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Key research themes
1. How has quantum tunneling theory evolved and been applied in various physical contexts?
This research theme focuses on the foundational development of quantum tunneling theory since its inception in the early 20th century and its subsequent application to atomic, molecular, semiconductor, and condensed matter systems. Understanding tunneling as a fundamental quantum mechanical phenomenon has been crucial in explaining processes such as electron emission under strong fields, molecular dissociation, and various tunneling-induced transport phenomena in solids.
Key finding: Provides a comprehensive historical overview tracing quantum tunneling from de Broglie's wave-particle duality hypothesis through Schrodinger's wave equation formalism establishing nonzero wavefunctions in classically... Read more
Key finding: Extends tunneling theory by incorporating incidence angle of particles relative to the tunneling barrier normal, using boundary conditions and Snell's law to derive angular dependence of tunneling probability. Finds that for... Read more
Key finding: Though focused on virtual motion perception, this paper connects psychological interpretations of 'tunnel effect' as an analogy to spatial-temporal perception in moving observers. It demonstrates how vection induced by... Read more
2. What advances have been made in modeling and understanding the physics of tunneling phenomena in classical hydrodynamic and active particle systems mimicking quantum-like tunneling?
This theme investigates theoretical and computational models of classical systems exhibiting tunneling analogues, such as hydrodynamic pilot-wave droplets and active particles in confining potentials. These systems show emergent features reminiscent of quantum tunneling, including probabilistic barrier crossing, discrete state quantization, and intermittency. Such studies deepen our physical understanding by bridging classical nonlinear dynamics and quantum phenomena analogies.
Key finding: Develops a theoretical model derived from Navier-Stokes reductions to describe wave-particle hydrodynamic associations in a fluid bath interacting with submerged barriers. Captures experimentally observed probabilistic... Read more
Key finding: Introduces a Lorenz-like dynamical system derived from an integro-differential equation modeling a one-dimensional self-propelled wave-particle entity (WPE) in a double-well potential. Reports discrete limit cycles analogous... Read more
3. How do ground and structural engineering approaches model and mitigate tunneling effects on surrounding geological materials and infrastructures?
This theme encompasses applied geotechnical and civil engineering studies aiming to understand and model the mechanical interactions between tunnels, surrounding soils or rocks, and built structures, especially under complex conditions such as fault crossings, seismic loading, and variable ground properties. It includes numerical simulations and experimental validations focused on tunnel stability, induced ground displacement, and structural response to tunneling, crucial for safe underground construction and urban infrastructure resilience.
Key finding: Using advanced 3D finite difference numerical simulations validated by centrifuge tests, the study evaluates the performance of segmented versus continuous concrete tunnel linings under reverse fault displacements in the... Read more
Key finding: Introduces the concept of Specific Tunnel Length (STL) to define minimal representative tunnel length in numerical simulations of groundwater inflow. Employing a 3D distinct element method, it quantitatively relates rock... Read more
Key finding: Finite element analysis under plane strain conditions shows that dynamic soil-structure-structure interaction significantly alters seismic responses of tunnels and surface structures. Results indicate that increased adjacency... Read more
Discussion: Effect of soil models on the prediction of tunnelling-induced deformations of structures
Key finding: Compares centrifuge experiments and finite element analyses using different soil constitutive models for predicting ground volume loss and corresponding support pressures in tunneling. Identifies discrepancies across models... Read more
Key finding: Develops artificial neural network integrated with partial dependency analysis to capture nonlinear interaction effects of tunneling operational parameters, soil geotechnical indices, and tunnel geometry on surface and... Read more