Results 161 to 170 of about 5,539,841 (381)
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins+2 more
wiley +1 more source
Determining the atomic charge of calcium ion requires the information of its coordination geometry in an EF-hand motif. [PDF]
Zhang P, Han J, Cieplak P, Cheung MS.
europepmc +1 more source
Announcement: Election of Officers of the Division of Chemical Physics of the APS [PDF]
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The glomerular filtration barrier (GFB) is the first step of blood filtration by the kidneys. The concerning increase of kidney diseases makes the development of new models essential. In this context, microphysiological glomerular filtration barriers focus on closely reproducing the physiological architecture of the in vivo GFB: podocytes, glomerular ...
Manon Miran+5 more
wiley +1 more source
Computation of host-guest binding free energies with a new quantum mechanics based mining minima algorithm. [PDF]
Xu P+7 more
europepmc +1 more source
Announcement: The result of the election of new officers, Division of Chemical Physics, APS [PDF]
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Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee+3 more
wiley +1 more source
In this work, we report on the concurrent emergence of the directional Kondo behavior and incommensurate magnetic ordering in a layered material. We employ temperature- and magnetic field-dependent resistivity measurements, susceptibility measurements ...
José Guimarães+6 more
doaj +1 more source
Chemical physics of solids and their surfaces. Vol. 7edited by M. W. Roberts and J. M. Thomas [PDF]
Vincenzo Massarotti
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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source