Results 151 to 160 of about 49,326 (299)
Tunable Thermoshrinkable Hydrogels for 4D Fabrication of Cell‐Seeded Channels
A thermoresponsive polymer with methacrylate groups for photo‐cross‐linking, based on polyethylene glycol, N‐isopropylacrylamide, and 2‐hydroxyethyl acrylate is synthetized to yield hydrogels that shrink upon temperature increase. The new polymer enables the fabrication of cell‐laden perfusable channels with diameters below 200 µm by combining ...
Greta Di Marco+12 more
wiley +1 more source
Ordinary matter coupled to light weakly interacting bosons can lead to the formation of a macroscopic bosonic field in the vicinity of large matter concentrations such as ordinary or neutron stars.
Arturo de Giorgi, Joerg Jaeckel
doaj +1 more source
High Thermoelectric Performance in Low‐Cost Cu8SiSxSe6‐x Argyrodite
This study discovers the great potential of Cu8SiSxSe6‐x argyrodites as new, low‐cost, Te‐free thermoelectric materials. The proposed defect scheme suppresses the phase transition, enhances the weighted mobility and optimizes the grain boundary contacts.
Taras Parashchuk+7 more
wiley +1 more source
Jupiter-like planets might be common in a low-density environment. [PDF]
Gratton R+8 more
europepmc +1 more source
A new small‐molecule acceptor (SMA‐Ph‐CF3) is developed using a dual side chain functionalization strategy that incorporates trifluoromethyl and phenyl groups. This approach enables precise tuning of blend morphology, leading to the fabrication of high‐performance organic solar cells with a power conversion efficiency of 18.5%.
Shinbee Oh+5 more
wiley +1 more source
The Imprint of Dark Matter on the Galactic Acceleration Field
Measurements of the accelerations of stars enabled by time-series extreme-precision spectroscopic observations, pulsar timing, and eclipsing binary stars in the solar neighborhood offer insights into the mass distribution of the Milky Way that do not ...
Arpit Arora+8 more
doaj +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer+10 more
wiley +1 more source
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida+16 more
wiley +1 more source
Transmuted gravity wave signals from primordial black holes
Primordial black holes (PBHs) interacting with stars in binaries lead to a new class of gravity wave signatures that we explore. A small 10−16–10−7M⊙ PBH captured by a neutron star or a white dwarf will eventually consume the host.
Volodymyr Takhistov
doaj
To Be or Not To Be: The Role of Rotation in Modeling Galactic Be X-Ray Binaries
Be X-ray binaries (Be-XRBs) are one of the largest subclasses of high-mass X-ray binaries, comprised of a rapidly rotating Be star and neutron star companion in an eccentric orbit, intermittently accreting material from a decretion disk around the donor.
Kyle Akira Rocha+13 more
doaj +1 more source