Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
Apart from (transition) metal (oxo)halides only few hosts stabilize chalcogenide cations in purely oxoanionic coordination environment. Herein, we report on five borosulfates containing the Se42+ ion and characterize the compounds using X‐ray diffraction, diffuse reflectance spectroscopy, density functional theory (DFT) calculations along with magnetic
Erich Turgunbajew +11 more
wiley +2 more sources
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
To address the unresolved challenge of selective bromide removal from reverse‐osmosis permeate, we developed benzothiazole‐functionalized COF/rGO electrodes that exploit directional chalcogen bonding to preferentially capture Br− over Cl−. The mesoporous BTzTp@rGO electrode achieved a maximum Br− uptake of 36.7 mg g−1, a Br−/Cl− selectivity factor of ...
Najat Maher Aldaqqa +7 more
wiley +2 more sources
Reevaluation of mycobacterial phosphatidyl-myo-inositol mannosides (PIMs) as Toll-like receptor 2 (TLR2) agonists. [PDF]
Belkai S +13 more
europepmc +1 more source
Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian +10 more
wiley +1 more source
Multiomics profiling identifies molecular and cellular signatures of regular exercise in human peripheral blood. [PDF]
Song X +14 more
europepmc +1 more source
Protocol for deep phenotyping of human antigen-specific T cells across conventional and unconventional subsets by 22-color spectral flow cytometry. [PDF]
Du J, Zeng M, He Z, Li X, Liu S, Li Z.
europepmc +1 more source
Unconventional superconductivity in UAs<sub>2</sub> under pressure. [PDF]
Li Q +5 more
europepmc +1 more source
Revisiting T cells: Innate actions and emerging links to innate memory response. [PDF]
Tran KA, Divangahi M.
europepmc +1 more source

