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Profil bibliographique

Zifan Ivan Wang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

306Publications signalées
4818Citations signalées
15Affiliations récentes

Les institutions déclarées

Les domaines associés

Advancements in Battery MaterialsAdversarial Robustness in Machine Learning2D Materials and ApplicationsSupercapacitor Materials and FabricationAdvanced battery technologies research

Les publications récentes

Accès ouvert 2026 article OpenAlex

Deformation Behavior and Flow Stress Determination During Two-Stage High Shear-Strain Processing of Titanium at Ambient Temperature

Lenka Kunčická, Petr Opěla, Zifan Ivan Wang, Radim Kocich

This study presents a two-stage high shear-strain processing deformation technology, consisting of the intensive plastic deformation method of rotary swaging (RS), in combination with the severe plastic deformation method of continuous equal channel angular pressing (ECAP-Conform). The designed technology is experimentally tested …

cz, gb (code pays fourni par la source)

0 citations Applied Sciences
Accès ouvert 2026 article OpenAlex

Do Technical Indicators Generate Tradable Value? Evidence from Market States, Price-Path Images, and Transaction Costs

Zifan Ivan Wang

This paper examines whether technical information can generate economically meaningful stock portfolio returns under transaction cost constraints. Using daily data for CSI 300 constituent stocks from April 2, 2019, to December 30, 2025, this paper compare basic price-volume variables, traditional technical indicators, …

cn (code pays fourni par la source)

0 citations Advances in Economics Management and Political Sciences
Accès ouvert 2026 article OpenAlex

Pressure-induced thermal expansion anomalies in dhcp iron hydride associated with magnetoelastic coupling

Yuichiro Mori, Katsutoshi Aoki, Hiroyuki Kagi, Masahiro Takano et autres

Iron hydride with a double hexagonal close-packed structure (dhcp-FeHx) undergoes a ferromagnetic-paramagnetic transition without changing its crystal structure. Despite its relevance to metal-hydrogen interactions and magnetically driven elasticity, the extensive investigation of this phase is almost limited to room temperature. Here, we …

us, jp, cn, kr (code pays fourni par la source)

1 citation The Journal of Chemical Physics
2026 article OpenAlex

Multi-modal three-dimensional observation of unknown morphology of Ni4Ti3 and NiTi2 precipitates in NiTi shape memory alloy

Zifan Ivan Wang, Radim Kocich, Lenka Kunčická, Miaomiao Zou

Characterizing the 3D morphology of nano- and micro-scale precipitates in metallic materials remains challenging. By combining 3D focused ion beam imaging with nondestructive synchrotron x-ray ptychographic tomography, this study pioneers a multi-modal imaging approach that unveils the 3D morphology of NiTi2 precipitates …

cz, gb (code pays fourni par la source)

0 citations Applied Physics Letters
Accès ouvert 2026 preprint OpenAlex

Suppression of Metallic Transport in Nitrogen-rich Two-Dimensional Transition Metal Nitrides

Hongze Gao, Da Zhou, Nguyen Tuan Hung, Chengdong Wang et autres

The recent experimental realization of two-dimensional (2D) transition metal nitrides (TMNs, e.g., Mo5N6, δ-MoN, and W5N6) opens new opportunities for exploring their fundamental physical properties at the two-dimensional limit. In this work, we propose a unified picture of transport phenomena in the …

us, tw (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Suppression of Metallic Transport in Nitrogen-rich Two-Dimensional Transition Metal Nitrides

Hongze Gao, Da Zhou, Nguyễn Lương Hưng, Chengdong Wang et autres

The recent experimental realization of two-dimensional (2D) transition metal nitrides (TMNs, e.g., Mo5N6, δ-MoN, and W5N6) opens new opportunities for exploring their fundamental physical properties at the two-dimensional limit. In this work, we propose a unified picture of transport phenomena in the …

0 citations arXiv (Cornell University)
Accès ouvert 2026 article OpenAlex

USP10 deubiquitinase: Physiological function, diseases and therapeutic target (Review)

Linlin Zhang, Huajing Sun, Zifan Ivan Wang, Zhimei Wang et autres

Ubiquitination is crucial for regulating diverse cellular functions, including protein degradation, cell cycle progression, signal transduction and gene expression. This intricate process is mediated by the ubiquitin proteasome system. Within this system, ubiquitin‑specific protease 10 (USP10) is a key member that, through …

cn (code pays fourni par la source)

1 citation International Journal of Molecular Medicine
Accès ouvert 2026 article OpenAlex

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Ivan Wang

Modern electroconductive materials involve copper‐based carbon‐enhanced composites featuring convenient mechanical properties and, simultaneously, favorable electric conductivity. Such composites can be processed by deformation/thermomechanical treatments to introduce advantageous microstructures, further enhancing their performance. The study features powder‐based copper–carbon (Cu/C) composites, fabricated from chemical …

cz (code pays fourni par la source)

2 citations Advanced Engineering Materials
Accès ouvert 2026 conference-paper OpenAlex

PointNet4D: A Lightweight 4D Point Cloud Video Backbone for Online and Offline Perception in Robotic Applications

Yunze Liu, Zifan Ivan Wang, Peiran Wu, Jiayang Ao

Understanding dynamic 4D environments—3D space evolving over time—is critical for robotic and interactive systems. These applications demand systems that can process streaming point cloud video in real-time, often under resource constraints, while also benefiting from past and present observations when available. However, …

cn, gb, au (code pays fourni par la source)

0 citations
Accès ouvert 2026 preprint OpenAlex

Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning

Zifan Ivan Wang, Riccardo De Santi, Xiaoyu Mo, Michael M. Zavlanos et autres

Fine-tuning pre-trained diffusion and flow models to optimize downstream utilities is central to real-world deployment. Existing entropy-regularized methods primarily maximize expected reward, providing no mechanism to shape tail behavior. However, tail control is often essential: the lower tail determines reliability by limiting …

0 citations arXiv (Cornell University)

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