Title from caption.; Description based on: March/April 1986.; Harvested from the web on 1/31 ...
Ohio. Division of Real Estate.
core +1 more source
Nucci based soliton structures and nonlinear dynamics of the (3+1) dimensional hyperbolic Schrödinger equation. [PDF]
Shahbaz A +6 more
europepmc +1 more source
Fabrication Routes for Ionic Conducting Fiber Strain Sensors
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw +3 more
wiley +1 more source
High-accuracy pseudospectral scheme for fractional diffusion-wave problems based on cardinal functions. [PDF]
Saray BN +5 more
europepmc +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Forecasting the future of American mass shootings with Bayesian agent-based model calibration. [PDF]
Dickson AM, Bhatt M, Yu T, Mofrad MRK.
europepmc +1 more source
Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
wiley +1 more source
Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems. [PDF]
Nyangon J.
europepmc +1 more source
Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen +14 more
wiley +1 more source
Mathematical and Computational Models of Biochemical Reactions and Cell Signaling-From Ordinary Differential Equations to Machine Learning. [PDF]
Matyszczak G.
europepmc +1 more source

