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
Inhibition mechanisms of gas desorption and pressure inversion in water-bearing coal under stepwise decompression via volume expansion. [PDF]
Cheng X +7 more
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
A hybrid empirical and semi analytical inversion approach for remote sensing estimation of SPM in Ebinur Lake China. [PDF]
Liu C +6 more
europepmc +1 more source
Exploring Pb‐Chelation Chemistry in the Crystallization Dynamics of Halide Perovskites
A mechanism of how Pb‐chelation chemistry governs coordination geometry and initial nucleation behavior at the precursor level of halide perovskite, by regulating the deprotonation state of a chelating additive, is elucidated. This allows for innovative reaction‐system design principles that promote coherent growth while suppressing defect formation in
Byeong Jun Kim +13 more
wiley +1 more source
Near-surface geophysics: from measurements to reliable models. [PDF]
Maciuk K, Biswas A, Kumar S, Rai AK.
europepmc +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Xq28 duplication not F8 inversion: integrated genetic reanalysis redefines prenatal carrier diagnosis. [PDF]
Yang X +9 more
europepmc +1 more source
Ultrasensitive Anti‐Stokes Luminescence Thermometry in Transition Metal Dichalcogenide Monolayers
We demonstrate a highly sensitive nanothermometer using anti‐Stokes photoluminescence, also known as photoluminescence upconversion (UPL), in monolayer tungsten disulfide. A strong resonantly enhanced UPL is observed, confirming the central role of optical phonons in the PL upconversion mechanism.
Sharada Nagarkar +6 more
wiley +1 more source
Inversion of kiwifruit canopy nitrogen using UAV multispectral technology and ensemble learning. [PDF]
Zhou B +5 more
europepmc +1 more source

