Results 121 to 130 of about 31,116 (305)

Uniqueness for formally determined inverse boundary value problems

open access: yes, 1991
In this paper, we study the inverse conductivity problem in two dimensions. This problem is reduced to a formally determined inverse boundary value problem for the Schrödinger equation. Some recent generic uniqueness results for the inverse problems will
Sun, Ziqi
core   +1 more source

Emergent Spin Supersolids in Frustrated Quantum Materials

open access: yesAdvanced Materials, EarlyView.
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang   +2 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

open access: yesAdvanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen   +7 more
wiley   +1 more source

The Design of Turbomachinery Impellers Based on the Solution of Inverse Boundary Value Problems [PDF]

open access: yesУчёные записки Казанского университета: Серия Физико-математические науки, 2015
The correct design of impellers and choice of the shape of blades are significantly important during the process of creating turbomachines. The development of methods for profiling hydrodynamic cascades with predetermined properties, as well as for stand-
A.V. Potashev, E.V. Potasheva
doaj  

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

open access: yesAdvanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang   +5 more
wiley   +1 more source

Nonlinear integral equations and the iterative solution for an inverse boundary value problem

open access: yes, 2005
Determining the shape of a perfectly conducting inclusion within a conducting medium from voltage and current measurements on the accessible boundary of the medium can be modelled as an inverse boundary value problem for harmonic functions.
Rundell, W., Kress, Rainer
core   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Inverse Boundary-Value-Problems and Applications

open access: yes, 1992
In these notes we give an overview of inverse boundary value problems. In these problems one attemps to discover internal properties of a body by making measurements at the boundary. We concentrate mainly in the problem of determining the conductivity of
Uhlmann, Gunther
core  

An inverse boundary value problem from semiconductor modeling.

open access: yes, 2003
In this thesis, we investigate an inverse boundary value problem arising from the study of semiconductor transistors. The problem is to recover a number of parameters in the coefficient function from the knowledge of the solution at some accessible ...
Lu, Mingying
core   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy