Practical Considerations in the Design and Use of Non‐Crystalline Metal–Organic Frameworks
This review explores the emerging field of non‐crystalline MOFs ‐ amorphous, liquid, and glassy forms ‐ highlighting how they differ from traditional crystalline MOFs. It discusses their unique synthesis strategies, fundamental principles, and diverse applications.
Hamidreza Mahdavi+8 more
wiley +1 more source
Multiscale Concurrent Topology Optimization and Mechanical Property Analysis of Sandwich Structures. [PDF]
Li Z, Li S, Wang Z.
europepmc +1 more source
Power optimization in fault-tolerant topology control algorithms for wireless multi-hop networks [PDF]
MohammadTaghi Hajiaghayi+2 more
openalex +1 more source
Optimality in fuzzy topological polysystems
openaire +2 more sources
Thermionics in Topological Materials
Thermionics is one of the fundamental energy conversion mechanisms in solid state systems. Recent development in topological materials opens new avenues in developing thermionic systems and devices. Due to the linear energy dispersion and topological protection of charge transport, these new materials are promising candidates for high efficiency ...
Sunchao Huang+8 more
wiley +1 more source
Pentagonal photonic crystal mirrors: scalable lightsails with enhanced acceleration via neural topology optimization. [PDF]
Norder L+7 more
europepmc +1 more source
Design of 3D-printed prostheses for reconstruction of periacetabular bone tumors using topology optimization. [PDF]
Zhu J+8 more
europepmc +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu+9 more
wiley +1 more source
Three-Dimensional Multi-Material Topology Optimization: Applying a New Mapping-Based Projection Function. [PDF]
Simonetti HL+4 more
europepmc +1 more source
Compliance Prediction for Structural Topology Optimization on the Basis of Moment Invariants and a Generalized Regression Neural Network. [PDF]
Zhao Y, Chen Z, Dong Y.
europepmc +1 more source