Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Unrevealed oligoresveratrols from <i>Shorea parvifolia</i> root bark as xanthine oxidase inhibitors: isolation, <i>in vitro</i> bioassay, quantum studies and structure-based computational profiling. [PDF]
Windah ALL +7 more
europepmc +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
Computational screening of natural product inhibitor stargeting the MDM2-p53 interaction: docking and molecular dynamics insights for retinoblastoma therapy. [PDF]
Geng Y, Liu X, Kumar S, Geng Y.
europepmc +1 more source
Rod Origami (RodOri) springs harness snap‐through instabilities of pre‐stressed curved rods with geometrically programmable buckling behavior. Integrating RodOri springs with distinct geometries yields multistable metamaterials that undergo stepwise reconfiguration via sequential snapping, achieving wide‐range tunability of stiffness and resonance ...
Jeseung Lee +2 more
wiley +1 more source
Orbital - Vol. 6 No. 3 - July-September 2014 [PDF]
Production, Orbital, Orbital Production
core
Understanding the underlying language code that governs the π-π non-covalent interactions between proteins and DNA. [PDF]
Riera Aroche R +4 more
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
PEEK in modern maxillofacial surgery: clinical applications, limitations and future opportunities. [PDF]
Gedik B +3 more
europepmc +1 more source
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen +15 more
wiley +1 more source

