Results 31 to 40 of about 30,371 (174)

Using Empirical Mode Decomposition to Study Periodicity and Trends in Extreme Precipitation [PDF]

open access: yes, 2015
Classically, we look at annual maximum precipitation series from the perspective of extreme value statistics, which provides a useful statistical distribution, but does not allow much flexibility in the context of climate change.
Pfister, Noah
core   +1 more source

Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks

open access: yes, 2018
We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks perform inference of high-dimensional dynamical systems in their reduced ...
Byeon, Wonmin   +4 more
core   +1 more source

Universal Solvent Escape Strategies for Efficient Curing of Hydrogen‐Bond‐Rich 3D Printing Inks

open access: yesAdvanced Science, EarlyView.
This study developed a new 3D printing method for hydrogen‐bonded polymers by combining solvent replacement, nanoparticles, and optimized printing paths. This allows fast, precise scaffold fabrication. The scaffolds can be easily customized and release therapeutic agents slowly through protonation, enabling personalized bone, blood vessel, and nerve ...
Jie Chen   +11 more
wiley   +1 more source

Initial Conditions for Large Cosmological Simulations

open access: yes, 2008
This technical paper describes a software package that was designed to produce initial conditions for large cosmological simulations in the context of the Horizon collaboration. These tools generalize E.
C. Pichon   +6 more
core   +2 more sources

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

open access: yesAdvanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou   +4 more
wiley   +1 more source

Self‐Assembled Myricetin‐Arginine Conjugate Nanozymes for Targeted Suppression of Joint Inflammation and Osteoclastogenesis in Rheumatoid Arthritis

open access: yesAdvanced Science, EarlyView.
Carrier‐free myricetin‐arginine conjugate nanozymes (MANZs) have been fabricated through a Mannich reaction and spontaneous self‐assembly. MANZs selectively accumulate in inflamed joints by targeting M1 macrophages via CAT2‐mediated uptake. The nanozymes can effectively modulate macrophage polarization, suppress osteoclast differentiation, and mitigate
Jiachang Hong   +14 more
wiley   +1 more source

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

open access: yesAdvanced Science, EarlyView.
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng   +8 more
wiley   +1 more source

Resolving Oxidative and Corrosive Calendar‐Aging via Electrolyte Engineering for Stable Lithium Metal Batteries

open access: yesAdvanced Energy Materials, EarlyView.
A weakly solvating ether solvent, 1,2‐dimethoxypropane (DMP), is proposed for use in localized high‐concentration electrolytes (LHCEs) for lithium metal batteries (LMBs). These DMP‐based LHCEs simultaneously suppress lithium metal corrosion and cathode degradation—two interrelated processes that accelerate calendar aging of LMBs.
Jisub Kim   +14 more
wiley   +1 more source

Thermal conductivity of strained silicon: molecular dynamics insight and kinetic theory approach

open access: yes, 2019
In this work, we investigated tensile and compression forces effect on the thermal conductivity of silicon. We used equilibrium molecular dynamics approach for the evaluation of thermal conductivity considering different interatomic potentials.
Chantrenne, Patrice   +4 more
core   +3 more sources

Decoding Short‐Range Order in Amorphous Two‐Dimensional Nanosheets for Efficient and Durable Ampere‐Level Seawater Electrolysis: A Case Study of Amorphous Ni(OH)2

open access: yesAdvanced Energy Materials, EarlyView.
This work uncovers the atomic‐scale origins of exceptional HER performance in amorphous Ni(OH)2 nanosheets by combining atom probe tomography, DFT simulations, and operando spectroscopy. We identify distinct short‐range‐order motifs that accelerate water dissociation, proton transport, and hydrogen adsorption. Embedding Pt single atoms further enhances
Xin Geng   +4 more
wiley   +1 more source

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