Results 221 to 230 of about 87,734 (276)

The Dimensional Revolution of Phosphorus: From Allotropicity to Battery System Applications

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Phosphorus‐based materials are promising high‐capacity anodes classified by dimension (0D–3D) to systematically explore their properties and composite strategies. When combined with materials such as carbon to form heterostructures, the electrical conductivity and stability are effectively enhanced.
Shuhan Zhang   +8 more
wiley   +1 more source

Enabling High‐Loading Aqueous Zinc–Sulfur Batteries Via a Ni Single‐Atom Catalytic Host with Hierarchical Sulfur Reservoirs

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A Ni single‐atom‐anchored N‐doped carbon hollow host synergizes atomic Ni‐N4 sites with a hierarchical porous skeleton, enabling high‐sulfur‐loading aqueous Zn–S batteries with high capacity, low polarization, and excellent cycling stability for flexible energy storage.
Zuoshu Wang   +4 more
wiley   +1 more source

A nanopore-gated sub-attoliter silicon nanocavity for single-molecule trapping and analysis

open access: yes
Zhang Z   +7 more
europepmc   +1 more source

Cost-effective and flexible preimplantation genetic testing (PGT) by nanopore adaptive sampling. [PDF]

open access: yesJ Nanobiotechnology
Zhang Z   +15 more
europepmc   +1 more source

Atomic Scale Insight Into High Voltage Degradation Mechanism in YSZ Electrolyte for Solid Oxide Electrolyzer Applications

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The evolution of yttria‐stabilized zirconia (YSZ) electrolyte microstructure after testing at progressively high voltages was captured at the micro‐ and atomic‐scale levels to determine the operational boundaries of a solid oxide electrolysis cell (SOEC).
Tian Liu   +9 more
wiley   +1 more source

Tracking single-molecule ferritin reassembly and disassembly using polymer-coated nanopores. [PDF]

open access: yesNanoscale
Assadipapari M   +14 more
europepmc   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan   +8 more
wiley   +1 more source

SquiDBase: a community resource of raw nanopore data from microbes. [PDF]

open access: yesNAR Genom Bioinform
Cuypers WL   +14 more
europepmc   +1 more source

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