Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley +1 more source
Phase‐Engineered MoS2 Quantum Monolayer Catalysts
A new type of catalyst model—phase‐engineered MoS2 quantum‐monolayer catalyst (∼0.8 nm thick, < 6 nm in the lateral size; switchable freely among metallic 1T, semiconducting 2H, and a hybrid phase of metallic‐semiconducting 1T‐2H)—is reported. It can efficiently and stably drive photochemical H2, syngas and ammonia synthesis as a catalyst or co ...
Ruijie Yang +12 more
wiley +1 more source
A Large Language Model-Guided IMU-PDR Method for Detection and Error Correction. [PDF]
Liang G, Wu H, Bai S, Tang H.
europepmc +1 more source
Demagnetization‐Driven Nanoscale Chirality‐Selective Phonon Transport
Chiral heat flow is switched in a ferromagnet/chiral α‐SiO2 heterostructure by controlling the angular momentum of demagnetization‐driven chiral phonons. When phonon handedness matches the crystal chirality, nanoscale thermal transport is enhanced; the opposite handedness suppresses transport, establishing a magnetization‐tunable chiral phonon diode ...
In Hyeok Choi +8 more
wiley +1 more source
Methanesulfonic Acid as a Dual‐Role Reagent for Porous Polymer Network Design
The design of porous polymer networks (PPNs) using methanesulfonic acid (MSA) as a dual‐role reagent facilitates the synthesis of robust PPNs for specific applications. It also makes the scale‐up process techno‐economically feasible because MSA functions simultaneously as both a solvent and a catalyst for the reaction.
Kelechi Festus +8 more
wiley +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
GraphLane: a spatio-temporal graph learning framework for lane localization. [PDF]
Gunasekaran V, Pandian JA.
europepmc +1 more source
Robust Spin Splitting and Fermiology in the Layered Altermagnet CoNb4${\rm CoNb}_4$Se8${\rm Se}_8$
The emergence of an altermagnetic phase is demonstrated in the cobalt‐intercalated superconducting 2H‐NbSe2 polymorph. A combined theoretical and experimental approach directly probes the magnetism, the altermagnetic lifting of Kramers degeneracy, and the electronic phase space, establishing CoNb4Se8 as the first g‐wave altermagnetic layered material ...
Alessandro De Vita +47 more
wiley +1 more source
Continuity in geometric intuition between humans and monkeys. [PDF]
Li J +8 more
europepmc +1 more source
A Critical Call for Mechanistic Investigations of Metal‐Bacteria Interactions
It is well established that the antibacterial properties of metals have tremendous importance for bioengineering applications. What is not as appreciated, however, is the reproducibility crisis in this field's vast literature. In this perspective, we highlight this reproducibility problem, discuss its sources, and suggest solutions towards focused ...
J. Rackwitz +9 more
wiley +1 more source

