Results 231 to 240 of about 6,784,471 (306)

The representational nature of action-effect relations: A memory process dissociation approach. [PDF]

Psychon Bull Rev
Schreiner MR, Kunde W.
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Assessing the Relational Abilities of Large Language Models and Large Reasoning Models. [PDF]

Behav Sci (Basel)
Raemaekers M, Finn M, De Houwer J.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Fragile Connectedness in Caregiver-Adolescent Relationships Confers Risk for Diminished Well-Being. [PDF]

Fam Process
Fosco GM, Coffey JK.
europepmc   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Screening Electrocatalysts at the Level of Kinetic Barriers under Realistic Potential and Solvation. [PDF]

JACS Au
Jin C, Zhao 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

Physical and Social Factors Differentiating Acute and Chronic Low Back Pain Among Small- and Medium-Sized Enterprise Workers in Japan: A Cross-Sectional Study. [PDF]

Eur J Investig Health Psychol Educ
Tamekuni Y, Okuyama K, Motohiro A, Shiratsuchi D, Isomura M, Abrahamsson L, Lindström M, Sundquist K, Abe T.   +8 more
europepmc   +1 more source

Related events

Journal of the American Society for Mass Spectrometry, 1993
openaire   +1 more source