Results 221 to 230 of about 4,798,915 (301)
Hydraulic geometry hypothesis allows reverse engineering of 3D quasi-equilibrium landscapes from 2D channel networks: Earth, Mars, Titan. [PDF]
Zhang L +5 more
europepmc +1 more source
Electric‐field‐controlled antiferroelectric switching offers a ferroic pathway for reversible interconversion between symmetry‐distinct antiferromagnetic states in a two‐dimensional halide perovskite. A spin‐split altermagnet transforms into a spin‐degenerate type‐IV antiferromagnet through field‐driven structural symmetry reconstruction, enabling ...
Wan Zhao +7 more
wiley +1 more source
Universal Foundations of Thermodynamics: Entropy and Energy Beyond Equilibrium and Without Extensivity. [PDF]
Beretta GP.
europepmc +1 more source
A conductive ZrB2 ceramic composite strategy was developed for Mg3(Sb, Bi)2 thermoelectrics to regulate carrier transport and phonon scattering through heterointerface engineering. The 1.0 wt.% ZrB2 composite achieved enhanced room‐temperature performance, with a power factor of 28.51 µW cm−1 K−2 and a peak ZT of 1.22 at 573 K.
Yangyang Xu +7 more
wiley +1 more source
A dataset of geographic entities and relationships from Song Dynasty texts on Lin'an. [PDF]
Zhang C, Zhong F, Chen Z, Wu W, Pan D.
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
Health resource mobilization: state or government policies? [PDF]
Artifon E, Facanali MR, Otoch JP.
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

