Polymer Interface Enables Reversible Quasi‐Solid Sulfur Conversion in Sodium‐Sulfur Batteries
The polymer interface enables a stable quasi‐solid sulfur conversion pathway in room‐temperature Na─S batteries. The coating regulates Na+ transport, stabilizes the cathode–electrolyte interphase, and accommodates mechanical stress, suppressing electrolyte decomposition and sulfur migration, thereby improving reaction uniformity, reducing polarization,
Reza Andaveh +12 more
wiley +1 more source
Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction. [PDF]
Schwade M +4 more
europepmc +1 more source
Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi +3 more
wiley +1 more source
Solvent Co‐Intercalation Enabled Ca Storage in MoS2 for Ca‐Ion Batteries
Regulating electrolyte solvation levels enables otherwise non‐intercalatable Ca2+ ions to reversibly co‐intercalate into molybdenum disulfide (MoS2) as ether‐solvated species. The intercalation reversibility is strongly governed by solvent chain length, as demonstrated using diethylene glycol dimethyl ether (G2) and tetraethylene glycol dimethyl ether (
Yudong Luo +10 more
wiley +1 more source
Exact soliton, lump, and breather solutions of the (3 + 1)-dimensional Jimbo-Miwa equation via the bilinear neural network method. [PDF]
Hussein HH, Mekawey H, Elsheikh A.
europepmc +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing. [PDF]
Mokari A +5 more
europepmc +1 more source
Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee +7 more
wiley +1 more source
Fast electromagnetic field simulation using a current-density- based physics-informed neural network. [PDF]
Gao Z +5 more
europepmc +1 more source
Fluid Forces Control Structural Remodeling of Blind‐Ended Lymphatic Microvessels
Using innovative microfluidic biofabrication with fluid mechanical insights, we recapitulated the blind‐ended microanatomy and physiological drainage properties of capillary lymphatics. Our results reveal the interrelationship between intra‐ and extraluminal regions of lymphatic vessels due to flow‐induced sprouting and morphological changes that ...
Jacob C. Holter +5 more
wiley +1 more source

