Results 151 to 160 of about 1,809,083 (306)
Verification-Guided Soft Error Resilience [PDF]
Sanjit A. Seshia +2 more
openaire +2 more sources
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
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
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
Retraction Note: Advances in Radiotherapy for Soft Tissue Sarcomas in 2025: A Review. [PDF]
Yang YY, Xie L, Sun X, Xu J, Ren G.
europepmc +1 more source
SoftArch: An architectural-level tool for modeling and analyzing soft errors
Soft errors are a growing concern for processor reliability. Recent work has motivated architecture-level studies of soft errors since the architecture can mask many raw errors and architectural solutions can exploit workload knowledge.
Jude A. Rivers +3 more
core
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Improvement of Soft Tissue Contrast and CT Number Accuracy in Proton Therapy CBCT With Hardware-based Scatter Suppression: Results From a Prospective Trial. [PDF]
Pyakurel U +9 more
europepmc +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Adaptive Kernel Density Soft-Gating for Robust GNSS/INS Georeferencing of Highly Dynamic Remote-Sensing Platforms Under Measurement Outliers. [PDF]
Feng K, Li J, Sun Z.
europepmc +1 more source

