Results 81 to 90 of about 159,034 (226)
This work introduces a regionally localized electrolyte (RLE) that spatially separates ether‐ and carbonate‐based functions to stabilize both Li metal and high‐voltage cathodes. An immobilized ether‐rich layer directs Li+ transport, activates LiNO3 locally, and forms a uniform LiF‐rich SEI, enabling lower overpotential, uniform deposition, and long ...
Eunbin Lim +4 more
wiley +1 more source
We used multiple analytical techniques at the Psiché beamline, Synchrotron Soleil, and at D20 instrument in Institut Laue Langevin, to study the densification of thiophosphate solid electrolytes Li3PS4 and Li6PS5Cl. Our combined X‐ray diffraction, absorption tomography, absorption density, neutron power diffraction, and ionic conductivity analyses ...
Oskar Thompson +11 more
wiley +1 more source
Interpretable models in machine learning
The research and development on machine learning has exploded in recent years due to the revolution of neural networks, which have become the greatest hope in the field of artificial intelligence after the improvements in hardware performance and the availability of high amounts of data.
openaire +1 more source
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source
Interpretable machine learning for shoreline forecasting. [PDF]
Al Najar M, Wilson DG, Almar R.
europepmc +1 more source
Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen +11 more
wiley +1 more source
Making machine learning models interpretable
Peer ...
Vellido Alcacena, Alfredo +2 more
openaire +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
Interpretable Machine Learning Insights into Adhesion and Modulus of Biomedical HA-Dopamine Hydrogels. [PDF]
Zhang Y, Xu Y, Shi Y, Liang D.
europepmc +1 more source
Laser‐Assisted Processing and Modification of Bioactive Glasses: A Review
Laser technologies provide powerful tools to process and transform bioactive glasses for advanced biomedical applications. This review discusses laser‐matter interaction mechanisms, laser surface engineering, and laser‐assisted fabrication of scaffolds and nanofibers.
Antonio Riveiro +8 more
wiley +1 more source

