Results 201 to 210 of about 1,708,303 (255)

Theoretical Design of All-Optical Universal Logic via Multistage FRET-STED Energy Cascades in Fluorescent Protein Nanoclusters. [PDF]

ACS Omega
Rakos B.
europepmc   +1 more source

Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science

Advanced Intelligent Systems, EarlyView.
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska, Joanna Neubauer, Monika Sztuder, Witold Taisner, Agnieszka Hryniewicka, Julia Kolodziejczyk, Marta Eliza Plonska‐Brzezinska, Dariusz Brzezinski   +7 more
wiley   +1 more source

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

On Quantum Relations. [PDF]

Entropy (Basel)
Dubois F, Toffano Z.
europepmc   +1 more source

Quantifying Structure‐Dependent Rigidity of 3D DNA Origami Boxes

Advanced Intelligent Systems, EarlyView.
We investigate the mechanical stability of a hollow 3D DNA origami box during assembly using liquid AFM imaging and finite element simulations. As structural completeness increases from flat sheets through intermediate assemblies to a closed box, rigidity improves.
Judith Zubia‐Aranburu, Reza Zadegan, Jens Vinge Nygaard, Jørgen Kjems, Ramesh Subramani, Mingdong Dong   +5 more
wiley   +1 more source

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +4 more
wiley   +1 more source

Building Chemistry from "Lego" Blocks: Metal-Organic Frameworks after the 2025 Nobel Prize. [PDF]

ACS Cent Sci
Thaggard GC, Smith DN, Basak S, Maldeni Kankanamalage BKP, Morris AJ, Shustova NB.   +5 more
europepmc   +1 more source

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

Advanced Intelligent Systems, EarlyView.
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe, Eleonora Raimondo, Andrea Grimaldi, Pedram Khalili Amiri, Stefano Chiappini, Anna Giordano, Mario Carpentieri, Hyunsoo Yang, Massimo Chiappini, Giovanni Finocchio   +9 more
wiley   +1 more source

Reconfigurable Optoelectronic Logic Gates With Wavelength-Dependent Bipolar Photoresponse From ReS₂/Gr/h-BN/Gr Heterojunctions. [PDF]

Small
Wang J, Du S, Wu H, Pan J, Sun Y, Wang Y, Ali N, Guo D, Pi X.   +8 more
europepmc   +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source