Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
An Exact Multiple-Time-Step Variational Formulation for the Committor and the Transition Rate. [PDF]
Lorpaiboon C, Weare J, Dinner AR.
europepmc +1 more source
Performance Assessment of ARIMA and LSTM Models in Prediction Using Root Mean Square Error (RMSE)
Andiani Andiani +2 more
openalex +2 more sources
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Machine learning-optimized compact dual-band medical syringe-inspired wearable antenna for efficient WBAN applications. [PDF]
Yahya MS +6 more
europepmc +1 more source
ASSESSMENT OF HYPOTHESES TEST FOR THE COMPONENTS OF MEAN SQUARE ERROR OF PREDICTION
Edênio Detmann +3 more
openalex +1 more source
Anomalous Stiffening of a Conjugated Polymer During Electrochemical Oxidation
The electromechanical response of a thienothiophene‐based conjugated polymer with triethylene glycol side chains is investigated. Electrochemical nanoindentation and atomic force microscopy reveal a modest and reversible increase in elastic modulus at room temperature upon electrochemical oxidation.
Judith Pons i Tarrés +17 more
wiley +1 more source
Total hip arthroplasty in Italy: an observational, population-based study on surgical volume growth from 2001 to 2023 and forecasts until 2050 with six different statistical models. [PDF]
Ciminello E +11 more
europepmc +1 more source
Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework
The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim +15 more
wiley +1 more source

