Results 221 to 230 of about 639,841 (326)
Bio‐Friendly Artificial Muscles Based on Carbon Nanotube Yarns and Eutectogel Derivatives
Solid‐state artificial muscles based on coiled commercial carbon nanotube yarns coated with eutectogel derivatives exhibit unipolar actuation through selective ion intercalation. Combining polyanionic and polycationic gels enables enhanced contractile stroke and high energy density.
Gabriela Ananieva +6 more
wiley +1 more source
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Uncertainty aware hybrid learning framework for fast and safe charging of lithium-ion batteries using multi-fidelity observers. [PDF]
Parimala CHH +5 more
europepmc +1 more source
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv +10 more
wiley +1 more source
Mechanistically guided residual learning for battery state monitoring throughout life. [PDF]
Che Y +6 more
europepmc +1 more source
Two‐photon lithography (TPL) enables 3D magnetic nanostructures with unmatched freedom in geometry and material choice. Advances in voxel control, deposition, and functionalization open pathways to artificial spin ices, racetracks, microrobots, and a number of additional technological applications.
Joseph Askey +5 more
wiley +1 more source
Adaptive deep Q-networks for accurate electric vehicle range estimation. [PDF]
Khekare U, Vedaraj I S R.
europepmc +1 more source
Battery State of Charge estimation with Kalman filter
This notebook explores the State of Charge (SoC) estimation of a battery using a state observer algorithm, the Kalman filter, or more precisely its nonlinear extension: the extended Kalman filter (EKF). The notebook provides three Python implementations of the Kalman filter: 1. a step-by-step literate programming version of the filter, using a sequence
openaire +1 more source
The pyrene and ether groups are incorporated into the covalent triazine polymer (CTP) structure. The synergistic effect of the two functional groups endows CTP with better electron transfer, light absorption, and oxygen activation properties. An impressive apparent quantum yield (13.2% @420 nm) and a remarkable solar‐to‐chemical conversion efficiency ...
Chong Wang +10 more
wiley +1 more source
Flexible Sensors for Battery Health Monitoring. [PDF]
Wang X +13 more
europepmc +1 more source

