Results 141 to 150 of about 128,236 (311)
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
An Improved Thermal Contact Resistance Rig
P W O'Callaghan, S D Probert
doaj +1 more source
Mean Thermal Contact Resistance of Wavy Solid Surfaces
The effects of surface roughness and waviness on local and mean thermal contact resistance are studied experimentally and theoretically. Six pairs of brass specimens with various roughness and waviness are tested and the mean thermal contact resistances ...
富村, 寿夫 +9 more
core
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
Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene
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
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
A NUMERICAL APPROACH TO OHMIC LOSSES ASSESSMENT IN CONCENTRATING PHOTOVOLTAIC SYSTEMS
It is well known that concentrator solar cells operating under concentration experience a number of physical effects which affect their performances. In particular, ohmic losses can determine a noticeable performance worsening of concentrator solar cells.
Pasquini, Matteo
core
Near‐Infrared Light‐Driven Zn/Au Janus Micromotors for Multiplex SERS Detection of Anticancer Drugs
Zn/Au Janus micromotors, propelled by thermophoretic effects under NIR light, function as active SERS platforms for single and multiplex detection of anticancer drugs. Their dynamic motion enhances analyte exchange at the Au interface, reducing saturation and competitive adsorption, thereby improving sensitivity and extending the linear detection range.
Tijana Maric +8 more
wiley +1 more source
An architecture‐enabled bottom‐heated 3D solar convective evaporator spatially decouples photothermal heating from evaporation, triggering natural convection that intensifies sidewall vapour removal and heat transfer. The system achieves significantly enhanced evaporation rates over 2D and conventional 3D designs while confining salt precipitation to ...
Xiaolong Ma +7 more
wiley +1 more source
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le +6 more
wiley +1 more source

