Ya‐Ping Hsieh
YOU?
Author Swipe
View article: Gradient Plasmonic Nanogap Homojunctions for Hot-Electron-Driven Photocatalysis
Gradient Plasmonic Nanogap Homojunctions for Hot-Electron-Driven Photocatalysis Open
View article: Unpinning the magnetic interface between 2D materials and NiFe for ultra-low coercivity spin valves
Unpinning the magnetic interface between 2D materials and NiFe for ultra-low coercivity spin valves Open
The integration of two-dimensional (2D) materials into spintronic devices could enable unconventional computing paradigms, such as stochastic computing, that surpass CMOS in energy efficiency and device density. However, their implementati…
View article: Observing and Suppressing Metallization in MoS <sub>2</sub> for Near-Ideal Spin Filtering
Observing and Suppressing Metallization in MoS <sub>2</sub> for Near-Ideal Spin Filtering Open
Two-dimensional (2D) transition-metal dichalcogenides (TMDCs) offer band alignments that are well-suited for minority-spin filtering when interfaced with ferromagnets. Unfortunately, interfacial hybridization results in the emergence of me…
View article: Modulating electronic transport properties of wafer-scale vapor–liquid–solid grown tungsten nitride by a vacuum gentle heating method
Modulating electronic transport properties of wafer-scale vapor–liquid–solid grown tungsten nitride by a vacuum gentle heating method Open
We study the electronic transport properties of W 5 N 6 by vacuum gentle heating methods, which are useful ways to probe the electronic transport properties in highly sensitive 2D materials. Importantly, we found stable nearest-neighbor ho…
View article: CNS-PENETRANT NLRP3 INHIBITOR ACHIEVES DURABLE WEIGHT LOSS AND REVERSES HYPOTHALAMIC INFLAMMATION IN DIET-INDUCED OBESITY
CNS-PENETRANT NLRP3 INHIBITOR ACHIEVES DURABLE WEIGHT LOSS AND REVERSES HYPOTHALAMIC INFLAMMATION IN DIET-INDUCED OBESITY Open
The NLRP3 inflammasome is a key mediator of innate immunity that integrates inflammatory and metabolic stress signals. Increased and/or chronic activation of this critical pathway has been implicated in obesity, with hypothalamic neuroinfl…
View article: Interference of resonant energy transfer from wrinkled graphene and surface plasmons: A novel mechanism for enhancement of light–matter interaction
Interference of resonant energy transfer from wrinkled graphene and surface plasmons: A novel mechanism for enhancement of light–matter interaction Open
This study demonstrates a novel coherent interference mechanism of resonant energy transfer between localized surface plasmon resonance (LSPR) and wrinkled graphene, which significantly enhances light–matter interaction. To illustrate the …
View article: Uncovering Stability Origins in Layered Ferromagnetic Electrocatalysts Through Homolog Comparison
Uncovering Stability Origins in Layered Ferromagnetic Electrocatalysts Through Homolog Comparison Open
Magnetic 2D materials offer a compelling platform for next-generation electrocatalysis by enabling spin-dependent reaction pathways. Among them, layered ferromagnets such as Fe3GeTe2 (FGT) have garnered attention for combining intrinsic fe…
View article: Breaking Electrochemical Scaling Laws in Atomically Engineered van der Waals Stack Multisite Edge Catalysts
Breaking Electrochemical Scaling Laws in Atomically Engineered van der Waals Stack Multisite Edge Catalysts Open
Electrocatalysis is key to sustainable energy conversion and storage, but its efficiency is limited by scaling laws between reactant adsorption and desorption. Multisite catalysts promises to overcome these limits, but challenges in fabric…
View article: 2D Atomic Templating for the Large-Scale Synthesis of Metastable CuInS<sub>2</sub> and Its Heterojunctions
2D Atomic Templating for the Large-Scale Synthesis of Metastable CuInS<sub>2</sub> and Its Heterojunctions Open
CuInS2 has emerged as a promising material for sustainable energy technologies due to its combination of attractive electronic, economic, and ecological properties. However, current synthesis routes exhibit limited phase uniform…
View article: Provable Maximum Entropy Manifold Exploration via Diffusion Models
Provable Maximum Entropy Manifold Exploration via Diffusion Models Open
Exploration is critical for solving real-world decision-making problems such as scientific discovery, where the objective is to generate truly novel designs rather than mimic existing data distributions. In this work, we address the challe…
View article: Electron Cloaking in MoS<sub>2</sub> for High-Performance Optoelectronics
Electron Cloaking in MoS<sub>2</sub> for High-Performance Optoelectronics Open
Defects in two-dimensional (2D) materials represent both challenges and opportunities to their optoelectronic performance. While defects limit the carrier mobility in transistors through increased charge scattering, they also enhance 2D ma…
View article: Mitigating Defectiveness in 2D Materials Devices by a Visualization‐Assisted Fabrication Process
Mitigating Defectiveness in 2D Materials Devices by a Visualization‐Assisted Fabrication Process Open
2D materials are considered promising alternatives for traditional semiconductors in future electronics, but despite significant research efforts, their defectiveness remains too high for modern device requirements. Here, a new strategy is…
View article: Ultra-Low Coercivity in 2d Materials-Based Magnetic Tunnel Junction
Ultra-Low Coercivity in 2d Materials-Based Magnetic Tunnel Junction Open
View article: The Importance of Catalytic Effects in Hot-Electron-Driven Chemical Reactions
The Importance of Catalytic Effects in Hot-Electron-Driven Chemical Reactions Open
Hot electrons (HEs) represent out-of-equilibrium carriers that are capable of facilitating reactions which are inaccessible under conventional conditions. Despite the similarity of the HE process to catalysis, optimization strategies such …
