Transferable generative models bridge femtosecond to nanosecond time-step molecular dynamics. [PDF]
Diez JV, Schreiner M, Olsson S.
europepmc +1 more source
Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang +11 more
wiley +1 more source
Quantifying and comparing causal patterns in stochastic chemical reaction networks. [PDF]
Kahramanoğulları O.
europepmc +1 more source
A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu +5 more
wiley +1 more source
Soliton structures and dynamical characteristics of fractional nonlinear waves in the classical Boussinesq framework. [PDF]
Rimu NN, Islam MA, Dey P.
europepmc +1 more source
An atomically precise platform was developed for investigating single‐molecule charge transport. This innovative platform enables the creation of highly uniform molecular devices using ruthenium‐based molecules. It reveals a significant enhancement in molecular conductance due to the metallic ruthenium center and a unique barrier‐lowering effect during
Jie Guo +15 more
wiley +1 more source
Relative Entropy-Based Reliability Assessment of Hybrid Telecommunication Skeletal Towers. [PDF]
Kamiński M, Bredow R.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li +3 more
wiley +1 more source
Threshold-Filtered Kinetic Monte Carlo Simulation for Real-Time Simulation and Control of Biomass Fractionation. [PDF]
Kim J, Ryu J, Yang Q, Yoo CG, Kwon JS.
europepmc +1 more source

