Results 151 to 160 of about 2,407,465 (287)
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Routes for breaching and protecting genetic privacy. [PDF]
Erlich Y, Narayanan A.
europepmc +1 more source
Top‐down ultrasonication produces highly emissive Cs2ZrCl6:Te4+ nanocrystals (NCs) with a PLQY of 65%, which is higher compared to that of the NCs synthesized by typical bottom‐up hot‐injection synthesis. The colloidal Cs2ZrCl6:Te4+ NCs have been found to be potential candidates for x‐ray scintillation imaging.
Yang Liu +12 more
wiley +1 more source
Forensic STR Loci and Schizophrenia: An Exploration of Implications for Forensic Applications and Genetic Privacy. [PDF]
Yang Q +6 more
europepmc +1 more source
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
A Qualitative Study of Pregnant Patient Perspectives on Genetic Privacy of Cell-Free DNA and Optimal Design of a Prenatal Genetics Video-Based Educational Intervention. [PDF]
Thorsen MM +7 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source

