A5101898522- Supercapacitor Materials and Fabrication
- Advanced Sensor and Energy Harvesting Materials
- Conducting polymers and applications
- Machine Learning in Materials Science
- Gas Sensing Nanomaterials and Sensors
- Electrochemical sensors and biosensors
- Topological Materials and Phenomena
- Perovskite Materials and Applications
- Solid-state spectroscopy and crystallography
- Polymer crystallization and properties
- Acoustic Wave Resonator Technologies
- Dielectric materials and actuators
- MXene and MAX Phase Materials
- Advancements in Battery Materials
- Analytical Chemistry and Sensors
- Advanced Thermoelectric Materials and Devices
- Advanced battery technologies research
- Ferroelectric and Piezoelectric Materials
- Aerogels and thermal insulation
- Data Quality and Management
- Soft Robotics and Applications
- Advanced Manufacturing and Logistics Optimization
- Synthesis and Catalytic Reactions
- Thermal properties of materials
- Sulfur-Based Synthesis Techniques
University of California, Berkeley
2025
Lawrence Berkeley National Laboratory
2025
Southeast University
2024
Beijing Institute of Technology
2023
Sichuan University
2017-2022
Chongqing University of Posts and Telecommunications
2022
State Council of the People's Republic of China
2020
University of California, Santa Barbara
2019-2020
Chengdu University
2020
National Engineering Research Center of Electromagnetic Radiation Control Materials
2019
Abstract Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements led to universal MLIPs (uMLIPs) that are pre-trained on diverse datasets, providing opportunities force fields and foundational machine models. However, their performance in extrapolating out-of-distribution complex environments remains unclear. In this study, we highlight consistent potential energy surface (PES) softening effect three uMLIPs: M3GNet, CHGNet,...
The layer-by-layer structure formed by the synergistic effect of GO and AgNWs endows strain sensors with high sensitivity a wide working range.
Compressible and elastic N-doped porous carbon nanofiber aerogels are designed used as binder-free supercapacitor electrodes.
High- T c lead-free ferroelastic semiconductor ( R / S -CTA) 2 SbCl 5 was obtained through an H/OH-substitution-induced homochirality strategy, and undergoes phase transition at 410 K accompanied by switching between the SHG-active SHG-inactive states.
Using a pressuring and shearing device (PSD), we explored the simultaneous effects of pressure flow on β-crystal formation. Interestingly, plays versatile role in formation isotactic polypropylene (iPP) mixed with β-nucleating agent (β-NA) when field exists simultaneously. At low (5 MPa), mass β-crystals can be obtained over entire range applied shear rates (0.0–24.0 s–1). As increases (50–100 weak (3.2 s–1) profoundly suppress When elevating to 150 MPa, cannot generated. The window produce...
Recently, Cd3As2 has attracted intensive research interest as an archetypical Dirac semimetal, hosting three-dimensional linear-dispersive electronic bands near the Fermi level. Previous studies have shown that single-crystalline anomalously low lattice thermal conductivity, ranging from 0.3 W/mK to 0.7 at 300 K, which been attributed point defects. In this work, we combine first-principles dynamics calculations and temperature-dependent high-resolution Raman spectroscopy of high-quality...
Topological phase transitions occur when the electronic bands change their topological properties, typically featuring closing of bandgap. While influence on and optical properties has been extensively studied, its implication phononic thermal transport remains unexplored. In this work, we use first-principles simulations to show that certain phonon modes are significantly softened near transitions, leading increased phonon-phonon scattering reduced lattice conductivity. We demonstrate...
Abstract A rhodium(III)‐catalyzed C−H activation and thiolation of azobenzene with disulfide was developed. broad range azobenzenes were thiolated high regioselectivity to form mono‐ ortho ‐substituted products in moderate excellent yields up 99 %. The catalytic system could also be applied for the synthesis a selenylated product benzothiophene.
The development of flexible sensors based on laser-induced graphene (LIG) has recently attracted much attention. It was commonly generated by laser-ablating commercial polyimide (PI). However, the weak mechanical extensibility PI limits and diversified applications LIG-based sensors. In this work, we adopted medical polyurethane (PU) tapes to peel off LIG developed wearable proposed LIG/PU composite structure. Compared with other methods for transfer, PU tape many advantages, including a...
The development of flexible sensors based on laser-induced graphene (LIG) has recently attracted much attention. It was commonly generated by laser-ablating commercial polyimide (PI). However, the weak mechanical extensibility PI limits and diversified applications LIG-based sensors. In this work, we adopted medical polyurethane (PU) tapes to peel off LIG developed wearable proposed LIG/PU composite structure. Compared with other methods for transfer, PU tape many advantages including a...
The preparation of recyclable cross-linked polymers by combining biomass-based resources with dynamic covalent bonds is a promising strategy for the sustainable and thermosetting materials. In this paper,...
Among the chloride-based Li-ion solid electrolytes, Li 2 ZrCl 6 (LZC) have emerged as potential candidates due to their affordability, moisture stability, and high ionic conductivity. LZC synthesized by solid-state heating exhibits limited conductivity while mechanochemical ball-milled material is more conductive. In this computational study, we integrate thermodynamic modeling, using cluster-expansion Monte Carlo, kinetic molecular dynamics, investigate whether cation disorder can be...
Large-scale simulations with complex electron interactions remain one of the greatest challenges for atomistic modeling electrochemical systems. Our recent work, Crystal Hamiltonian Graph Neural Network (CHGNet), presents foundational graph-neural-network-based machine-learning interatomic potential (MLIP). The inclusion charge information by magnetic moment prediction enables CHGNet to better describe both atomic and electronic degrees freedom, which opens possibility a understanding...
The study of vascular robots has become a new research hotspot in the interdisciplinary field and is pivotal importance to minimally invasive therapy. In this paper, we focus on development ordering scheme robot, establish optimal model robot based idea dynamic programming, calculate minimum operating cost through LINGO software provide specific weekly for hospital order robot. Firstly, established bottom-up solution programming solve scheme. Second, mind map format adopted sort out problem,...