Results 161 to 170 of about 81,918 (262)

Local Spin Density Approximation Strongly Improved by a Better-Informed Local Scaling of Its Self-Interaction Correction. [PDF]

J Chem Theory Comput
Shahi C, Maniar R, Ning J, Sah RK, Pederson MR, Ruzsinszky A, Peralta JE, Jackson KA, Perdew JP.   +8 more
europepmc   +1 more source

Rural Labor Supply and Economic Opportunities: Commuting, Migration, Tariffs, and Immigration

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Some rural counties remain dependent on agricultural or manufacturing jobs, but an increasing proportion have diversified economics. Rural counties also differ in their abilities to commute to an urban market characterized by higher wages and labor productivity.
Peter F. Orazem, Mary C. Ahearn
wiley   +1 more source

Physics-Constrained Neural ODEs for MXene Bandgap Prediction with Conformal Uncertainty. [PDF]

Nanomaterials (Basel)
Kati N, Ucar F.
europepmc   +1 more source

Solid–liquid equilibria in the LiOH–ethanol–water system: Solubility measurements and thermodynamic modeling

AIChE Journal, EarlyView.
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu, Chentao He, Janet A. W. Elliott, Liuyin Xia   +3 more
wiley   +1 more source

Antioxidant, Anti-Cholinesterase, and Neuroprotective Properties of <i>Morus alba</i> and <i>Morus nigra</i> Extracts. [PDF]

Antioxidants (Basel)
Nani Pohrib E, Corciova A, Cioanca O, Hritcu L, Hancianu M, Mitran AM, Burlec AF, Cimpanu AM, Isac CM, Huzum R, Danu E, Mircea C.   +11 more
europepmc   +1 more source

A practical electrodialysis model for accelerating system development

AIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman, Douglas Fankell, Jason C. Quinn, Kenneth F. Reardon   +3 more
wiley   +1 more source

Geometry-Aware Enhanced 6DRepNet for Single-RGB Head Pose Estimation. [PDF]

Sensors (Basel)
Yang H, Li Y, Mu M, Zhao M.
europepmc   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source

Few-shot deployment of pretrained MRI transformers in brain imaging tasks. [PDF]

Front Artif Intell
Li M, Shen G, Farris CW, Zhang X.
europepmc   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source