations: the electron shuttle
Self-oscillation is a phenomenon studied across many scientific disciplines, including the engineering of efficient heat engines and electric generators.
Christopher W Wächtler +4 more
doaj +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source