View article: Magnetic Microactuators Based on Particle Jamming
Magnetic Microactuators Based on Particle Jamming Open
View article: Review of Extrinsic Factors That Limit the Catalytic Performance of Transition Metal Dichalcogenides (TMDs) in Hydrogen Evolution Reactions (HER)
Review of Extrinsic Factors That Limit the Catalytic Performance of Transition Metal Dichalcogenides (TMDs) in Hydrogen Evolution Reactions (HER) Open
Transition metal dichalcogenides (TMDs) have garnered attention as potential catalysts for water splitting owing to their unique structures, diverse electronic properties, and composition from earth‐abundant elements. While certain TMD cat…
View article: Enhancing the Electrochemical Activity of 2D Materials Edges through Oriented Electric Fields
Enhancing the Electrochemical Activity of 2D Materials Edges through Oriented Electric Fields Open
The edges of 2D materials have emerged as promising electrochemical catalyst systems, yet their performance still lags behind that of noble metals. Here, we demonstrate the potential of oriented electric fields (OEFs) to enhance the electr…
View article: Gas phase alloyed crystalline S–Se dielectrics with high ionic mobility
Gas phase alloyed crystalline S–Se dielectrics with high ionic mobility Open
The advancement of future electronic devices necessitates dielectric materials with enhanced compositional complexity and improved capabilities. We here demonstrate a gas-phase alloying approach that yields ultrathin and crystalline dielec…
View article: Z-Laminating Assembly of Graphene Nanoflakes for Super-Strong Membranes and Functional Coatings
Z-Laminating Assembly of Graphene Nanoflakes for Super-Strong Membranes and Functional Coatings Open
We demonstrate the strengthening of graphene, an atomically thin carbon allotrope, by out-of-plane folding. Through lateral confinement of graphene at the water–air interface, nanoscale buckling was induced in suspended flakes, leading to …
View article: Harnessing Quantum Capacitance in 2D Material/Molecular Layer Junctions for Novel Electronic Device Functionality
Harnessing Quantum Capacitance in 2D Material/Molecular Layer Junctions for Novel Electronic Device Functionality Open
Two-dimensional (2D) materials promise advances in electronic devices beyond Moore’s scaling law through extended functionality, such as non-monotonic dependence of device parameters on input parameters. However, the robustness and perform…
View article: Transferrable Alumina Membranes as High‐Performance Dielectric for Flexible 2D Materials Devices
Transferrable Alumina Membranes as High‐Performance Dielectric for Flexible 2D Materials Devices Open
2D materials have shown great promise for novel electronic functionality. A common challenge for 2D materials‐based transistors is forming a high‐performance gate terminal due to the challenges of depositing a dielectric of sufficient qual…
View article: Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm
Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm Open
Many problems in machine learning can be formulated as solving entropy-regularized optimal transport on the space of probability measures. The canonical approach involves the Sinkhorn iterates, renowned for their rich mathematical properti…
View article: Riemannian stochastic optimization methods avoid strict saddle points
Riemannian stochastic optimization methods avoid strict saddle points Open
Many modern machine learning applications - from online principal component analysis to covariance matrix identification and dictionary learning - can be formulated as minimization problems on Riemannian manifolds, and are typically solved…
View article: Ultrahigh Photoresponsivity of Gold Nanodisk Array/CVD MoS$_2$-based Hybrid Phototransistor
Ultrahigh Photoresponsivity of Gold Nanodisk Array/CVD MoS$_2$-based Hybrid Phototransistor Open
Owing to its atomically thin thickness, layer-dependent tunable band gap, flexibility, and CMOS compatibility, MoS$_2$ is a promising candidate for photodetection. However, mono-layer MoS2-based photodetectors typically show poor optoelect…
View article: A unified stochastic approximation framework for learning in games
A unified stochastic approximation framework for learning in games Open
View article: Aligned Diffusion Schroedinger Bridges
Aligned Diffusion Schroedinger Bridges Open
We add the processed and prepared raw datasets for the D3PM dataset. Paper Abstract Diffusion Schrödinger bridges (DSB) have recently emerged as a powerful framework for recovering stochastic dynamics via their marginal o…
View article: Aligned Diffusion Schroedinger Bridges
Aligned Diffusion Schroedinger Bridges Open
We add the processed and prepared raw datasets for the D3PM dataset. Paper Abstract Diffusion Schrödinger bridges (DSB) have recently emerged as a powerful framework for recovering stochastic dynamics via their marginal o…
View article: Unbalanced Diffusion Schrödinger Bridge
Unbalanced Diffusion Schrödinger Bridge Open
Schrödinger bridges (SBs) provide an elegant framework for modeling the temporal evolution of populations in physical, chemical, or biological systems. Such natural processes are commonly subject to changes in population size over time due…
View article: Aligned Diffusion Schrödinger Bridges
Aligned Diffusion Schrödinger Bridges Open
Diffusion Schrödinger bridges (DSB) have recently emerged as a powerful framework for recovering stochastic dynamics via their marginal observations at different time points. Despite numerous successful applications, existing algorithms fo…
View article: Folding Graphene into Super-Strong, Z-Laminated Membranes
Folding Graphene into Super-Strong, Z-Laminated Membranes Open