Enhancing multi-component alloy composition prediction based on generative adversarial networks and proximal policy optimization. [PDF]
Zhang SL, Bai SB, Shang WJ, Liu Q, Yu P.
europepmc +1 more source
Reconfigurable Ferroelectric‐Like Two‐Dimensional Electron Gas at Room Temperature
We demonstrate the realization of a novel ferroelectric‐like two‐dimensional electron gas (2DEG) based on the epitaxial interface between SrO‐terminate SrTiO3 and ferroeletric KNb0.5Na0.5O3${\rm KNb}_{0.5}{\rm Na}_{0.5}{\rm O}_3$ thin films. We show nonvolatile control of the transport properties enabling spatially reconfigurable devices in which ...
Martando Rath +16 more
wiley +1 more source
A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]
Tang D.
europepmc +1 more source
A novel engineering strategy that establishes material design principles for incorporating anti‐inflammatory steroids into lipid nanoparticles to reduce LNP‐induced inflammation while retaining mRNA delivery. Results are validated in vitro and in three animal models of inflammation and autoimmunity in vivo.
Ajay S. Thatte +21 more
wiley +1 more source
sBOSC: A Method for Source-Level Identification of Neural Oscillations in Electromagnetic Brain Signals. [PDF]
Stern E, Niso G, Capilla A.
europepmc +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Research on Density Prediction of Laser Powder Bed Fusion Process Parameters for IN718 Nickel-Based Superalloy Based on Machine Learning. [PDF]
Zhu L +5 more
europepmc +1 more source
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim +8 more
wiley +1 more source
Post-Processing Algorithm for Leg Electrical Impedance Imaging Integrating Boundary Attention Mechanism. [PDF]
Zhang L, Wang W.
europepmc +1 more source

