Results 61 to 70 of about 46,262 (237)
AI in chemical engineering: From promise to practice
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 +4 more
wiley +1 more source
Dick Cadd\u27s memorial service program.https://digitalcommons.georgefox.edu/fourflats_papers/1113/thumbnail ...
George Fox University Archives
core +1 more source
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
Social marketing and behavioral change. [PDF]
Petrescu DG +3 more
europepmc +1 more source
Religious Dimensions of Mediation [PDF]
This article takes an in-depth look at the religious roots of mediation, particularly emphasizing the influence of the Franciscan movement. It also discusses the religious roots of mediation in the United States, various strategies and styles of ...
Matthews-Giba, F.
core +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
Tribute to Annals of Family Medicine Associate Editor John Frey. [PDF]
Holkeboer J.
europepmc +1 more source
Throughout the Middle Ages, and indeed until quite recent times, Europe\u27s economy was primarily agrarian. From the eleventh century onward however, commerce followed by manufacturing and urbanization, became increasingly characteristic of Western ...
Bloom, Robert L. +6 more
core
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source

