Robust Stitching Interface and Deep Learning Empowered Hydrogel Human‐Machine Interface
A molecular design strategy is presented that exploits synergistic carboxylate anion–quaternary ammonium interactions to simultaneously strengthen the hydrogel–PET interface and the bulk hydrogel network. Integrated with deep learning signal processing, the stable hydrogel–PET interface enables consistent signal acquisition and reliable human‐machine ...
Hao Dong +11 more
wiley +1 more source
Morphology controls nonlinear donor acceptor thermodynamics in divinylbenzene-based copolymers. [PDF]
Hamieh T.
europepmc +1 more source
ABSTRACT Translating dynamic liquid‐liquid phase separation into robust solid‐state architectures remains a challenge in materials engineering. Here, we report a composition‐driven interfacial assembly strategy that couples supramolecular coacervation with metal‐phenolic coordination to engineer tunable fungicide carriers.
Rui Zhang +7 more
wiley +1 more source
Prediction of the performance of industrial gas turbine based on different environmental conditions. [PDF]
Nabi FG +6 more
europepmc +1 more source
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang +8 more
wiley +1 more source
First-Principles Design of Room Temperature Ferromagnetic Metallic Rare-Earth Zintl Compounds AB<sub>2</sub>C<sub>2</sub> (A = Ce, Pr, Nd; B = Li; C = Sb) for Next-Generation Spintronic and Magneto-Electronic Applications. [PDF]
Ullah H +7 more
europepmc +1 more source
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
A Self-Consistent Phase Field Crystal Method for Twisted Bilayer Graphene. [PDF]
Wang P, Liu K.
europepmc +1 more source
Multiphoton Quantum Reservoirs For Robust Multidimensional Computing
Projective measurements reveal hidden multidimensional quantum networks within classical multiphoton fields, enabling robust quantum reservoirs for room‐temperature quantum simulation, prediction, and information processing. These networks transform noisy classical photonic platforms into scalable quantum computational architectures.
Mingyuan Hong +10 more
wiley +1 more source

