Results 71 to 80 of about 273,630 (297)

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

open access: yesAdvanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu   +13 more
wiley   +1 more source

A new test procedure to validate tensile dynamic mechanical properties of sheet metals and alloys in automotive crash applications [PDF]

open access: yes, 2008
A thin walled open channel beam subjected to a 3-point bend and constant velocity boundary condition is investigated to establish its potential to validate material performance for automotive crash applications.
Buckley, M.A., Schley, C.A., Wood, Paul
core  

Identifying beliefs underlying pre-drivers’ intentions to take risks: an application of the theory of planned behaviour [PDF]

open access: yes, 2016
Novice motorists are at high crash risk during the first few months of driving. Risky behaviours such as speeding and driving while distracted are well-documented contributors to crash risk during this period.
Aarts   +56 more
core   +1 more source

Crash Risk in Currency Returns [PDF]

open access: yesJournal of Financial and Quantitative Analysis, 2012
We develop an empirical model of bilateral exchange rates. It includes normal shocks with stochastic variance and jumps in an exchange rate and in its variance. The probability of a jump in an exchange rate corresponding to depreciation (appreciation) of the U.S. dollar is increasing in the domestic (foreign) interest rate. The probability of a jump in
Jeremy Graveline   +2 more
openaire   +2 more sources

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

open access: yesAdvanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin   +11 more
wiley   +1 more source

PRODUCTIVITY UNCERTAINTY AND STOCK PRICE CRASH RISK

open access: yesApplied Finance Letters, 2023
This study examines the impact of productivity uncertainty on stock price crash risk. Empirical results show that higher productivity uncertainty contributes to higher stock price crash risk.
Huaibing Yu
doaj  

What is the impact of stock market contagion on an investor's portfolio choice? [PDF]

open access: yes, 2009
Stocks are exposed to the risk of sudden downward jumps. Additionally, a crash in one stock (or index) can increase the risk of crashes in other stocks (or indices).
Branger, Nicole   +2 more
core   +1 more source

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

open access: yesAgribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Does ESG report greenwashing increase stock price crash risk?

open access: yesChina Journal of Accounting Studies
From the perspective of non-financial information greenwashing, this paper investigates the impact mechanism of environmental, social and governance (ESG) report greenwashing on stock price crash risk.
Guangrui Liu   +4 more
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

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