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
Illumination Sensor for Reflection-Based Characterisation of Technical Surfaces. [PDF]
Sliti T +5 more
europepmc +1 more source
Derived Projective Covers and Koszul Duality of Simple-Minded and Silting Collections [PDF]
Lukas Bonfert
openalex +1 more source
Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam
Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
Action of the Euclidean versus projective group on an agent's internal space in curiosity driven exploration. [PDF]
Sergeant-Perthuis G +5 more
europepmc +1 more source
A Novel Approach to Estimate the Transition Temperature via Dynamic Nanoindentation
A new dynamic nanoindentation‐based method was developed that uses the stiffness ratio as an indicator of the elastic–plastic deformation contributions at different temperatures. The approach successfully identified transition temperatures in ferritic steel and distinguished them from continuously ductile austenitic steel.
Stefan Zeiler +4 more
wiley +1 more source
A nonlinear exaggerated kernel framework for expressive hair motion in tracking solution-based simulation. [PDF]
Park D, Kim JH.
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
Relative-Height Image Generation from Long-Range Airborne Streak-Tube Imaging LiDAR for Wide-Area Building- Structure Mapping. [PDF]
Dong C +6 more
europepmc +1 more source

