Dalian University of Technology

About: Dalian University of Technology is a education organization based out in Dalian, China. It is known for research contribution in the topics: Catalysis & Finite element method. The organization has 60890 authors who have published 71921 publications receiving 1188356 citations. The organization is also known as: Dàlián Lǐgōng Dàxué.

A Flexible TiO2(B)‐Based Battery Electrode with Superior Power Rate and Ultralong Cycle Life

Abstract: A flexible film electrode is fabricated by growing TiO2 (B) nanosheets on electrospun carbon nanofiber fabric. The hybrid electrode exhibits remarkable electrochemical performance with high reversible capacity, excellent rate capability, and ultralong cycle life for thousands of cycles, which makes it highly attractive for high-power flexible lithium-ion batteries.

Stretchable GaAs Photovoltaics with Designs That Enable High Areal Coverage

Abstract: Recent research in advanced materials and mechanics demonstrates the possibility for integrating inorganic semiconductors with soft, elastomeric substrates to yield systems with linear elastic mechanical responses to strains that signifi cantly exceed those associated with fracture limits of the constituent materials (e.g. ∼ 1% for many inorganics). This outcome can provide stretching to strain levels of tens of percent (in extreme cases, more than 100%), for diverse, reversible modes of deformation, including bending, twisting, stretching or compressing. [ 1–7 ]

A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization

Abstract: This technical note presents a second-order multi-agent network for distributed optimization with a sum of convex objective functions subject to bound constraints. In the multi-agent network, the agents connect each others locally as an undirected graph and know only their own objectives and constraints. The multi-agent network is proved to be able to reach consensus to the optimal solution under mild assumptions. Moreover, the consensus of the multi-agent network is converted to the convergence of a dynamical system, which is proved using the Lyapunov method. Compared with existing multi-agent networks for optimization, the second-order multi-agent network herein is capable of solving more general constrained distributed optimization problems. Simulation results on two numerical examples are presented to substantiate the performance and characteristics of the multi-agent network.