Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.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
Physics-informed TVAE workflow for data augmentation, mechanical validation, optimization of CFRP-strengthened CFST beams. [PDF]
MethodsXAdmasu MB +3 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Exploiting quantum chaos diagnostics in QAOA for enhanced hybrid quantum classical deep learning classification. [PDF]
Sci RepVillalba-Díez J, Losada-González JC.
europepmc +1 more source
Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN
Advanced Functional Materials, EarlyView.Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk +6 more
wiley +1 more source
A novel quantum convolutional neural network framework for quantum-enhanced classification of pixelated colour images. [PDF]
Sci RepDaka C, Bhattacharyya S.
europepmc +1 more source
Dual‐Mode Magnetic Elastomer for On‐Demand Motion and Degradation
Advanced Functional Materials, EarlyView.A dual‐mode magnetic elastomer is introduced, enabling DC field‐driven programmable actuation and AC field‐driven magnetothermal degradation. GHz‐range magnetic fields generate ultrafast heating of magnetic nanoparticles that activates cleavage of the silicone elastomer matrix.
Jieun Han +13 more
wiley +1 more source
Unveiling the Heterogeneity and Multifunctions of Biological Membranes: A Unifying Perspective in Membrane Biophysics from Molecular Coupling to Cellular Function. [PDF]
Membranes (Basel)Wu H, Ou-Yang ZC.
europepmc +1 more source
This work introduces the Minimum Effort Principle (MEP), a physically measurable alternative to traditional variational formulations in physics. Unlike the classical least action principle, which relies on the abstract Lagrangian (L = T − V), the MEP employs the integrated total energy density (ρE = T + V) together with an experimentally measurable ...
openaire +2 more sources
Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene
Advanced Functional Materials, EarlyView.Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus +8 more
wiley +1 more source