Results 241 to 250 of about 22,658 (300)
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source
Kernel-based dynamic ensemble approach for classifying imbalanced data with overlapping classes. [PDF]
Abokadr S +3 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
Quantumness speeds up quantum thermodynamics processes. [PDF]
Luo MX.
europepmc +1 more source
Anti-concentration theorems for schemes showing a quantum computational supremacy
Dominik Hangleiter +3 more
openalex +1 more source
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Numerically exact configuration interaction at quadrillion-determinant scale. [PDF]
Shayit A +7 more
europepmc +1 more source
Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley +1 more source
Artificial intelligence in financial market prediction: advancements in machine learning for stock price forecasting. [PDF]
Rohan A +5 more
europepmc +1 more source

